Rchr
J-GLOBAL ID：200901096803305760
Update date: Oct. 31, 2024
Mochizuki Hajime
Mochizuki Hajime
Research field (3)：
Learning support systems
, Educational technology
, Intelligent informatics
Research theme for competitive and other funds (14)：
- 2024 - 2029 大規模字幕コーパスによるコミュニケーション能力重視のテーラーメイド言語教材開発
- 2021 - 2025 Construction and applied research of the database of high-quality Japanese example sentences available for the development of dictionary websites and applications
- 2020 - 2025 Inductive re-construction of Japanese grammar and its application to Japanese language education based on the large scale extraction of Japanese formulaic sequences and its structural analyses
- 2019 - 2023 大規模字幕コーパスからの単語・フレーズ・会話のボトムアップ言語教材自動抽出
- 2016 - 2021 An areal typological phonology of rara: Khoisan phonology
- 2016 - 2020 Research on e-learning materials corresponding to can-do lists using a large subtitle corpus
- 2015 - 2019 Development of CEFR Can-do Language Learning Materials by FS2vec Processing of Large-scale Spoken Language Corpus
- 2014 - 2018 Tailormade Japanese language education and advancing learning mining based on a large conversation corpus
- 2008 - 2012 Interaction between auditory phonetics and phonology
- 2003 - 2006 語感の認知モデルとコミュニケーションに与える影響に関する研究
- 2000 - 2002 Automatic Text Summarization Using Robust Natural Language Processing Technologies
- 2000 - 2001 Research on analysis and understanding of natural language action commands
- 2000 - 2001 テキスト情報のビジュアルな提示に関する研究
- 1998 - 1999 Automatic Text Summarization-with Large Thesauri
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Papers (58)：
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Extraction of Linguistic Data from Japanese Closed Caption TV Data and Analysis of Features. 2023. 106. 75-94
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Hajime Mochizuki. Mining Formulaic Sequences from a Spoken Japanese Based on Consolidated Contextualized N-gram Analyses and Its Verification with Key Phrases in Japanese Language Textbooks. ED-MEDIA: World Conference on Educational Multimedia, Hypermedia & Telecommunications, EdMedia: World Conference on Educational Media & Technology. 2022. 1. 2022. 909-916
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Hajime Mochizuki, Kohji Shibano. Incorporating a State-of-the-Art Speech Recognition to a Japanese Language e-Learning System. World conference on E-Learning, E-Learn 2019. 2019
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Hajime Mochizuki, Kohji Shibano. Incorporating a State-of-the-Art Speech Recognition to a Japanese Language e-Learning System. World conference on E-Learning, E-Learn 2019. 2019
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Hajime Mochizuki, Kohji Shibano. Incorporating a State-of-the-Art Speech Recognition to a Japanese Language e-Learning System. World conference on E-Learning, E-Learn 2019. 2019. 1157-1162
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Lectures and oral presentations (17)：
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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)
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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)
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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)
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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)
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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 2017)
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Education (1)：
- - 1999 Japan Advanced Institute of Science and Technology Graduate School, Division of Information Science
Work history (1)：
- 2009/04 - 現在 Tokyo University of Foreign Studies Institute of Global Studies Associate Professor
Committee career (6)：
Awards (4)：
- 2016/08 - International Association of Computer Science & Information Technology (IACSIT) The Best Presentation Award in ICACTE 2016 Straightforward Expansion of word2vec by Formulaic Sequences in CCTV corpus
- 2003/03 - 言語処理学会 言語処理学会第9回年次大会,優秀発表賞
- 1999/09 - 社団法人 情報処理学会 情報処理学会第59回全国大会,大会優秀賞
- 1995/09 - 社団法人 情報処理学会 情報処理学会第51回全国大会,大会奨励賞
Association Membership(s) (4)：
the Association for the Advancement of Computing in Education (AACE)
, 教育システム情報学会
, 言語処理学会
, 情報処理学会
