Faculty Profiles - MATSUBARA, Shigeki

Papers - MATSUBARA, Shigeki

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Negation Scope Conversion: Towards a Unified Negation-Annotated Dataset Reviewed

Asahi Yoshida, Yoshihide Kato, Shigeki Matsubara

Proceeding of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING2024) 2323.5

On an Intermediate Task for Classifying URL Citations on Scholarly Papers Reviewed

Kazuhiro Wada, Masaya Tsunokake, Shigeki Matsubara

Proceeding of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING2024) 2024.5

語りの傾聴において不同意を示す応答の生成 Reviewed

伊藤滉一朗, 村田匡輝, 大野誠寛, 松原茂樹

自然言語処理 Vol. 31 ( 1 ) 2024.3

Re-Evaluating Syntax-Based Negation Scope Resolution Reviewed

YOSHIDA Asahi, KATO Yoshihide, MATSUBARA Shigeki

IEICE Transactions on Information and Systems Vol. E107.D ( 1 ) page： 165 - 168 2024.1

Authorship：Last author Language：English Publishing type：Research paper (scientific journal) Publisher：The Institute of Electronics, Information and Communication Engineers

Negation scope resolution is the process of detecting the negated part of a sentence. Unlike the syntax-based approach employed in previous researches, state-of-the-art methods performed better without the explicit use of syntactic structure. This work revisits the syntax-based approach and re-evaluates the effectiveness of syntactic structure in negation scope resolution. We replace the parser utilized in the prior works with state-of-the-art parsers and modify the syntax-based heuristic rules. The experimental results demonstrate that the simple modifications enhance the performance of the prior syntax-based method to the same level as state-of-the-art end-to-end neural-based methods.

DOI： 10.1587/transinf.2023edl8050

Research data storage URL： https://nagoya.repo.nii.ac.jp/records/2007004

Web of Science

Scopus

CiNii Research

Identifying Influential References in Scholarly Papers Using Citation Contexts Reviewed

Tomoki Ikoma, Shigeki Matsubara

Proceedings of the 25th International Conference on Asia-Pacific Digital Libraries (ICADL-2023) page： 152 - 161 2023.12

Paper Recommendation Using Citation Contexts in Scholarly Documents Reviewed

Tomoki Ikoma, Shigeki Matsubara

Proceedings of the 37th Pacific Asia Conference on Language, Information and Computation (PACLIC 37) 2023.12

Automatic Insertion of Commas and Linefeeds into Lecture Transcripts Based on Multi-task Learning Reviewed

Zhicheng Fang, Masaki Murata, Shigeki Matsubara:

Proceedings of the 37th Pacific Asia Conference on Language, Information and Computation (PACLIC 37) 2023.12

Identifying Influential References in Scholarly Papers Using Citation Contexts Reviewed

Ikoma T., Matsubara S.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 14458 page： 152 - 161 2023.12

On the Use of Language Models for Function Identification of Citations in Scholarly Papers Reviewed

Tomoki Ikoma and Shigeki Matsubara

Proceedings of the 2nd Workshop on Information Extraction from Scientific Publications (WIESP 2023) 2023.11

Revisiting Syntax-Based Approach in Negation Scope Resolution Reviewed

Asahi Yoshida, Yoshihide Kato and Shigeki Matsubara

Proceedings of the 12th Joint Conference on Lexical and Computational Semantics (*SEM2023) page： 18 - 23 2023.7

Natural Language Inference Using Neural Network and Tableau Method Reviewed

Saji Ayahito, Takao Daiki, Kato Yoshihide, Matsubara Shigeki

Journal of Natural Language Processing Vol. 30 ( 2 ) page： 632 - 663 2023.6

Authorship：Corresponding author Language：Japanese Publishing type：Research paper (scientific journal) Publisher：The Association for Natural Language Processing

Natural language inference (NLI) is the task of identifying the inferential relation between a text pair. In recent times, neural-based approaches have achieved high performance in NLI. However, they are unable to explain their reasoning processes. On the other hand, symbolic approaches have the advantage that their reasoning process is understandable to humans. This paper proposes a method for integrating a neural NLI model and the tableau proof system, with the latter explaining the reasoning processes. The standard tableau method decomposes logical formulas by applying inferential rules and checks for a valuation that satisfies the given constraints. Unlike the standard tableau method, the proposed method uses dependency structures as its components rather than logical formulas and employs a neural NLI model for the latter process. To analyze the behavior of our method, we conducted an experiment on the neural NLI model and the proposed method using SNLI corpus. In addition, we formalize our method model-theoretically and clarify the theoretical limitations of this method based on the formalization.

DOI： 10.5715/jnlp.30.632

Research data storage URL： https://nagoya.repo.nii.ac.jp/records/2003368

CiNii Research

Generation Timing Estimation of Responsive Utterances to Show Attentive Listening to Narrative Speech Reviewed

ITO Koichiro, MURATA Masaki, OHNO Tomohiro, MATSUBARA Shigeki

Vol. J106-A ( 3 ) page： 136 - 145 2023.3

Authorship：Last author Language：Japanese Publishing type：Research paper (scientific journal) Publisher：The Institute of Electronics, Information and Communication Engineers

Conversational agents, e.g., communication robots and smart speakers, are expected to listen to human narratives. For realizing such agents, it is necessary to generate responsive utterances at appropriate timings. This paper proposes a method to estimate the degree of appropriateness as generation timings of responsive utterances. The proposed method estimates the degree by encoding acoustic and linguistic narrative information with a transformer-based approach. To evaluate the performance, an experiment was conducted using 131,616 responsive utterances. The experimental results demonstrated that the proposed method was effective. Additionally, we confirmed that the degree of appropriateness was useful for response timing detection.

DOI： 10.14923/transfunj.2022hap0013

CiNii Research

Bottom-up Japanese Word Ordering using BERT Reviewed

Masato Yamazoe, Tomohiro Ohno and Shigeki Matsubara

Proceedings of the 15th International Conference on Agents and Artificial Intelligence (ICAART-2023) Vol. 3 page： 673 - 681 2023.2

Japanese Word Reordering based on Topological Sort Reviewed

Peng Sun, Tomohiro Ohno and Shigeki Matsubara

Proceedings of the 15th International Conference on Agents and Artificial Intelligence (ICAART-2023) Vol. 3 page： 768 - 775 2023.2

Question Difficulty Decision for Automated Interview in Foreign Language Test Reviewed

Minghao Lin, Koichiro Ito and Shigeki Matsubara

Proceedings of the 15th International Conference on Agents and Artificial Intelligence (ICAART-2023) Vol. 3 page： 768 - 775 2023.2

Japanese Word Reordering Based on Topological Sort

Sun P., Ohno T., Matsubara S.

International Conference on Agents and Artificial Intelligence Vol. 3 page： 768 - 775 2023

Language：English Publishing type：Research paper (scientific journal) Publisher：International Conference on Agents and Artificial Intelligence

In Japanese, some sentences are grammatically well-formed, but not easy to read. This paper proposes a method for Japanese word reordering, which first adapts a Japanese BERT model to predict suitable pairwise orderings between two words in a sentence, and then converts the predicted results into a graph. The vertices in the graph represent the words in the sentence. The edges represent the pairwise orderings between two words. Finally, topological sort is applied to find the correct word ordering in a sentence by visiting each graph vertex. We conducted an evaluation experiment with uneasy-to-read Japanese sentences created from newspaper article sentences.

DOI： 10.5220/0011775000003393

Scopus

Question Difficulty Decision for Automated Interview in Foreign Language Test

Lin M., Ito K., Matsubara S.

International Conference on Agents and Artificial Intelligence Vol. 3 page： 760 - 767 2023

Language：English Publishing type：Research paper (scientific journal) Publisher：International Conference on Agents and Artificial Intelligence

As globalization continues to progress all over the world, demand is growing for objective and rapid assessment of language proficiency in foreign language learners. While automated assessment of listening, reading, and writing skills has been proposed, little research has been done to automate assessment of speaking skills. In this paper, we propose a method of deciding the difficulty of questions generated for interview tests of skills assessment in speaking a foreign language. To address question difficulty flexibly according to the abilities of test takers, our method considers the appropriateness of responses from test takers. We implemented this method using the large-scale pre-trained language model BERT (Bidirectional Encoder Representation from Transformers). Experiments were conducted using simulated test data from the Japanese Learner’s Conversation Database to confirm the effectiveness of our method in deciding difficulty.

DOI： 10.5220/0011774900003393

Scopus

Extracting Information about Research Resources from Scholarly Papers Reviewed

Ayahito Saji and Shigeki Matsubara

Proceedings of the 24th International Conference on Asia-Pacific Digital Libraries (ICADL-2022) 2022.12

Classification of URL Citations in Scholarly Papers for Promoting Utilization of Research Artifacts Reviewed

Masaya Tsunokake and Shigeki Matsubara

Proceedings of AACL-IJCNLP-2022 The 1st Workshop on Information Extraction from Scientific Publications 2022.11

A Model-Theoretic Formalization of Natural Language Inference Using Neural Network and Tableau Method Reviewed

Ayahito Saji, Yoshihide Kato, Shigeki Matsubara

Proceedings of the 36th Pacific Asia Conference on Language, Information and Computation (PACLIC 35) 2022.10

Extracting Information about Research Resources from Scholarly Papers

Saji, A; Matsubara, S

FROM BORN-PHYSICAL TO BORN-VIRTUAL: AUGMENTING INTELLIGENCE IN DIGITAL LIBRARIES, ICADL 2022 Vol. 13636 page： 440 - 448 2022

Language：English Publishing type：Research paper (scientific journal) Publisher：Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

This paper presents a method to extract information about research resource metadata from scholarly papers to expand research resource repositories using an academic knowledge graph. Here, we considered the hypothesis that information extracted from scholarly papers is beneficial to expand research resource repositories from two perspectives: (1) the amount of information in existing metadata, and (2) the number of entries in existing repositories. We constructed an academic knowledge graph, where the nodes and directed edges in the graph correspond to the entities and their relations in scholarly papers, respectively. To verify our hypothesis, we constructed a knowledge graph using 15,721 papers published in international conferences. We then investigated the expandability of a language resource metadata repository using the constructed knowledge graph. The experimental results demonstrated that the constructed knowledge graph could be used to enrich the descriptions of metadata and increase the number of entries in the repository.

DOI： 10.1007/978-3-031-21756-2_35

Web of Science

Scopus

Construction of Responsive Utterance Corpus for Attentive Listening Response Production Reviewed

Ito K., Murata M., Ohno T., Matsubara S.

2022 Language Resources and Evaluation Conference, LREC 2022 page： 7244 - 7252 2022

Authorship：Last author Language：English Publishing type：Research paper (international conference proceedings) Publisher：2022 Language Resources and Evaluation Conference, LREC 2022

In Japan, the number of single-person households, particularly among the elderly, is increasing. Consequently, opportunities for people to narrate are being reduced. To address this issue, conversational agents, e.g., communication robots and smart speakers, are expected to play the role of the listener. To realize these agents, this paper describes the collection of conversational responses by listeners that demonstrate attentive listening attitudes toward narrative speakers, and a method to annotate existing narrative speech with responsive utterances is proposed. To summarize, 148,962 responsive utterances by 11 listeners were collected in a narrative corpus comprising 13,234 utterance units. The collected responsive utterances were analyzed in terms of response frequency, diversity, coverage, and naturalness. These results demonstrated that diverse and natural responsive utterances were collected by the proposed method in an efficient and comprehensive manner. To demonstrate the practical use of the collected responsive utterances, an experiment was conducted, in which response generation timings were detected in narratives.

Scopus

Construction of Responsive Utterance Corpus for Attentive Listening Response Production

Ito, K; Murata, M; Ohno, T; Matsubara, S

LREC 2022: THIRTEEN INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION page： 7244 - 7252 2022

Estimating the Generation Timing of Responsive Utterances by Active Listeners of Spoken Narratives Reviewed

Koichiro Ito, Masaki Murata, Tomohiro Ohno, and Shigeki Matsubara

Proceeding of 2021 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU 2021) page： 495 - 502 2021.12

Using Citation Contexts in Scholarly Papers for Research Data Search Reviewed

Masaya Tsunokake and Shigeki Matsubara

Proceedings of the 16th International Joint Symposium on Artificial Intelligence and Natural Language Processing (iSAI-NLP 2021) 2021.12

Identification of Important Utterances in Narrative Speech Using Attentive Listening Responses Reviewed

Shunsuke Kosugi, Koichiro Ito, Masaki Murata, Tomohiro Ohno, and Shigeki Matsubara

Proceedings of the 16th International Joint Symposium on Artificial Intelligence and Natural Language Processing (iSAI-NLP 2021) 2021.12

A New Representation for Span-based CCG Parsing Reviewed

Yoshihide Kato and Shigeki Matsubara

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP-2021) page： 10579 - 10584 2021.11

Natural Language Inference using Neural Network and Tableau Method Reviewed

Ayahito Saji, Daiki Takao, Yoshihide Kato and Shigeki Matsubara

Proceedings of the 35th Pacific Asia Conference on Language, Information and Computation (PACLIC 35) page： 406 - 414 2021.11

Classification of URLs Citing Research Artifacts in Scholarly Documents based on Distributed Representations Reviewed International journal

Tsunokake M., Matsubara S.

CEUR Workshop Proceedings of 2nd Workshop on Extraction and Evaluation of Knowledge Entities from Scientific Documents (EEKE2021) collocated with ACM/IEEE Joint Conference on Digital Libraries (JCDL2021) Vol. 3004 page： 20 - 25 2021.9

同時通訳における順送り方略の適用に影響する起点言語の特徴 Reviewed

蔡仲煕, 笠浩一朗, 松原茂樹

通訳翻訳研究 Vol. 20 page： 25 - 40 2021.2

Word reordering and comma insertion integrated with shift-reduce dependency parsing Reviewed

Miyachi K., Ohno T., Matsubara S.

ICAART 2021 - Proceedings of the 13th International Conference on Agents and Artificial Intelligence Vol. 2 page： 1144 - 1150 2021.2

Language：Japanese Publishing type：Research paper (international conference proceedings) Publisher：ICAART 2021 - Proceedings of the 13th International Conference on Agents and Artificial Intelligence

Japanese has widely recognized as relatively free word order language. However, since Japanese word order is not completely arbitrary and has some sort of preference, even native Japanese writers often write Japanese sentences that are grammatically well-formed but not easy to read. Furthermore, in Japanese sentences, a comma plays an important role in explicitly separating the constituents such as words and phrases. This paper proposes a method of word reordering and comma insertion for hard-to-read Japanese sentences so that they become easier to read, as basic technique. Our contribution is to show the feasibility of concurrently performing word reordering, comma insertion, and dependency parsing.

Scopus

A New Representation for Span-based CCG Parsing

Kato, Y; Matsubara, S

2021 CONFERENCE ON EMPIRICAL METHODS IN NATURAL LANGUAGE PROCESSING (EMNLP 2021) page： 10579 - 10584 2021

ESTIMATING THE GENERATION TIMING OF RESPONSIVE UTTERANCES BY ACTIVE LISTENERS OF SPOKEN NARRATIVES

Ito, K; Murata, M; Ohno, T; Matsubara, S

2021 IEEE AUTOMATIC SPEECH RECOGNITION AND UNDERSTANDING WORKSHOP (ASRU) page： 495 - 502 2021

Language：English Publishing type：Research paper (scientific journal) Publisher：2021 IEEE Automatic Speech Recognition and Understanding Workshop, ASRU 2021 - Proceedings

Narrating is a fundamental human desire. In order to satisfy the desire, it is more effective to have multiple listeners listen to narratives than to have one listener does. Conversational agents, e.g., communication robots and smart speakers, are expected to listen to narratives, instead of human listeners. For such agents to be recognized as narrative listeners, it is necessary to generate responsive utterances at appropriate timings. This paper proposes a method to estimate the generation timings of responsive utterances by active listeners of spoken narratives. The proposed method estimates them by encoding acoustic and linguistic information extracted from narratives with a transformer-based approach. To evaluate the performance of the proposed method, an experiment was conducted using 131, 616 responsive utterances to narratives. The experimental results demonstrated that the proposed method was effective for the estimation and both the acoustic and linguistic information was useful.

DOI： 10.1109/ASRU51503.2021.9688132

Web of Science

Scopus

A New Representation for Span-based CCG Parsing

Kato Y., Matsubara S.

EMNLP 2021 - 2021 Conference on Empirical Methods in Natural Language Processing, Proceedings page： 10579 - 10584 2021

Language：Japanese Publishing type：Research paper (scientific journal) Publisher：EMNLP 2021 - 2021 Conference on Empirical Methods in Natural Language Processing, Proceedings

This paper proposes a new representation for CCG derivations. CCG derivations are represented as trees whose nodes are labeled with categories strictly restricted by CCG rule schemata. This characteristic is not suitable for span-based parsing models because they predict node labels independently. In other words, span-based models may generate invalid CCG derivations that violate the rule schemata. Our proposed representation decomposes CCG derivations into several independent pieces and prevents the span-based parsing models from violating the schemata. Our experimental result shows that an off-the-shelf span-based parser with our representation is comparable with previous CCG parsers.

Scopus

Natural Language Inference using Neural Network and Tableau Method

Saji A., Takao D., Kato Y., Matsubara S.

Proceedings of the 35th Pacific Asia Conference on Language, Information and Computation, PACLIC 2021 page： 303 - 311 2021

Language：Japanese Publishing type：Research paper (scientific journal) Publisher：Proceedings of the 35th Pacific Asia Conference on Language, Information and Computation, PACLIC 2021

Natural language inference (NLI) is the task of identifying the inferential relation between a text pair. Neural-based approaches recently achieved high performance on the NLI task, but they cannot explain their reasoning processes. On the other hand, symbolic approaches have an advantage that the reasoning process is understandable to humans. This paper proposes a method to integrate a neural NLI model and a tableau proof system, the latter of which explains the reasoning processes. The standard tableau method consists of decomposing logical formulas by applying inferential rules, and checking whether or not there exists a valuation that satisfies the given constraints. Unlike the standard tableau method, our method adopts not logical formulas but dependency structures as its ingredients and uses a neural NLI model for the latter process. In order to analyze the behavior of a neural NLI model, we conducted an experiment on the neural NLI model alone and the proposed method using the SNLI corpus.

Scopus

Word Reordering and Comma Insertion Integrated with Shift-Reduce Dependency Parsing

Miyachi, K; Ohno, T; Matsubara, S

ICAART: PROCEEDINGS OF THE 13TH INTERNATIONAL CONFERENCE ON AGENTS AND ARTIFICIAL INTELLIGENCE - VOL 2 page： 1144 - 1150 2021

What Affects the Word Order of Target Language in Simultaneous Interpretation

Zhongxi Cai, Koichiro Ryu, and Shigeki Matsubara

2020 International Conference on Asian Language Processing, IALP 2020 page： 135 - 140 2020.12

Identification and Classification of Research Data Cited in Scholarly Papers

Tsunokake Masaya, Matsubara Shigeki

IEEJ Transactions on Electronics, Information and Systems Vol. 140 ( 12 ) page： 1357 - 1364 2020.12

Language：Japanese Publishing type：Research paper (scientific journal) Publisher：The Institute of Electrical Engineers of Japan

This paper proposes a method for identifying and classifying the research data cited in scholarly papers, aiming at automatic generation of metadata stored in data repository. This study focuses on URL citations in the scholarly papers. That is, the targets are to identify the URLs referring to the research data and to classify them into tool and data. The method is realized as a multi-class classification (tool/data/others). The method acquires the distributed representations of the URLs from the context around them, and uses them as the input feature. There exists an advantage in that the meanings of URLs can be given based on their surrounding words. This study adopts an approach of computing the meaning of the entire URL from those of the components of the URL. In order to evaluate the performance of the proposed method, experiments on URL classification were conducted. The scholarly papers included in the proceedings of the international conference were used as experimental data. Experimental results have shown the effectiveness of the proposed method for identifying and classifying URLs referring to research data.

DOI： 10.1541/ieejeiss.140.1357

Scopus

CiNii Research

Parsing Gapping Constructions Based on Grammatical and Semantic Roles Reviewed

Yoshihide Kato, Shigeki Matsubara

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP-2020) page： 2747 - 2752 2020.11

Identification of Research Data References Based on Citation Contexts

Tomoki Ikoma, Shigeki Matsubara

Vol. 12504 LNCS page： 149 - 156 2020

Relation between degree of empathy for narrative speech and type of responsive utterance in attentive listening

Koichiro Ito, Masaki Murata, Tomohiro Ohno, Shigeki Matsubara

LREC 2020 - 12th International Conference on Language Resources and Evaluation, Conference Proceedings page： 696 - 701 2020

Features of Source Language That Affect the Word Order of Target Language in Simultaneous Interpretation Reviewed

CAI Zhongxi, RYU Koichiro, MATSUBARA Shigeki

Interpreting and Translation Studies: The Journal of the Japan Association for Interpreting and Translation Studies Vol. 20 ( 0 ) page： 25 - 40 2020

Language：Japanese Publishing type：Research paper (scientific journal) Publisher：The Japan Association for Interpreting and Translation Studies

Simultaneous interpretation has to be conducted to shorten delay and reduce working memory
load. Interpreters adopt a strategy that involves the generation of a target language in the word
order that is similar to that of the source language. To clarify how the interpreters decide the
word order in practice, we conduct a statistical study on the word order of simultaneous
interpretation, based on comparison with written translation. The word order comparisons
indicate that the strategy of maintaining the original word order is more likely to be adopted in
cases where the word order is not consistent in different translations. We analyze the features of
source languages, including dependencies of chunk pairs, length of post modifier, and distance
between two chunks, and confirm that such features affect the word-order decision in
simultaneous interpretation.

DOI： 10.50837/its.2002

CiNii Research

PTB graph parsing with tree approximation Reviewed International journal

Kato Y., Matsubara S.

ACL 2019 - 57th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference page： 5344 - 5349 2020

Authorship：Last author Language：English Publishing type：Research paper (international conference proceedings) Publisher：ACL 2019 - 57th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference

The Penn Treebank (PTB) represents syntactic structures as graphs due to nonlocal dependencies. This paper proposes a method that approximates PTB graph-structured representations by trees. By our approximation method, we can reduce nonlocal dependency identification and constituency parsing into single tree-based parsing. An experimental result demonstrates that our approximation method with an off-the-shelf tree-based constituency parser significantly outperforms the previous methods in nonlocal dependency identification.

Scopus

What Affects the Word Order of Target Language in Simultaneous Interpretation

Cai Zhongxi, Ryu Koichiro, Matsubara Shigeki

2020 INTERNATIONAL CONFERENCE ON ASIAN LANGUAGE PROCESSING (IALP 2020) page： 135 - 140 2020

Relation between Degree of Empathy for Narrative Speech and Type of Responsive Utterance in Attentive Listening

Ito, K; Murata, M; Ohno, T; Matsubara, S

PROCEEDINGS OF THE 12TH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION (LREC 2020) page： 696 - 701 2020

Parsing Gapping Constructions Based on Grammatical and Semantic Roles

Kato, Y; Matsubara, S

PROCEEDINGS OF THE 2020 CONFERENCE ON EMPIRICAL METHODS IN NATURAL LANGUAGE PROCESSING (EMNLP) page： 2747 - 2752 2020

Parsing gapping constructions based on grammatical and semantic roles

Kato Y., Matsubara S.

EMNLP 2020 - 2020 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference page： 2747 - 2752 2020

Language：English Publishing type：Research paper (scientific journal) Publisher：EMNLP 2020 - 2020 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference

A gapping construction consists of a coordinated structure where redundant elements are elided from all but one conjuncts. This paper proposes a method of parsing sentences with gapping to recover elided elements. The proposed method is based on constituent trees annotated with grammatical and semantic roles that are useful for identifying elided elements. Our method outperforms the previous method in terms of F-measure and recall.

Scopus

PTB Graph Parsing with Tree Approximation Reviewed

Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL-2019) page： 5344-5349 2019.7

同時通訳における作業記憶の負荷と訳出との関係 Reviewed

笠浩一朗, 松原茂樹

通訳翻訳研究 ( 18 ) page： 1-12 2019.2

同時通訳における語の欠落に影響を及ぼす要因の分析 Reviewed

蔡仲煕, 笠浩一朗, 松原茂樹

通訳翻訳研究 ( 18 ) page： 1-14 2019.2

Statistical analyses of missing translations in simultaneous interpretation using a large-scale bilingual speech corpus

Cai Z., Ryu K., Matsubara S.

LREC 2018 - 11th International Conference on Language Resources and Evaluation page： 4282 - 4288 2019

Language：English Publishing type：Research paper (scientific journal) Publisher：LREC 2018 - 11th International Conference on Language Resources and Evaluation

This paper describes statistical analyses of missing translations in simultaneous interpretations. Eighty-eight lectures from English-to-Japanese interpretation data from a large-scale bilingual speech corpus were used for the analyses. Word-level alignment was provided manually, and English words without corresponding Japanese words were considered missing translations. The English lectures contained 46,568 content words, 33.1% of which were missing in the translation. We analyzed the relationship between missing translations and various factors, including the speech rate of the source language, delay of interpretation, part-of-speech, and depth in the syntactic structure of the source language. The analyses revealed that the proportion of missing translations is high when the speech rate is high and delay is large. We also found that a high proportion of adverbs were missed in the translations, and that words at deeper positions in the syntactic structure were more likely to be missed.

Scopus

PTB Graph Parsing with Tree Approximation

Kato, Y; Matsubara, S

57TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL 2019) page： 5344 - 5349 2019

Model-Theoretic Incremental Interpretation Based on Discourse Representation Theory Reviewed

Yoshihide Kato, Shigeki Matsubara

Proceedings of the 32nd Pacific Asia Conference on Language, Information and Computation (PACLIC 32) page： 1 2018.12

Statistical Analysis of Missing Translation in Simultaneous Interpretation Using A Large-scale Bilingual Speech Corpus Reviewed

Zhongxi Cai, Koichiro Ryu, Shigeki Matsubara

Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018) page： 4282-4288 2018.5

Collection of Responsive Utterances to Show Attentive Hearing of Narratives

Murata Masaki, Ohno Tomohiro, Matsubara Shigeki

IEEJ Transactions on Electronics, Information and Systems Vol. 138 ( 5 ) page： 637 - 638 2018.5

Language：Japanese Publishing type：Research paper (scientific journal) Publisher：The Institute of Electrical Engineers of Japan

This paper describes collection of responsive utterances of showing attentive hearing for narrative speech. In this research, a method of annotating an existing narrative corpus with responsive utterances was adopted. Actually, 16,213 responsive utterances were collected for a narrative corpus consisting of 13,381 utterances. It was confirmed that the method can collect a variety of natural responsive utterances.

DOI： 10.1541/ieejeiss.138.637

Scopus

CiNii Research

Corpus-based Analysis of Factors Leading to Missing Translation in Simultaneous Interpretation

CAI Zhongxi, RYU Koichiro, MATSUBARA Shigeki

Interpreting and Translation Studies: The Journal of the Japan Association for Interpreting and Translation Studies Vol. 18 ( 0 ) page： 133 - 146 2018

Language：Japanese Publishing type：Research paper (scientific journal) Publisher：The Japan Association for Interpreting and Translation Studies

This paper describes corpus-based analyses of missing translations in simultaneous interpretations. We used English-to-Japanese interpretation data in the simultaneous interpretation database of Nagoya University for the analyses. The English lectures contained 46,568 content words, and 33.1% of them were missing in the translation. We analyzed the relations between omissions and the factors that influence them, i.e., the speech rate of the source language, delay of interpretation, part-of-speech, and depth in the syntactic structure of the source language. The analyses revealed that the proportion of missing translations is high when the speech rate is high, and the delay of interpretation is large, i.e., adverbs were missing in the translations in a high proportion; the words at deeper positions in the syntactic structure were more likely to be missed.

DOI： 10.50837/its.1808

CiNii Research

Effect of Translating on Working Memory Load in Simultaneous Interpreting International journal

RYU Koichiro, MATSUBARA Shigeki

Interpreting and Translation Studies: The Journal of the Japan Association for Interpreting and Translation Studies Vol. 18 ( 0 ) page： 147 - 158 2018

Language：Japanese Publishing type：Research paper (scientific journal) Publisher：The Japan Association for Interpreting and Translation Studies

By employing corpus-based analyses of English-Japanese simultaneous interpretation, we discuss the influence translations have on the working memory load of simultaneous interpreters. To conduct a quantitative analysis with a large corpus, we used the Simultaneous Interpretation Database of Nagoya University. We analyzed a total of 88 sets of simultaneous interpretations of 22 different lectures in English given by 17 interpreters. When the load on the working memory of simultaneous interpreters is increased, the speech time increases, the translation rate decreases, but the average speech rate does not exhibit a relevant change.

DOI： 10.50837/its.1809

CiNii Research

Model-theoretic incremental interpretation based on discourse representation theory

Kato Y., Matsubara S.

Proceedings of the 32nd Pacific Asia Conference on Language, Information and Computation, PACLIC 2018 page： 254 - 262 2018

Language：Japanese Publishing type：Research paper (scientific journal) Publisher：Proceedings of the 32nd Pacific Asia Conference on Language, Information and Computation, PACLIC 2018

This paper proposes a model-theoretic approach to incremental interpretation where allsentence prefixes have semantic values. Theproposed semantics is based on DiscourseRepresentation Theory (DRT), where semantic representations (called DRSs) are interpreted as assignment updates. In our semantics, a partial DRS of a sentence prefix is interpreted as two sets which stipulate the assignment updates. One denotes possible updatesand the other denotes necessary updates. Withthe proposed semantics, we can assign truthvalues to sentence prefixes.

Scopus

Statistical Analyses of Missing Translations in Simultaneous Interpretation Using a Large-scale Bilingual Speech Corpus

Cai, ZX; Ryu, K; Matsubara, S

PROCEEDINGS OF THE ELEVENTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION (LREC 2018) page： 4282 - 4288 2018

Correcting Syntactic Annotation Errors Based on Tree Mining Reviewed

Kanta Suzuki, Yoshihide Kato, Shigeki Matsubara

IEICE Transactions on Information and Systems Vol. E100-D ( 5 ) page： 1106-1113 2017.5

Collection of responsive utterances to show attentive hearing attitude to speakers

Tomohiro Ohno, Masaki Murata, Shigeki Matsubara

Proceedings of the 11th International Conference on Ubiquitous Information Management and Communication (IMCOM-2017) ( 31 ) 2017.1

対話コーパスを用いた相づち生成タイミングの検出 Reviewed

大野誠寛，神谷優貴，松原茂樹

電子情報通信学会論文誌 Vol. J100-A ( 1 ) page： 53-65 2017.1

Left-Corner Parsing for Identifying PTB-Style Nonlocal Dependencies

Kato Yoshihide, Matsubara Shigeki

Journal of Natural Language Processing Vol. 24 ( 3 ) page： 371 - 394 2017

Language：English Publishing type：Research paper (scientific journal) Publisher：The Association for Natural Language Processing

Nonlocal dependencies represent syntactic phenomenon such as wh-movement, A-movement in passives, topicalization, raising, control, and right node raising. Nonlocal dependencies play an important role in semantic interpretation. This paper proposes a left-corner parser that identifies nonlocal dependencies. Our parser integrates nonlocal dependency identification into a transition-based system. We adopt a left-corner strategy in order to use the syntactic relation c-command, which plays an important role in nonlocal dependency identification. To utilize the global features captured by nonlocal dependencies, our parser uses a structured perceptron. In experimental evaluations, our parser achieved a good balance between constituent parsing and nonlocal dependency identification.

DOI： 10.5715/jnlp.24.371

CiNii Research

Incremental Semantic Construction Based on Combinatory Categorial Grammar Reviewed

Yoshihide Kato, Shigeki Matsubara

IEICE Transactions on Information and Systems Vol. E99-D ( 9 ) page： 2368-2376 2016.9

Transition-Based Left-Corner Parsing for Identifying PTB-Style Nonlocal Dependencies Reviewed

Yoshihide Kato, Shigeki Matsubara

Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (ACL-2016) page： 930-940 2016.8

係り受け解析との同時実行に基づく日本語文の語順整序 Reviewed

大野誠寛，吉田和史，加藤芳秀，松原茂樹

電子情報通信学会論文誌 Vol. J99-D ( 2 ) page： 201-213 2016.2

Language：Japanese Publishing type：Research paper (scientific journal)

日本語は語順が比較的自由であるといわれているが，語順に関する選好がないわけではない．そのため，文法的には間違っていないものの読みにくい語順をもった文が作成されることがある．本論文では，読みにくい語順の日本語文に対して，読みやすい語順となるように文節を並べ替える手法を提案する．本手法は，係り受け構造が付与されていない文を入力とし，係り受け解析と語順整序を同時に行う．係り受けと語順の適切さを同時に考慮することにより，読みやすい語順に精度よく整えることができる．評価実験では，文法的には間違っていないものの読みにくい語順をもつ文を新聞記事から擬似的に552文作成し，それらに対して語順整序を実行した．元の新聞記事文の語順を正解としたときの，語順整序結果との一致を測定した結果，本手法による語順整序結果は，比較のために設定した二つのベースラインと比べ高い正解率（83.82%）を達成しており，本手法の有効性を確認した．

Automatic Extraction of Task Statements from Structured Meeting Content Reviewed

Katashi Nagao, Kei Inoue, Naoya Morita, Shigeki Matsubara

Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management. (KDIR-2015) page： 307-315 2015.11

Japanese Word Reordering Executed Concurrently with Dependency Parsing and Its Evaluation Reviewed

Tomohiro Ohno, Kazushi Yoshida, Yoshihide Kato, Shigeki Matsubara

Proceedings of the 15th European Workshop on Natural Language Generation (ENLG2015), Association for Computational Linguistics page： 61-65 2015.9

Incremental Semantic Construction Using Normal Form CCG Derivation Reviewed

Yoshihide Kato, Shigeki Matsubara

Proceedings of the 4th Joint Conference on Lexical and Computational Semantics (*SEM2015), Association for Computational Linguistics page： 269-278 2015.6

文節間の依存・非依存を同定する漸進的係り受け解析 Reviewed

大野誠寛, 松原茂樹

電子情報通信学会論文誌 Vol. D-98 ( 4 ) page： 709-718 2015.4

Identifying Nonlocal Dependencies in Incremental Parsing Reviewed

Yoshihide Kato, Shigeki Matsubara

IEICE Transations on Information and Systems Vol. E98-D ( 4 ) page： 994-998 2015.4

Japanese Word Reordering Integrated with Dependency Parsing Reviewed

Kazushi Yoshida, Tomohiro Ohno, Yoshihide Kato, Shigeki Matsubara

Proceedings of the 25th International Conference on Computational Linguistics (COLING2014) page： 1186-1196 2014.8

自然なニュース音声の自動生成に向けた体言止めの文への文末表現の補完 Reviewed

松原茂樹, 村田匡輝

電子情報通信学会論文誌 Vol. D-97 ( 1 ) page： 181-185 2014.1

Dependency Structure for Incremental Parsing of Japanese and its Application Invited Reviewed

Tomohiro Ohno, Shigeki Matsubara.

Proceedings of the 13th International Conference on Parsing Technologies (IWPT-2013), Association for Computational Linguistics page： 91-97 2013.11

Collocation Extraction Using a PMI-Based Association Measure for Dependency Tree Pattern Reviewed

Hiroki Takayama, Yoshihide Kato, Tomohiro Ohno, Shigeki Matsubara, Yoshiharu Ishikawa

Proceedings of 10th Symposium on Natural Language Processing (SNLP-2013) page： 136-141 2013.10

講演のリアルタイム字幕生成のための逐次的な改行挿入 Reviewed

大野誠寛，村田匡輝，松原茂樹

電気学会論文誌 Vol. 133-C ( 2 ) page： 418-426 2013.2

Design and Collection of Ontological Metadata for Enhancing Interoperability of Language Resources Reviewed

Shunsuke Kozawa, Hitomi Tohyama, Kiyotaka Uchimoto, Shigeki Matsubara, Hitoshi Isahara

International Journal of Knowledge and Web Intelligence Vol. 3 ( 3 ) page： 206-223 2012.12

同時通訳システムの現状と課題 Invited

松原茂樹

通訳翻訳研究 ( 12 ) page： 21-30 2012.12

読点の用法的分類に基づく日本語テキストへの自動読点挿入 Reviewed

村田匡輝, 大野誠寛，松原茂樹

電子情報通信学会論文誌 Vol. J95-D ( 9 ) page： 1783-1793 2012.9

言語資源の用途情報の獲得と利用 Reviewed

小澤俊介, 遠山仁美，内元清貴, 松原茂樹

電子情報通信学会論文誌 Vol. J95-A ( 7 ) page： 611-622 2012.7

Personalized Text Formatting for E-mail Messages Reviewed

Masaki Murata, Tomohiro Ohno, Shigeki Matsubara

Intelligent Interactive Multimedia: Systems and Services, SIST Vol. 14 page： 459-468 2012.5

Personalization of News Speech Delivery Service based on Transformation from Written Language to Spoken Language Reviewed

Shigeki Matsubara, Yukiko Hayashi

Intelligent Interactive Multimedia: Systems and Services, SIST Vol. 14 page： 449-457 2012.5

モノの使われ方の情報がノウハウ獲得に与える影響 Reviewed

小澤俊介, 内元清貴, 松原茂樹

電子情報通信学会論文誌 Vol. J95-D ( 3 ) page： 506-517 2012.3

Detection of Favorite Phrases from Conversational Speech Reviewed

Tomohiro Ohno, Shigeki Matsubara

page： 163-167 2012.2

Corpus-based Analysis of Simultaneous Interpreters' Speech Rates Reviewed

Koichiro Ryu, Haibei Yu, Shigeki Matsubara

Proceedings of 9th International Symposium on Natural Language Processing page： 110-114 2012.2

Automatic Acquisition of Useful English Expressions Using Dependency Relations Reviewed

Yoshihide Kato, Kazuhide Kuzuhara, Shigeki Matsubara

Proceedings of 9th International Symposium on Natural Language Processing page： 45-48 2012.2

外出行動前のユーザへの情報提供を目的としたWebからのアドバイス文抽出 Reviewed

小澤俊介, 岡本昌之, 長野伸一, 長健太, 松原茂樹

情報処理学会論文誌 Vol. 53 ( 1 ) page： 105-116 2012.1

Acquisition of Know-How Information from Web Reviewed

Shunsuke Kozawa, Kiyotaka Uchimoto, Shigeki Matsubara

Proceedings of 7th Asia Information Retrieval Societies Conference Vol. 7097 page： 446-457 2011.12

Automatic Text Formatting for Social Media based on Linefeed and Comma Insertion Reviewed

Masaki Murata, Tomohiro Ohno, Shigeki Matsubara

Intelligent Interactive Multimedia Systems and Services, Proceedings of the 4th International Conference on Intelligent Interactive Multimedia Systems and Services (IIMSS-2011), Smart Innovation Systems and Technologies Vol. 11 page： 285-294 2011.7

Advice Extraction fromWeb for Providing Prior Information Concerning Outdoor Activities Reviewed

Shunsuke Kozawa, Masayuki Okamoto, Shinichi Nagano, Kenta Cho, Shigeki Matsubara

安定性を備えたあいづちコーパスの設計と評価 Reviewed

大野誠寛, 神谷優貴，松原茂樹

電子情報通信学会論文誌 Vol. J94-D ( 3 ) page： 623-627 2011.3

Automatic Comma Insertion for Japanese Text Generation Reviewed

Masaki Murata, Tomohiro Ohno, Shigeki Matsubara

Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing (EMNLP-2010) page： 892-901 2010.10

Coherent Back-Channel Feedback Tagging of In-Car Spoken Dialogue Corpus Reviewed

Yuki Kamiya, Tomohiro Ohno, Shigeki Matsubara

Proceedings of 11th Annual SIGdial Meeting on Discourse and Dialogue (ACL SIGDIAL-2010) page： 205-208 2010.9

Correcting Syntactic Annotation Errors Using a Synchronous Tree Substitution Grammar Reviewed

Yoshihide Kato, Shigeki Matsubara

IEICE Transactions on Information and Systems Vol. E93-D ( 9 ) page： 2660-2663 2010.9

Translation Unit for Simultaneous Japanese-English Spoken Dialogue Translation Reviewed

Koichiro Ryu, Shigeki Matsubara, Yasuyoshi Inagaki

Proceedings of 2nd KES International Symposium on Intelligent Decision Technologies (KES-IDT-2010) page： 475--484 2010.7

Construction of Linefeed Insertion Rules for Lecture Transcript and their Evaluation Reviewed

Masaki Murata, Tomohiro Ohno, Shigeki Matsubara

International Journal of Knowledge and Web Intelligence Vol. 1 ( 3/4 ) page： 227-242 2010.7

Product Retrieval based on Semantic Similarity of Consumer Reviews to Natural Language Query Reviewed

Kenji Sugiki, Shigeki Matsubara

International Journal of Knowledge and Web Intelligence Vol. 1 ( 3/4 ) page： 210-226 2010.7

Correcting Errors in a Treebank Based on Synchronous Tree Substitution Grammar Reviewed

Yoshihide Kato, Shigeki Matsubara

Proceedings of the 48th Conference of Association for Computational Linguistics (ACL-2010) page： 74-79 2010.7

Automatic Extraction of Phrasal Expressions for Supporting English Academic Writing Reviewed

Shunsuke Kozawa, Yuta Sakai, Kenji Sugiki, Shigeki Matsubara

Proceedings of 2nd KES International Symposium on Intelligent Decision Technologies (KES-IDT-2010) page： 485--493 2010.7

Construction of Back-Channel Utterance Corpus for Responsive Spoken Dialogue System Development Reviewed

Yuki Kamiya, Tomohiro Ohno, Shigeki Matsubara

Proceedings of 7th International Language Resources and Evaluation (LREC-2010) page： 2414-2419 2010.5

Collection of Usage Information for Language Resources from Academic Articles Reviewed

Shunsuke Kozawa, Hitomi Tohyama, Kiyotaka Uchimoto, Shigeki Matsubara

Proceedings of 7th International Language Resources and Evaluation (LREC-2010) page： 1227-1232 2010.5

Construction of Chunk-Aligned Bilingual Lecture Corpus for Simultaneous Machine Translation Reviewed

Masaki Murata, Tomohiro Ohno, Shigeki Matsubara, Yasuyoshi Inagaki

Proceedings of 7th International Language Resources and Evaluation (LREC-2010) page： 1765-1770 2010.5

Utilization of Usage Information for Language Resource Searches Reviewed

Shunsuke Kozawa, Hitomi Tohyama, Kiyotaka Uchimoto, Shigeki Matsubara

Proceedings of 2nd International Conference on Global Interoperability for Language Resources (ICGL-2010) page： 91-94 2010.1

同時通訳者の話速に影響を及ぼす要因の定量的分析 Reviewed

笠浩一朗, 于海貝, 松原茂樹

通訳翻訳研究（日本通訳翻訳学会誌） ( 9 ) page： - 2009.12

*Incremental Parsing with Adjoining Operation Reviewed

Yoshihide Kato, Shigeki Matsubara

IEICE Transactions on Information and Systems Vol. E92-D ( 12 ) page： 2306-2312 2009.12

Cross-lingual English Sentence Retrieval Considering Syntactic Structures of Japanese Queries Reviewed

Kazuya Kuzuhara, Yoshihide Kato, Shigeki Matsubara

Proceedings of 8th International Symposium on Natural Language Processing (SNLP-2009) page： 128-131 2009.10

Acquisition of Useful Expressions from English Research Papers Reviewed

Yuta Sakai, Kenji Sugiki, Shigeki Matsubara

Proceedings of 8th International Symposium on Natural Language Processing (SNLP-2009) page： 59-62 2009.10

*読みやすい字幕生成のための講演テキストへの改行挿入 Reviewed

村田匡輝, 大野誠寛, 松原茂樹

電子情報通信学会論文誌 Vol. J92-D ( 9 ) page： 1621-1631 2009.9

Incremental Parsing with Monotonic Adjoining Operation Reviewed

Yoshihide Kato, Shigeki Matsubara

Proceedings of the 47th Annual Meeting of the Association for Computational Linguistics and the 4th International Joint Conference on Natural Language Processing (ACL-IJCNLP-2009 Short Papers) page： 41-44 2009.8

Linefeed Insertion into Japanese Spoken Monologue for Captioning Reviewed

Tomohiro Ohno, Masaki Murata,Shigeki Matsubara

Automatic Linefeed Insertion for Improving Readability of Lecture Transcript Reviewed

Masaki Murata,Tomohiro Ohno, Shigeki Matsubara

Ernesto Damiani, Jechang Jeong, Robert J. Howlett, and Lakhmi C. Jain (Eds.): New Directions in Intelligent Interactive Multimedia Systems and Services, Studies in Computer Science Vol. 226 page： 499-509 2009.7

Text-Style Conversion of Speech Transcript into Web Document for Lecture Archive Reviewed

Masashi Ito,Tomohiro Ohno, Shigeki Matsubara

Journal of Advanced Computational Intelligence and Intelligent Informatics Vol. 13 ( 4 ) page： 499-505 2009.7

Predicate Paraphrasing of Newspaper Articles for In-Vehicle On-demand News Speech Delivery System Reviewed

Shigeki Matsubara, Yukiko Hayashi, Kenji Sugiki, Nobuo Kawaguchi

Proceedings of 4th Biennial Workshop on DSP for In-Vehicle Systems and Safety page： 20 2009.6

*英日同時翻訳のための依存構造に基づく訳文生成手法 Reviewed

笠浩一朗，松原茂樹，稲垣康善

電子情報通信学会論文誌 Vol. J92-D ( 6 ) page： 921-933 2009.6

Underground Positioning: Subway Information System using WiFi Location Technology Reviewed

Nobuo Kawaguchi, Motoki Yano, Shogo Ishida, Takeshi Sasaki, Yohei Iwasaki, Kenji Sugiki, Shigeki Matsubara

Proceeding of the 10th International Conference on Mobile Data Management (MDM-2009) page： 371-372 2009.5

*依存構造に基づく用例文検索手法とその評価 Reviewed

加藤芳秀，江川誠二，松原茂樹，稲垣康善

Vol. J92-D ( 3 ) page： 417-427 2009.3

Text Editing for Lecture Speech Archiving on the Web Reviewed

Masashi Ito,Tomohiro Ohno, Shigeki Matsubara

ICCPOL2009: Computer Processing of Oriental Language, Lecture Note in Artificial Intelligence Vol. 5459 page： 362-369 2009.3

節の始境界検出に基づく独話文の係り受け解析 Reviewed

大野誠寛、松原茂樹、柏岡秀紀、稲垣康善

情報処理学会論文誌 Vol. 50 ( 02 ) page： 553-562 2009.2

Sentence Compression by Removing Recursive Structure from Parse Tree Reviewed

Seiji Egawa, Yoshihide Kato, Shigeki Matsubara

PRICAI 2008: Trends in Artificial Intelligence, Lecture Note in Artificial Intelligence Vol. 5351 page： 115-127 2008.12

Sentence Compression by Structural Conversion of Parse Tree Reviewed

Seiji Egawa, Yoshihide Kato, Shigeki Matsubara

Proceedings of 3rd International Conference on Digital Information Management (ICDIM-2008) page： 544-550 2008.11

English Sentence Retrieval System Based on Dependency Structure and its Evaluation Reviewed

Yoshihide Kato, Seiji Egawa, Shigeki Matsubara, Yasuyoshi Inagaki

Proceedings of 3rd International Conference on Digital Information Management (ICDIM-2008) page： 279-285 2008.11

*A Product Retrieval System Robust to Subjective Queries Reviewed

Kenji Sugiki, Shigeki Matsubara

International Journal of Product Lifecycle Management Vol. 3 ( 2/3 ) page： 151-164 2008.11

Dependency Parsing of Japanese Spoken Monologue Based on Clause-Starts Detection Reviewed

Tomohiro Ohno, Shigeki Matsubara, Hideki Kashioka and Yasuyoshi Inagaki

Proceedings of 8th Interspeech Conference (INTERSPEECH-2008) page： 2454-2457 2008.9

Automatic Editing of Spoken Document for Intelligent Speech Archive Reviewed

Masashi Ito, Tomohiro Ohno, Shigeki Matsubara

Proceedings of SCIS Conference (SCIS-2008) page： 364-369 2008.9

Construction of an Infrastructure for Providing Users with Suitable Language Resources Reviewed

Hitomi Tohyama, Shunsuke Kozawa, Kiyotaka Uchimoto, Shigeki Matsubara and Hitoshi Isahara

Proceedings of 23th International Conference on Computational Linguistics (COLING-2008) page： 119-122 2008.8

消費者の意見に基づく商品検索 Reviewed

杉木健二，松原茂樹

情報処理学会論文誌 Vol. 49 ( 7 ) page： 2598-2603 2008.7

英文作成支援ツールとしての用例文検索システムESCORT Invited Reviewed

松原茂樹、加藤芳秀、江川誠二

情報管理 Vol. 51 ( 4 ) page： 251-259 2008.7

同時通訳の工学と科学－次世代自動通訳技術の実現に向けて－ Invited Reviewed

松原茂樹

情報処理 Vol. 51 ( 6 ) page： 617-623 2008.6

Construction and Analysis of Word-level Time-aligned Simultaneous Interpretation Corpus Reviewed

Takahiro Ono, Hitomi Tohyama, and Shigeki Matsubara

Proceeding of 6th International Conference on Language Resouces and Evaluation (LREC-2008) page： - 2008.5

Shunsuke Kozawa, Hitomi Tohyama, Kiyotaka Uchimoto, and Shigeki Matsubara Reviewed

Automatic Acquisition of Usage Information for Language Resources

Proceeding of 6th International Conference on Language Resouces and Evaluation (LREC-2008) page： - 2008.5

Construction of a Metadata Database for Efficient Development and Use of Language Resources Reviewed

Hitomi Tohyama, Shunsuke Kozawa, Kiyotaka Uchimoto, Shigeki Matsubara and Hitoshi Isahara

Proceeding of 6th International Conference on Language Resouces and Evaluation (LREC-2008) page： - 2008.5

SHACHI: A Large Scale Metadata Database of Language Resources Reviewed

Hitomi Tohyama, Shunsuke Kozawa, Kiyotaka Uchimoto, Shigeki Matsubara and Hitoshi Isahara

Proceedings of 1st International Conference on Global Interoperability for Language Resources (ICGL-2008) page： 205-212 2008.1

Simultaneous Machine Interpretation using Finite State Transducer Reviewed

Koichiro Ryu, Shigeki Matsubara and Yasuyoshi Inagaki

Proceedings of 7th International Symposium on Natural Language Processing page： 239-244 2007.12

英日同時通訳者発話におけるフィラーの出現と聴きやすさとの関係 Reviewed

遠山仁美，松原茂樹

通訳研究（日本通訳学会誌） Vol. 7 page： 39-49 2007.12

大規模音声コーパスを用いた日英・英日同時通訳における訳出遅延の比較分析 Reviewed

小野貴博，遠山仁美，松原茂樹

通訳研究（日本通訳学会誌） Vol. 7 page： 51-64 2007.12

Sentence-Style Conversion of Japanese News Article for Text-to-Speech Application Reviewed

Yukiko Hayashi, Shigeki Matsubara

Proceedings of 7th International Symposium on Natural Language Processing page： 257-262 2007.12

PARSEVAL measures に基づく漸進的構文解析の定量的評価 Reviewed

加藤芳秀，松原茂樹，稲垣康善

電子情報通信学会論文誌 Vol. J90-D ( 10 ) page： 2545-2549 2007.10

A Product Retrieval System Robust to Subjective Queries Reviewed

Kenji Sugiki, Shigeki Matsubara

Proceedings of 2nd IEEE International Conference on Digital Information Management page： 111-122 2007.10

Simultaneous Summarization of Japanese Spoken Monologue for Real-time Captioning Reviewed

Tomohiro Ohno, Shigeki Matsubara, Hideki Kashioka, Yasuyoshi Inagaki

Proceedings of 2007 IEEE Natural Language Processing and Knowledge Engineering page： 373-380 2007.9

Dependency Parsing of Japanese Monologue Using Clause Boundaries Reviewed

Tomohiro Ohno, Shigeki Matsubara, Hideki Kashioka, Takehiko Maruyama, Hideki Tanaka and Yasuyoshi Inagaki

Language Resources and Evaluation Vol. 40 ( 3/4 ) page： 263-279 2007.7

Language：English Publishing type：Research paper (scientific journal)

Spoken monologues feature greater sentence length and structural complexity than spoken dialogues. To achieve high-parsing performance for spoken monologues, simplifying the structure by dividing a sentence into suitable language units could prove effective. This paper proposes a method for dependency parsing of Japanese spoken monologues based on sentence segmentation. In this method, dependency parsing is executed in two stages: at the clause level and the sentence level. First, dependencies within a clause are identified by dividing a sentence into clauses and executing stochastic dependency parsing for each clause. Next, dependencies across clause boundaries are identified stochastically, and the dependency structure of the entire sentence is thus completed. An experiment using a spoken monologue corpus shows the effectiveness of this method for efficient dependency parsing of Japanese monologue sentences.

節境界に基づく独話の漸進的係り受け解析, Reviewed

大野誠寛，松原茂樹，柏岡秀紀，加藤直人，稲垣康善

電子情報通信学会論文誌 Vol. J90-D ( 2 ) page： 556-566 2007.2

依存構造に基づくコーパス検索

加藤芳秀，松原茂樹，稲垣康善

電子情報通信学会論文誌 Vol. J89-D ( 12 ) page： 2766-2770 2006.12

訳出遅延時間と訳出開始タイミングに着目した同時通訳者の話者発話追従ストラテジーに関する分析 Reviewed

遠山仁美，松原茂樹

通訳研究(日本通訳学会誌） ( 6 ) page： 113-128 2006.12

Influence of Pause Length on Listeners' Impressions in Simultaneous Interpretation Reviewed

Hitomi Tohyama, Shigeki Matsubara

Proceedings of 9th International Conference on Spoken Language Processing page： 893-896 2006.9

Dependency Parsing of Japanese Spoken Monologue Based on Clause Boundaries Reviewed

Tomohiro Ohno, Shigeki Matsubara, Hideki Kashioka, Takehiko Maruyama, Yasuyoshi Inagaki

Proceedings of Joint 21th International Conference on Computational Linguistics and 44th Annual Meeting of the Association for Computational Linguistics page： 169-176 2006.7

Simultaneous English-Japanese Spoken Language Translation Based on Incremental Dependency Parsing and Transfer Reviewed

Koichro Ryu, Shigeki Matsubara, Yasuyoshi Inagaki

Proceedings of Joint 21th International Conference on Computational Linguistics and 44th Annual Meeting of the Association for Computational Linguistics page： 683-690 2006.7

Language：English

This paper proposes a method for incrementally translating English spoken language into Japanese. To realize simultaneous translation between languages with different word order, such as English and Japanese, our method utilizes the feature that the word order of a target language is flexible. To resolve the problem of generating a grammatically incorrect sentence, our method uses dependency structures and Japanese dependency constraints to determine the word order of a translation.Moreover, by considering the fact that the inversion of predicate expressions occurs more frequently in Japanese spoken
language, our method takes advantage of a predicate inversion to resolve the problem that Japanese has the predicate at the end of a sentence. Furthermore, our
method includes the function of canceling an inversion by restating a predicate when the translation is incomprehensible due to the inversion. We implement a prototype translation system and conduct an experiment with all 578 sentences in the ATIS corpus. The results ndicate improvements in comparison to two other methods.

Development of Web-based Teaching Material for Simultaneous Interpreting Learners using Bilingual Speech Corpus Reviewed

Hitomi Tohyama, Shigeki Matsubara

Proceedings of World Conference on Educational Multimedia, Hypermedia & Telecommunications page： 2906-2911 2006.6

Collection of Simultaneous Interpreting Patterns by Using Bilingual Spoken Monologue Corpus Reviewed

Hitomi Tohyama, Shigeki Matsubara

Proceedings of 5th International Conference on Language Resources and Evaluation page： 2564-2569 2006.5

Layered Speech-Act Annotation for Spoken Dialogue Corpus Reviewed

Yuki Irie, Shigeki Matsubara, Nobuo Kawauguchi, Yukiko Yamaguchi, Yasuyoshi Inagaki

Proceedings of 5th International Conference on Language Resources and Evaluation page： 1584-1589 2006.5

A Syntactically Annotated Corpus of Japanese Spoken Monologue Reviewed

Tomohiro Ohno, Shigeki Matsubara, Hideki Kashioka, Naoto Kato, Yasuyoshi Inagaki

Proceedings of 5th International Conference on Language Resources and Evaluation page： 1590-1595 2006.5

A Corpus Search System Utilizing Lexical Dependency Structure Reviewed

Yoshihide Kato, Shigeki Matsubara, Yasuyoshi Inagaki

Proceedings of 5th International Conference on Language Resources and Evaluation page： 2269-2272 2006.5

Legal Document Summarization using Judicial Precedent Corpus Reviewed

Shinji Banno, Shigeki Matsubara, Masatoshi Yoshikawa

Proceedings of 6th Symposium on Natural Language Processing page： 43-48 2005.12

同時通訳における聴きやすさとポーズの関係, －同時通訳コーパスを用いた被験者実験による分析－ Reviewed

遠山仁美、松原茂樹

通訳研究(日本通訳学会誌） ( 5 ) page： 137-155 2005.12

Dialogue Structure Annotation of In-car Speech Corpus based on Speech-Act Tag Reviewed

Shingo Kato, Shigeki Matsubara, Yukiko Yamaguchi, Nobuo Kawaguchi

Proceedings of International Conference on Speech Databases and Assessment page： 159-163 2005.12

Interpreting Unit Segmentation of Conversational Speech in Simultaneous Interpretation Corpus Reviewed

Zhe Ding, Koichiro Ryu, Shigeki Matsubara, Masatoshi Yoshikawa

Proceedings of International Conference on Speech Databases and Assessment page： 148-152 2005.12

Construction of Web Directory Using Hyperlink and Anchor Text Reviewed

Yusuke Suzuki, Shigeki Matsubara and Masatoshi Yoshikawa

Proceedings of 2005 IEEE International Conference on Natural Language Processing and Knowledge Engineering (NLP-KE-2005) page： 614-619 2005.10

音声対話コーパスにおける発話意図タグの設計と評価 Reviewed

入江友紀、松原茂樹、河口信夫、山口由紀子、稲垣康善

電子情報通信学会論文誌 Vol. J88-D-II ( 10 ) page： 2169-2173 2005.10

Construction of Structurally Annotated Spoken Dialogue Corpus Reviewed

Shingo Kato, Shigeki Matsubara, Yukiko Yamaguchi, Nobuo Kawaguchi

Proceedings of IJCNLP-2005 Workshop on Asian Language Resources (ALR-2005) page： 40-47 2005.10

Incremental Dependency Parsing of Japanese Spoken Monologue based on Clause Boundaries Reviewed

Tomohiro Ohno, Shigeki Matsubara, Hideki Kashioka, Naoto Kato, and Yasuyoshi Inagaki

Proceedings of 9th European Conference on Speech Communication and Technology(Eurospeech-2005) page： 3449-3452 2005.9

Towards Robust Spoken Dialogue System Using Large-Scale In-car Speech Corpus Reviewed

Yukiko Yamaguchi, Keita Hayashi, Takahiro Ono, Shingo Kato, Yuki Irie, Tomohiro Ohno, Hiroya Murao, Shigeki Matsubara, Nobuo Kawaguchi, Kazuya Takeda

Proceedings of Workshop on DSP for in-Vehicle and Mobile Systems Vol. Online 2005.9

Construction and Utilization of Bilingual Speech Corpus for Simultaneous Machine Interpretation Research Reviewed

Hitomi Tohyama, Shigeki Matsubara, Nobuo Kawaguchi, and Yasuyoshi Inagaki

Proceedings of 9th European Conference on Speech Communication and Technology(Eurospeech-2005) page： 1585-1588 2005.9

Hierarchical Organization of Web Documents based on Hypertext Classification Reviewed

Yusuke Suzuki, Shigeki Matsubara, and Masatoshi Yoshikawa

Proceedings of International Advanced Digital Library Conference page： 59-71 2005.8

Analysis of a Large In-Car Speech Corpus Reviewed

Hiroshi Fujimura, Nobuo Kawaguchi, Shigeki Matsubara, Katsunobu Itou, and Kazuya Takeda

Proceedings of ICDE International Workshop on Realworld Multimedia Corpora in Mobile Environment (RMCinME) page： - 2005.4

Robust Dependency Parsing of Spontaneous Japanese Spoken Language Reviewed

Tomohiro Ohno, Shigeki Matsubara, Nobuo Kawaguchi, and Yasuyoshi Inagaki

IEICE Transactions on Information and Systems Vol. E88-D ( 3 ) page： 545-552 2005.3

CIAIR in-car Speech Corpus -Influence of Driving Status- Reviewed

Nobuo Kawaguchi, Shigeki Matsubara, Kazuya Takeda and Fumitada Itakura

IEICE Transactions on Information and Systems Vol. E88-D ( 3 ) page： 578-582 2005.3

Construction and Evaluation of a Large in-car Speech Corpus Reviewed

Kazuya Takeda, Hiroshi Fujimura, Katsunobu Itou, Nobuo Kawaguchi, Shigeki Matsubara and Fumitada Itakura

IEICE Transactions on Information and Systems Vol. E88-D ( 3 ) page： 553-561 2005.3

Example-based Query Generation for Spontaneous Speech Reviewed

Hiroya Murao, Nobuo Kawaguchi, Shigeki Matsubara, Yasuyoshi Inagaki

IEICE Transactions on Information and Systems Vol. E87-D ( 2 ) page： 578-582 2005.2

Incremental Dependency Parsing Based on Headed Context Free Grammar Reviewed

Yoshihide Kato, Shigeki Matsubara, Katsuhiko Toyama, and Yasuyoshi Inagaki

Systems and Computers in Japan Vol. 36 ( 2 ) page： 84-97 2005.2

Design and Evaluation of Layered Intention Tag In-Car Speech Corpus Reviewed

Yuki Irie, Shigeki Matsubara, Nobuo Kawaguchi, Yukiko Yamaguchi, Yasuyoshi Inagaki

Proceedings of Oriental-COCOSDA-2004 ( 2 ) 2004.12

CIAIR Simultaneous Interpretation Corpus Reviewed

Hitomi Tohyama, Shigeki Matsubara, Koichiro Ryu, Nobuo Kawaguchi and Yasuyoshi Inagaki

Proceedings of Oriental-COCOSDA-2004 ( 2 ) 2004.11

Speech Intention Understanding based on Decision Tree Learning Reviewed

Yuki Irie, Shigeki Matsubara, Nobuo Kawaguchi, Yukiko Yamaguchi and Yasuyoshi Inagaki

Proceedings of 8th International Conference on Spoken Language Processing page： Online 2004.10

Dialogue Management and Response Generation in Corpus-Based Spoken Dialogue System Reviewed

Keita Hayashi, Yukiko Yamaguchi, Shigeki Matsubara, Nobuo Kawaguchi

Proceedings of 8th International Conference on Spoken Language Processing page： Online 2004.10

Example-based Spoken Dialogue System with Online Example Augmentation Reviewed

Hiroya Murao, Nobuo Kawaguchi, Shigeki Matsubara, and Yukiko Yamaguchi, Yasuyoshi Inagaki

Proceedings of 8th International Conference on Spoken Language Processing page： Online 2004.10

CIAIR In-Car Speech Database Reviewed

Nobuo Kawaguchi, Shigeki Matsubara, Yukiko Yamaguchi, Kazuya Takeda and Fumitada Itakura

Proceedings of 8th International Conference on Spoken Language Processing page： Online 2004.10

Robust Dependency Parsing of Spontaneous Japanese Speech and Its Evaluation Reviewed

Tomohiro Ohno, Shigeki Matsubara, Nobuo Kawaguchi, and Yasuyoshi Inagaki

Proceedings of 8th International Conference on Spoken Language Processing page： Online 2004.10

Stochastically Evaluating the Validity of Partial Parse Trees in Incremental Parsing Reviewed

Yoshihide Kato, Shigeki Matsubara and Yasuyoshi Inagaki

Proceedings of ACL-2004 Workshop on Incremental Parsing: Bringing Engineering and Cognition Together page： 18-25 2004.7

Incremental Japanese Spoken Language Generation in Simultaneous Machine Interpretation Reviewed

Koichiro Ryu, Atsushi Mizuno, Shigeki Matsubara, Yasuyoshi Inagaki

Proceedings of Asian Symposium on Natural Language Processing to Overcome language Barriers page： 91-95 2004.3

In-Car Spoken Dialogue Corpus and Its Application Reviewed

Nobuo Kawaguchi, Shigeki Matsubara, Hiroya Murao, Itsuki Kishida, Yuki Irie, Yukiko Yamaguchi, Kazuya Takeda and Fumitada Itakura

Proceedings of Special Workshop in Maui Lectures by Masters in Speech Processing page： - 2004.1

同時通訳を介した異言語間対話の時間的特徴--逐次通訳との比較に基づく対訳コーパスの分析 Reviewed

大原誠，松原茂樹，笠浩一朗，河口信夫，稲垣康善

通訳研究（日本通訳学会誌） ( 3 ) page： 34-52 2003.12

Bilingual Speech Dialogue Corpus for Simultaneous Machine Interpretation Research Reviewed

Koichiro Ryu, Shigeki Matsubara, Nobuo Kawaguchi and Yasuyoshi Inagaki

Proceedings of Oriental COCOSDA-2003 page： 217-224 2003.11

An Advanced Japanese Speech Corpus for In-car Spoken Dialogue Research Reviewed

Yuki Irie, Nobuo Kawaguchi, Shigeki Matsubara, Itsuki Kishida, Yukiko Yamaguchi, Kazuya Takeda, Fumitada Itakura and Yasuyoshi Inagaki

Proceedings of Oriental COCOSDA-2003 page： 209-216 2003.11

Spiral Construction of Syntactically Annotated Spoken Language Corpus Reviewed

Tomohiro Ohno, Shigeki Matsubara, Nobuo Kawaguchi, and Yasuyoshi Inagaki

Proceedings of IEEE International Conference on Natural Language Processing and Knowledge Engineering page： 477-483 2003.10

Automatic Extraction of Translation Patterns from Bilingual Legal Corpus Reviewed

Makoto Ohara, Shigeki Matsubara, and Yasuyoshi Inagaki

Proceedings of IEEE International Conference on Natural Language Processing and Knowledge Engineering page： 150-157 2003.10

An Advanced Japanese Speech Corpus for In-car Spoken Dialogue Research Reviewed

Yuki Irie, Nobuo Kawaguchi, Shigeki Matsubara, Itsuki Kishida, Yukiko Yamaguchi, Kazuya Takeda, Fumitada Itakura, and Yasuyoshi Inagaki

Proceedings of 8th European Conference on Speech Communication and Technology Vol. Online 2003.9

Example-based Spoken Dialogue System using WOZ System Log Reviewed

Hiroya Murao, Nobuo Kawaguchi, Shigeki Matsubara, Yukiko Yamaguchi, and Yasuyoshi Inagaki

Proceedings of 4th ACL SIGDIAL Workshop on Discourse and Dialogue page： 140-148 2003.6

Construction and Analysis of the Multi-Layered In-car Spoken Dialogue Corpus Reviewed

Itsuki Kishida, Yuki Irie, Yukiko Yamaguchi, Shigeki Matsubara, Nobuo Kawaguchi, and Yasuyoshi Inagaki

Proceedings of Workshop on DSP in Mobile and Vehicular Systems Vol. Online 2003.4

主辞情報付き文脈自由文法に基づく漸進的な依存構造解析 Reviewed

加藤芳秀, 松原茂樹, 外山勝彦, 稲垣康善

電子情報通信学会論文誌 Vol. J86-D-II ( 1 ) page： 84-97 2003.1

確率文脈自由文法に基づく漸進的構文解析 Reviewed

加藤芳秀, 松原茂樹, 外山勝彦, 稲垣康善

電気学会論文誌 Vol. C ( 12 ) page： 2109-2119 2002.12

Example-based Speech Intention Understanding and Its Application to In-Car Spoken Dialogue System Reviewed

Shigeki Matsubara,Shinichi Kimura, Nobuo Kawaguchi, Yukiko Yamaguchi and Yasuyoshi Inagaki

Proceedings of the 17th International Conference on Computational Linguistics Vol. 2 page： 633-639 2002.8

Stochastic Dependency Parsing of Spontaneous Japanese Spoken Language Reviewed

Shigeki Matsubara,Takahisa Murase, Nobuo Kawaguchi, and Yasuyoshi Inagaki

Proceedings of 17th International Conference on Computational Linguistics (COLING-2002) Vol. 1 page： 640-645 2002.8

An Example-based Approach to Speech Intention Understanding Reviewed

Shinichi Kimura, Shigeki Matsubara, Nobuo Kawaguchi, Yukiko Yamaguchi and Yasuyoshi Inagaki

Proceedings of The 6th World Multiconference on Systemics, Cybernetics and Informatics Vol. IX page： 348-353 2002.7

Design and Development Tool for Telephone-based Network Information System Reviewed

Yukiko Yamaguchi, Kazuaki Ito, Nobuo Kawaguchi, Shigeki Matsubara,and Yasuyoshi Inagaki

Proceedings of the 6th World Multiconference on Systemics, Cybernetics and Informatics ( III ) page： 285-290 2002.7

音声対話コーパスの収集と利用 -より豊かな車内音声対話システムを目指して- Reviewed

松原茂樹，河口信夫，外山勝彦，武田一哉

人工知能学会誌 Vol. 17 ( 3 ) page： 279-284 2002.5

Bilingual Spoken Language Corpus for Simultaneous Machine Interpretation Research Reviewed

Shigeki Matsubara,Akira Takagi, Nobuo Kawaguchi,and Yasuyoshi Inagaki

Proceedings of 3rd International Language Resources and Evaluation Conference page： 153-159 2002.5

Multi-Dimensional Data Acquisition for Integrated Acoustic Information Research Reviewed

Nobuo Kawaguchi, Shigeki Matsubara, Kazuya Takeda, Fumitada Itakura

Proceedings of 3rd International Language Resources and Evaluation Conference page： 2043-2046 2002.5

CIAIR speech corpus for real world speech recognition Reviewed

Nobuo Kawaguchi, Kazuya Takeda, Shigeki Matsubara, Ikuya Yokoo, Taisuke Ito, Kiyoshi Tatara, Tetsuya Shinde and Fumitada Itakura

Proceedings of 5th Symposium on Natural Language Processing & Oriental COCOSDA Workshop page： 288-295 2002

A Corpus-based Analysis of Simultaneous Interpretation Reviewed

Akira Takagi, Shigeki Matsubara, Shigeki Matsubara, Yasuyoshi Inagaki

Proceedings of 5th Symposium on Natural Language Processing & Oriental COCOSDA Worskshop page： 167-174 2002

Example-based Query Generation for Spontaneous Speech Reviewed

Hiroya Murao, Nobuo Kawaguchi, Shigeki Matsubara and Yasuyoshi Inagaki

Proceedings of IEEE Workshop on Automatic Speech Recognition and nderstanding ( 2001 ) 2001.12

同時通訳コーパスの設計と構築 Reviewed

松原茂樹，相澤靖之，河口信夫，外山勝彦，稲垣康善

通訳研究（日本通訳学会誌） ( 1 ) page： 85-102 2001.12

Incremental CFG Parsing with Statistical Lexical Dependencies Reviewed

Takahisa Murase, Shigeki Matsubara,Yoshihide Kato and Yasuyoshi Inagaki

Proceedings of Natural Language Processing Pacific Rim Symposium Vol. 6 page： 351-358 2001.10

Construction of Speech Corpus in Moving Car Environment Reviewed

Nobuo Kawaguchi,Shigeki Matsubara,Kazuya Takeda and Fumitada Itakura

Proceedings of European Conference on Speech Communication and Technology Vol. 7 2001.9

Interactive Incremental Parsing and Its Application to Multilingual Chat Assistant System Reviewed

Daisuke Mori, Shigeki Matsubara and Yasuyoshi Inagaki

Proceedings of ACIS International Conference on Software Engineering, Artificial Interlligence, Networking and Parallel Distributed Computing Vol. 2 2001.8

走行車室内音声対話収録システムの開発 Reviewed

河口信夫，牛窪誠一，松原茂樹，梶田将司，武田一哉，板倉文忠

電子情報通信学会論文誌 Vol. J84-D-II ( 6 ) page： 1122-1129 2001.6

Efficient Incremental Dependency Parsing Reviewed

Yoshihide Kato, Shigeki Matsubara,Katsuhiko Toyama and Yasuyoshi Inagaki

Proceedings of International Workshop on Parsing Technology Vol. 6 2001

Incremental Parsing for Interactive Natural Language Interface Reviewed

Daisuke Mori, Shigeki Matsubara, Yasuyoshi Inagaki

Proceedings of IEEE International Conference on System, Man and Cybernetics ( 2001 ) page： 2880-2885 2001

Spoken Language Parsing based on Incremental Disambiguation Reviewed

Yoshihide Kato, Shigeki Matsubara, Katsuhiko Toyama, Yasuyoshi Inagaki

Proceedings of International Conference on Spoken Language Processing Vol. 6 ( 2 ) page： 999-1002 2000.10

Spoken Language Corpus for Machine Interpretation Research Reviewed

Yasuyuki Aizawa, Shigeki Matsubara, Nobuo Kawaguchi, Katsuhiko Toyama, Yasuyoshi Inagaki

Proceedings of International Conference on Spoken Language Processing Vol. 6 page： 398-401 2000.10

Construction of Speech Corpus in Moving Car Environment Reviewed

Nobuo Kawaguchi, Shigeki Matsubara, Hiroyuki Iwa, Shoji Kajita, Kazuya Takeda, Fumitada Itakura and Yasuyoshi Inagaki

Proceedings of International Conference on Spoken Language Processing Vol. 6 ( 3 ) page： 362-365 2000.9

Simultaneous Japanese-English Interpretation based on Early Prediction of English Verbs Reviewed

Shigeki Matsubara, Keiichi Iwashima, Nobuo Kawaguchi, Katsuhiko Toyama, Yasuyoshi Inagaki

Proceedings of Symposium on Natural Language Processing Vol. 4 page： 268-273 2000.5

Sync/Trans: Simultaneous Machine Interpretation between English and Japanese Reviewed

Shigeki Matsubara, Katsuhiko Toyama, Yasuyoshi Inagaki

Norman Foo (Ed.): Advanced Topics in Artificial Intelligence, Lecture Note in Artificial Intelligence Vol. 1747 page： 134-143 1999.12

Spoken Language Parsing with Robustness and Incrementality Reviewed

Yoshihide Kato, Shigeki Matsubara, Katsuhiko Toyama, Yasuyoshi Inagaki

Proceedings of Natural Languauge Processing Pacific Rim Symposium Vol. 5 page： 132-137 1999.10

Incremental Spoken Langauge Translation based on A Normal-Form Conversion of CFG, Reviewed

Shigeki Matsubara, Hiroshi Ogawa, Katsuhiko Toyama, Yasuyoshi Inagaki

Proceedings of Natural Languauge Processing Pacific Rim Symposium Vol. 5 page： 515-518 1999.10

An Open Architechture for Mutimodal Multidomain System Reviewed

Nobuo Kawaguchi, Shigeki Matsubara, Katsuhiko Toyama and Yasuyoshi Inagaki

Proceedings of Natural Languauge Processing Pacific Rim Symposium Vol. 5 page： 463-466 1999

An Architecture for Multi-Domain Spoken Dialog Systems Reviewed

Nobuo Kawaguchi, Shigeki Matsubara, Katsuhiko Toyama and Yasuyoshi Inagaki

Proceedings of International Conference on Information, Communication and Signal Processing Vol. 2 1999

Incremental English-Japanese Spoken Language Translation Utilizing Ill-formed Expressions Reviewed

IEE Transaction Vol. 118-C ( 1 ) page： 71-78 1998

Chart-based Parsing and Transfer in Incremental Spoken Language Translation System Reviewed

Shigeki Matsubara, Satoru Asai, Katsuhiko Toyama, Yasuyoshi Inagaki

Proceedings of Fourth Natural Language Processing Pacific Rim Symposium page： 521-524 1997.12

An Interactive Multimodal Drawing System based on Incremental Interpretation Reviewed

Shigeki Matsubara, Hiroyuki Yamamoto, Nobuo Kawaguchi, Yasuyoshi Inagaki, and KatsuhikoToyama

Proceedings of the 15th International Joint Conference on Artificial Intelligence Workshop on Intelligent Multimodal Systems page： 55-62 1997.8

Incremental Spoken Language Translation Utilizing Grammatically Ill-formed Expressions, Reviewed

Shigeki Matsubara, Satoru Asai, Yasuyoshi Inagaki, Katsuhiko Toyama

Proceedings of The Third Conference of Pacific Association for Computational Linguistics page： 188-194 1997.7

Utilizing Extra-Grammatical Phenomena in Incremental English-Japanese Machine Translation Reviewed

Shigeki Matsubara, Yasuyoshi Inagaki

Proceedings of Seventh International Conference on Theoretical and Methodological Issues in Machine Translation page： 31-38 1997.7

A Multi-Modal Interaction System based on Incremental Interpretation of Natural Language Reviewed

Shigeki Matsubara, Nobuo Kawaguchi, Hiroyuki Ymamoto, and Yasuyoshi Inagaki

Proceedings of Eighth International Annual Energy Week Conference & Exhibition Vol. 5 page： 133-140 1997.1

Incremental Transfer in English-Japanese Machine Translation

Shigeki Matsubara, Yasuyoshi Inagaki

IEICE Transactions on Information and Systems Vol. E80-D ( 11 ) page： 1122-1129 1997

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