Web MOCHI 

発表論文/publications

学術論文・国際会議

• 望月 源
  「日本文化学習教材としての日本アニメへの自動注釈のための生成AIの評価」， 東京外国語大学論集, 112号, 61-79頁, 2026.
• MOCHIZUKI, H.,
  "An Attempt to Use Generative AI to Add Culturally Japanese Annotations to Japanese Anime", EdMedia + Innovate Learning 2025, pp.311-320, 2025.
• MOCHIZUKI, H.,
  "Analyzing the Difficulty of Television Closed Caption Sentences as Language Education Materials Using a Machine Learning-Based Model", E-Learn: World Conference on EdTech 2024, pp.18-27, 2024.
• 望月 源
  「日本語テレビ字幕放送データからの言語データ抽出と特徴の分析」，東京外国語大学論集, 106号, 85-104頁, 2023.07.
• MOCHIZUKI,H. and SHIBANO,K.,
  "Mining Formulaic Sequences from a Spoken Japanese Based on Consolidated Contextualized N-gram Analyses and Its Verification with Key Phrases in Japanese Language Textbooks"， World Conference On Educational Media and Technology + INNOVATE LEARNING, pp.909-916，USA, 2022.
• MOCHIZUKI,H. and SHIBANO,K.
  "Incorporating a State-of-the-Art Speech Recognition to a Japanese Language e-Learning System", World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education, E-Learn 2019, pp. 1157-1162, USA, 2019.
• MOCHIZUKI, H. and Shibano, K.,
  "Analyzing Usefulness of Dialogues from Closed Caption TV Corpus as an Example of Can-do Statements for Language Learning", 2018 Hawaii University Conference, Arts, Humanities, Social Sciences & Education (AHSE), 11 pages, USA, January 2018.
• MOCHIZUKI, H. and Shibano, K.,
  "Searching Discourse Segments for Formulaic Sequences in a Closed Caption TV Corpus for Language Learning", World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education 2017 (E-Learn 2017), pp.19-27, Canada, Oct 2017.
• MOCHIZUKI, H.,
  "Augmented Reality Applications for Multilingual Learning with Intuitive Understanding", World Conference on Educational Media and Technology (EDMEDIA) 2017, pp.1205-1213, USA, June 2017.
• MOCHIZUKI, H. and Shibano, K.,
  "Extracting Formulaic Sequences Containing Useful Expressions for Language Learning from Closed Caption TV Corpus", World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education, E-Learn 2016, USA, pp.29-37, November 2016.
• MOCHIZUKI, H.,
  "Development of AR Materials for Understanding Roles of Japanese Particles", 2016 Hawaii University Conferences, STEAM Education Conference, USA, 6 pages, June 2016.
• MOCHIZUKI, H. and Shibano, K.,
  "Analyzing Attractiveness of Specific Location Names of Tourist Destination from a Closed Caption TV Corpus", 2016 Hawaii University Conferences, Arts, Humanities, Social Sciences & Education (AHSE), USA, 12 pages, January 2016.
• MOCHIZUKI, H. and Shibano, K.,
  "Detecting Topics Popular in the Recent Past from a Closed Caption TV Corpus as a Categorized Chronicle data", the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (KMIS), pp.342-349, Portugal, November 2015.
• Mochizuki, H.,
  "Development of Sample Code Stocks for AR Applications in Language Learning", the 6th International Conference on Education and Management Technology-ICEMT2015, 6 pages, Hong Kong, August 2015.
• MOCHIZUKI, H. and Shibano, K.,
  "Development of a Closed Caption TV Corpus Retrieval System to Seek Video Scenes Containing Useful Expressions for Language Learning", Proceedings of World Conference on Educational Media and Technology (EDMEDIA) 2015, pp.1760-1768, Canada, June 2015.
• MOCHIZUKI,H. and SHIBANO,K.,
  "Re-Mining Topics Popular in the Recent Past from a Large-Scale Closed Caption TV Corpus", International Joural of Future Computer and Communication, Vol. 4, No. 2, pp. 98-103, International Association of Computer Science and Information Technology Press (IACSIT), 2015.
• MOCHIZUKI, H. and Shibano, K.,
  "Re-Mining Topics Popular in the Recent Past from a Large-Scale Closed Caption TV Corpus", 5th International Conference on Networking and Information Technology (ICNIT 2014), 6 pages, 2014-11-21~23, Singapore, full paper, November 2014.
• MOCHIZUKI, H. and Shibano, K.,
  "Building Very Large Corpus Containing Useful Rich Materials for Language Learning from Closed Caption TV", World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education, Volume 2014, No. 1, pp. 1381-1389, Association for the Advancement of Computing in Education (AACE), 2014-10-27~30, USA, full paper, October 2014.
• MOCHIZUKI, H.
  "The Effectiveness of Slight Modification to Supplement Programs in the Development of AR Applications", World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education, Volume 2014, No. 1, pp. 1390-1396, Association for the Advancement of Computing in Education (AACE), 2014-10-27~30, USA, full paper, October 2014.
• MOCHIZUKI,H., NAKAMURA, K, and SHIBANO,K.,
  "Indonesian Shallow Stemmer for Text Reading Support System", Lecture Notes in Electrical Engineering vol. 157: Recent Progress in Data Engineering and Internet Technology, vol.2, pp.244-255. Ford Lumban Goal Ed., Springer, 2012.
• MOCHIZUKI, H.,
  ``Large-Scale Information Education Using an e-Learning Environment in the Classroom'', Proceedings of E-Learn 2011, pp.1535-1542, 2011.10.
• MOCHIZUKI, H.,
  ``Comparison of Interfaces for Text Reading Support System'', Proceedings of the 17th World Congress on Ergonomics IEA2009,　7 pages in CD-ROM, 2009
• MOCHIZUKI, H.,
  ``Organizing Large Scale Information Education Classes by Assumption of the CMS use'', Proceedings of the World Conference on Educational Multimedia, Hypermedia and Telecomunications, ED-MEDIA 2009 Conference, 5 pages in CD-ROM, poster, 2009.6
• 望月源，大和加寿子，前嶋淳子，林俊成
  「書誌情報データベースにおける非ローマンアルファベット系言語の 原綴り・翻字相互変換システム」, 情報処理学会論文誌：データベース,Vol.46 No.SIG 18(TOD28), pp.50-58, 2005.12.
• 望月源, 神谷泰弘, 奥村学,島津明,
  「英語ディクテーション学習支援システムの構築」, 教育システム情報学会, Vol.19, No.13, pp.145-153,2002.7.
• 望月源, 奥村学,
  「語彙的連鎖に基づく要約の情報検索タスクを用いた評価」， 自然言語処理，vol.7, No.4, pp.63-77, 2000.10.
• OKUMURA, M. and MOCHIZUKI,H.,
  ``Query-biased Summarization Based on Lexical Chaining'', Computational Intelligence, Vol.16, No.4, pp.578-585, 2000. 11.
• MOCHIZUKI, H. and OKUMURA, M.,
  ``A Comparison of Summarization Methods Based on Task-Based Evaluation'', LREC2000,pp.633-639, 2000.6.
• MOCHIZUKI, H., IWAYAMA, M. and OKUMURA, M.,
  ``Passage-Level Document Retrieval Using Lexical Chains'', RIAO 2000,pp.491-506, 2000.4.
• OKUMURA, M., MOCHIZUKI, H., and NANBA, H.,
  `Query-biased Summarization Based on Lexical Chaining'', Proc. of PACliNG'99, pp.324-334, 1999.8.
• 望月源,岩山真,奥村学,
  「語彙的連鎖に基づくパッセージ検索」, 自然言語処理，vol.6, No.3, pp.101-126, 1999.4.
• MOCHIZUKI, H., HONDA,T., and OKUMURA, M.,
  ``Text Segmentation with Multiple Surface Linguistic Cues'', COliNG-ACL'98, pp.881-885, 1998.8.
• 望月源,本田岳夫,奥村学,
  「複数の表層的手がかりを統合したテキストセグメンテーション」 自然言語処理，vol.6, No.3, pp.43-58, 1999.4.
• 「語彙的連鎖を用いたパッセージ抽出とその応用に関する研究」， 北陸先端科学技術大学院大学，情報科学研究科博士論文，1999.3.
• 「表層的特徴と語彙的結束性を考慮した文章構造に関する基礎的研究」, 北陸先端科学技術大学院大学，情報科学研究科修士論文，1996.3.

口頭発表(国際会議)

口頭発表(国際会議)

• MOCHIZUKI, H.,
  What Words Do We See on TV? Exploring Language Exposure through TV Viewing Patterns, 2026 STEM/STEAM & Education Conference, Hawaii, USA, June 2026.
• MOCHIZUKI, H.,
  Refining a Closed Caption Corpus of Japanese TV Programs for Language Learning via Alignment with AI-Generated Transcriptions, The 24th Annual Conference of Hawaii International Conference on Education, Hawaii, USA, January 2026.
• MOCHIZUKI, H.,
  A Study on Enhancing Programming Language Education Using ChatGPT, 2025 STEM/STEAM & Education Conference, Hawaii, USA, June 2025.
• MOCHIZUKI, H.,
  Estimating the Difficulty of Japanese Television Programs Based on Japanese Language Proficiency Test Levels, The 23rd Annual Conference of Hawaii International Conference on Education, Hawaii, USA, January 2025.
• MOCHIZUKI, H.,
  What is the Difficulty Level of Television Viewing Based on the Level of Language Proficiency Test?, 2024 STEM/STEAM and Education Conference, Hawaii, USA, June 2024.
• MOCHIZUKI, H. and Shibano, K.,
  Extracting Japanese Sentence-Ending Expressions using Formulaic Sequences with Consolidated Contextualized N-gram Analysis, The 21st Annual Conference of Hawaii International Conference on Education, Hawaii, USA, 2023.
• MOCHIZUKI, H.,
  Real Word Statistics and End of Sentence Expressions in Japanese Closed Caption TV Corpus, 9th International Conference on Language, Literature and Linguistics (LLL2022), 2022.
• MOCHIZUKI, H. and Shibano, K.,
  Investigation of Formulaic Sequences at The End of Sentences in Japanese Closed Caption TV Corpus, 2022 STEM/STEAM & Education Conference, Hawaii, USA, June 2022.
• MOCHIZUKI, H.,
  Investigation of Words in a Japanese Closed Caption TV Corpus, 2019 STEM/STEAM Education Conference, Hawaii, USA, June 2019.
• MOCHIZUKI, H.,
  Building a Very Large Spoken Language Corpus from Closed Caption TV and Extracting Practical Formulaic Sequences for Language Learning, The 10th International Conference on Advanced Computer Theory and Engineering, 2017.
• MOCHIZUKI, H. and Shibano, K.,
  The Acquisition of a Japanese Practical Formulaic Sequences List from a Closed Caption TV Corpus, 2017 STEM & STEAM Education Conference, Hawaii, USA, June 2017.
• MOCHIZUKI, H. and Shibano, K.,
  Discourse Segment Clustering with Word Embedding based on Formulaic Sequences for Language Education, 2017 International Conference on Education and Multimedia Technology (ICEMT 2017), Singapore, 2017.
• MOCHIZUKI, H.,
  Simplified AR Language Learning Environment using 3D Letter String Objects, International Conference on Virtual and Augmented Reality Simulations (ICVARS 2017), Australia, February 2017.
• MOCHIZUKI, H. and Shibano, K.,
  Modification of word2vec by Formulaic Sequences and Extraction of Useful Expressions for Language Learning from Closed Caption TV Corpus, The IAFOR International Conference on Language Learning, Hawaii, USA, January 2017.
• MOCHIZUKI, H.,
  "Development of a Closed Caption TV Corpus Retrieval System for Language Learning", 8th International Conference on Education Technology and Computers (ICETC 2016), September 2016.
• MOCHIZUKI, H.,
  "Straightforward Expansion of word2vec by Formulaic Sequences in CCTV corpus", Nineth International Conference on Advanced Computer Theory and Engineering, Hong Kong, August 2016.
• MOCHIZUKI, H.,
  "Japanese Language Learning System for Understanding a Sentence that has Correct Syntax but has Semantic Errors", 2016 the 2nd International Conference on Information Technology (ICIT 2016), Melbourne, Australia, 3-4 March 2016.
• Mochizuki, H. and Abe, K.,
  "Building an event log management system to acquire users' operation behavior on a large number of client PCs", the 2nd International conference on Networks and Information Security (ICNIS), Singapore, October 2015.
• MOCHIZUKI, H., NAKAMURA Y. and SHIBANO K.,
  ``Indonesian Shallow Stemmer for Text Reading Support System'', Proceeding of The 2011 First IRAST International Conference on Data Engineering and Internet Technology, pp 1102-1107, 2011.3.
• TONO Y., MOCHIZUKI, H.,
  Toward automatic error identification of learner corpora: A DP matching approach, Corpus Linguistics Conference 2009, 2009
• MOCHIZUKI, H. and TERA A.,
  ``Constructing Web-based Japanese Text Reading Support System and Its Evaluation'', International Conference on Computers in Education ICCE2002, 2002.12.




口頭発表(国内会議)

• 大河原龍太朗, 望月源
  「BERTを用いたアニメーション字幕における談話境界推定」， 教育システム情報学会第29回全国大会，D4-1，pp.275-276, August 2023.
• 大河原龍太朗, 望月源
  「Can-do型日本語学習用資源としてのアニメーション字幕の分析」， 言語処理学会第28回年次大会，静岡大学， PH4-16, pp.1690-1694, March 2022.
• イーフエイチー，望月源
  「テレビ字幕データを用いた感情分析による「ある日の日本の気分」推定に関する研究」, 言語処理学会第28回年次大会，静岡大学， PT1-14, pp.857-862, March 2022.
• 内田美友，望月源
  「スタイルの違いに注目した脚本から小説への変換に関する一考察」， 言語処理学会第28回年次大会，静岡大学， PH2-9, pp.921-926, March 2022.
• 王楽淑，望月源, and 鈴木美加
  「中国語母語話者の日本語学習における L1L2字幕利用の考察」， 言語処理学会第26回年次大会，茨城大学，P6-10, pp.1352-1355, March 2020.
• 井上音々 and 望月源,
  「日本語歌謡曲のオノマトペに関する調査」, 言語処理学会第23回年次大会, 筑波大学，予稿集P16-3, pp. 963-966, March 2017.
• 箭内初音 and 望月源，
  「マレー語4行詩パントンの分析と作成支援システム」， 言語処理学会第23回年次大会，筑波大学，予稿集 P19-1, pp. 1038-1041, March 2017.
• 望月源，木賀もも子
  「スペイン語の生活密着型メッセージ作成」， 言語処理学会第12回年次大会,...,2006.3.
• 望月源，大和加寿子，前嶋淳子，林俊成
  「非ローマンアルファベット系言語の原綴り・翻字相互変換システムの構築」, 情報処理学会 情報学基礎研究会報告,FI-79, pp.1-8, 2005.5. (データベース研究会と合同 DBS-136)
• 望月源，中嶋一樹，
  「インターネットにおける日本語慣用表現を中心とした誤用の調査」, 言語処理学会第11回年次大会,P6-12,2005.3.
• 望月源，高野寛大，
  「ハングルテキストへの自動音素情報付与と学習システムへの応用」, 言語処理学会第11回年次大会,P1-9,2005.3.
• 望月源，林俊成，佐野洋，
  「講義・演習複合型情報リテラシーとeラーニングシステム」， 教育システム情報学会第29回全国大会,C3-5,2004.8.
• 吉田桃子, 望月源，
  「日本語流行歌中の外来語に関する調査」, 言語処理学会第9回年次大会,P4-10,2003.3.
• 望月源，寺朱美
  「日本語テキスト読解支援システムDL-MTの構築とその評価」， 教育システム情報学会第27回全国大会,P1-3,2002.8.
• 寺朱美，望月源，島津明
  「日本語学習者が読解の際に情報を必要とする語句の分析」， 教育システム情報学会第27回全国大会, D1-4, 2002.8.
• 望月源，寺朱美
  「DL-MT:文章中の情報を多面的に提示して読解を支援する」, 日本語教育方法研究会，2001.09.
• 望月源，岩波 昭宏，奥村学，島津明
  「法律条文のハイパーテキスト化」,(psfile,gzip,82548), 情報処理学会第61回全国大会，5U-01，pp.183-184, 2000.10.
• 望月源，奥村学
  「読みやすさの向上と冗長性の排除を考慮した重要個所抽出型要約」, (psfile,gzip,107236), 情報処理学会 自然言語処理研究会報告，NL139-3, pp.17-24, 2000.9.
• 神谷泰弘，望月源，奥村学，島津明
  「ディクテーション方式英語学習支援システムの開発」， 言語処理学会第6回年次大会発表論文集 pp.125-128.2000.3.
• 奥村学,原口良胤,望月源
  「決定木学習を用いたテキスト自動要約に関するいくつかの考察」， (psfile,gzip,31KB)， 情報処理学会第59回全国大会講演論文集，第2分冊， 5N-2,pp.393-394,1999.9.
• 望月源, 奥村学,
  「情報検索タスクに基づいた評価による要約手法の比較」， (psfile,gzip,111057)， 情報処理学会 自然言語処理研究会報告 (電子情報通信学会 言語理解とコミュニケーション研究会と合同), 132-6,(NLC99-11), pp. 41-48, 1999.7.
• 望月源,岩山真,奥村学,
  「語彙的連鎖に基づくパッセージ検索」, 情報処理学会 自然言語処理研究会報告(情報学基礎研究会 FIと合同), 127-6 (FI-51-6), pp.39-46, 1998.9.
• 望月源,岩山真,奥村学,
  「抄録を利用した検索」, 言語処理学会第4回年次大会併設ワークショップ 「テキスト要約の現状と将来」,pp.22-29, 1998.3.
• 望月源,本田岳夫,奥村学,
  「語彙的連鎖を利用した文書検索」, 情報処理学会 自然言語処理研究会報告117-19, pp.137-144, 1997.1.
• 本田岳夫,望月源,Bao.,H.T., 奥村学,
  「決定木獲得アルゴリズムを用いたテキストセグメンテーション」, 言語処理学会第2回年次大会発表論文集, pp.329-332, 1996.3.
• 望月源,本田岳夫,奥村学,
  「重回帰分析とクラスタ分析を用いたテキストセグメンテーション」, 言語処理学会第2回年次大会発表論文集, pp.325-328, 1996.3.
• 望月源,本田岳夫,奥村学,
  「語彙的結束性に基づいた語義曖昧性解消の観点から見たシソーラスの比較」, 情報処理学会 第51回全国大会講演論文集第3分冊, 3H-2, pp.37-38,1995.9.
• 望月源,本田岳夫,奥村学,
  「複数の知識の組合せを用いたテキストセグメンテーション」, 情報処理学会 自然言語処理研究会報告109-7,pp.47-54, 1995.9.