»ホーム甲南大学知能情報学部言語処理研究室
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発表論文


査読付き論文


  • 永田亮,河合綾子,須田幸次,掛川淳一,森広浩一郎:“作文履歴をトレース可能な子供コーパスの構築”,自然言語処理,Vol.17,No.2,pp.51-65,Apr. 2010.
  • Nagata, R.,Kakegawa, and Yabuta Y.: “A Topic-independent Method for Scoring Student Essay Content,” IEICE Transactions on Information and Systems, Vol.E93-D, No.2, pp.335-340, Feb. 2010.
  • 掛川淳一,永田亮,森田千寿,須田幸次,森広浩一郎:“自由記述メッセージからの学習者の特徴表現抽出”,電子情報通信学会論文誌,Vol.J91-D, No.12, pp.2939-2949, Dec. 2008.
  • Nagata, R.,Kakegawa, J., Sugimoto H., and Yabuta Y.: “A Method for Recognizing Noisy Romanized Japanese Words in Learner English,” IEICE Transactions on Information and Systems, Vol.E91-D, No.10, pp.2458-2466, Oct. 2008.
  • 永田亮,須田幸次,掛川淳一,森広浩一郎,正司和彦:“小学生を対象としたメッセージ推敲のための適応型キーワード提示システム”,電子情報通信学会論文誌,Vol.J91-D, No.2, pp.200-209, Feb. 2008.
  • Nagata, R.,Kawai, A.,Morihiro, K.,and Isu, N.: “A Method for Reinforcing Noun Countability Prediction,” IEICE Transactions on Information and Systems, Vol.E90-D, No.12, pp.2077-2086, Dec. 2007.
  • 永田亮,掛川淳一,宮井俊也,淀雅昭,深田剛継,河合敦夫:“未知文書からの母語話者/非母語話者に特徴的な表現の抽出”,情報科学技術レターズ,pp.357-360, Sep. 2007.
  • 永田亮,若菜崇宏,河合敦夫,森広浩一郎,桝井文人,井須尚紀:“可算/不可算の判定に基づいた英文の誤り検出”,電子情報通信学会論文誌,Vol.J89-D,No.8, pp.1777-1790, Aug. 2006.
  • 永田亮,桝井文人,河合敦夫,井須尚紀:“英語名詞の可算/不可算判定手法”,自然言語処理,Vol.12,No.4,pp.227-243,Aug. 2005.
  • Nagata, R.,Iguchi, T.,Masui, F.,Kawai, A., and Isu, N.: “A statistical model based on the three head words for detecting article errors,” IEICE Transactions on Information and Systems, Vol.E88-D, No.7, pp.1700-1706, July 2005.
  • 永田亮,井口達也,脇寺健太,桝井文人,河合敦夫,井須尚紀:“前置詞情報を利用した冠詞誤り検出”, 電子情報通信学会論文誌,Vol.J88-D-I,No.4,pp.873-881, Apr. 2005.
  • 永田亮,井口達也,桝井文人,河合敦夫:“日本人英語学習者を対象とした英文難易度判定手法”, 電子情報通信学会論文誌, Vol.J87-D-II, No.6, pp.1329-1338, June 2004.
  • 永田亮,井口達也,脇寺健太,桝井文人,河合敦夫:“日本人英語学習者のための冠詞誤り検出”, 電子情報通信学会論文誌, Vol.J87-D-I, No.1, pp.60-68, Jan. 2004.
  • 永田亮,桝井文人,河合敦夫,椎野努:“英文読解力の自動評価手法 ― リーディングスピードを用いた英文読解力の詳細な評価 ―”, コンピュータ&エデュケーション, Vol.12, pp.99-103, May 2002.

国際学会論文


  • Nagata, R., Sato, T., and Takamura, H.: “Exploring the Influence of Spelling Errors on Lexical Variation Measure,” Proceedings of 27th International Conference on Computational Linguistics, pp.2391–2398, Aug. 2018.
  • Mizumoto, T. and Nagata, R.: “Analyzing the Impact of Spelling Errors on POS-Tagging and Chunking in Learner English,” Proceedings of 4th Workshop on Natural Language Processing Techniques for Educational Applications, pp.54–58, Dec. 2017.
  • Nagata, R., Takamura, H., and Neubig, G.: “Adaptive Spelling Error Correction Models for Learner English,” Procedia Computer Science, Vol.112, pp.474–483, Sep. 2017.
  • Takamura, H., Nagata, R., and Kawasaki, Y.: “Analyzing Semantic Changes in Japanese Loanwords,” Proceedings of 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers, pp.1194–1203, Apr. 2017.
  • Nagata, R. and Sakaguchi, K.: “Phrase Structure Annotation and Parsing for Learner English,” Proceedings of 54th Annual Meeting of the Association for Computational Linguistics, pp.1837–1847, Aug. 2016.
  • Takamura, H., Nagata , R., and Kawasaki Y.: “Discriminative Analysis of Linguistic Features for Typological Study,” Proceedings of 10th International Conference on Language Resources and Evaluation, pp. 69–76, May 2016.
  • Nagata, R.: “Language Family Relationship Preserved in Non-native English,” Proceedings of 25th International Conference on Computational Linguistic, pp. 1940–1949, Aug. 2014.
  • Nagata, R. and Whittaker, E.: “Correcting Preposition Errors in Learner English Using Error Case Frames and Feedback Messages,” Proceedings of 52nd Annual Meeting of the Association for Computational Linguistics, pp.754–764, June 2014.
  • Nagata, R. and Whittaker, E.: “Reconstructing an Indo-European Family Tree from Non-native English Texts,” Proceedings of 51st Annual Meeting of the Association for Computational Linguistics, pp.1371–1147, Aug. 2013.
  • Nagata, R. and Sheinman, V.: “A Method for Detecting Tense Errors in Learner English,” Proceedings of Advances in Knowledge-Based and Intelligent Information and Engineering Systems, pp.664-673, Sep. 2012.
  • Nagata, R. and Kawai, A.: “Exploiting Learners’ Tendencies for Detecting English Determiner Errors,” Lecture Notes in Artificial Intelligence, Springer-Verlag, pp.144-153, Sep. 2011.
  • Nagata, R., Marueki, T., Funakoshi, K., Kitamura, T., and Nakano M.: “A Method for Predicting Stressed Words in English Jazz Chants,” Proceedings of INTERSPEECH 2011 Satellite Workshop on Speech and Language Technology in Education, P2-3 (4 pages), Aug. 2011.
  • Nagata, R., Whittaker, E., and Sheinman, V.: “Creating a Manually Error-tagged and Shallow-parsed Learner Corpus,” Proceedings of 49th Annual Meeting of the Association for Computational Linguistics, pp.1210–1219, June 2011.
  • Funakoshi, K., Mizumoto, T., Nagata, R., and Nakano M.: “The Chanty Bear: Toward a Robot Teaching English to Children,” Proceedings of 6th ACM/IEEE International Conference on HUMAN-ROBOT INTERACTION 2011 Workshop: Robots with Children: Practices for Human-Robot Symbiosis, (3 pages), Mar. 2011.
  • Funakoshi, K., Mizumoto, T., Nagata, R., and Nakano M.: “The Chanty Bear: A New Application for HRI Research,” Proceedings of 6th ACM/IEEE International Conference on HUMAN-ROBOT INTERACTION 2011, pp.141-142, Mar. 2011.
  • Nagata, R., Mizumoto, T., Funakoshi, K., and Nakano M.: “Toward a Chanting Robot for Interactively Teaching English to Children,” Proceedings of INTERSPEECH 2010 Satellite Workshop on Second Language Studies: Acquisition, Learning, Education and Technology, P2-13 (4 pages), Sep. 2010.
  • Nagata, R. and Nakatani, K.: “Evaluating Performance of Grammatical Error Detection to Maximize Learning Effect,” Proceedings of the 23rd International Conference on Computational Linguistic, Poster Volume, pp.894-900, Aug. 2010.
  • Nagata, R., Kakegawa, J., and Yabuta, Y.: “A Topic-independent Method for Automatically Scoring Essay Content Rivaling Topic-dependent Methods,” Proceedings of the 9th IEEE International Conference on Advanced Learning Technologies, pp.88-92 July 2009.
  • Nagata, R., Takeda, K., Suda, K., Kakegawa, J., and Morihiro, K.: “Edu-mining for Book Recommendation for Pupils,” Proceedings of the 2nd International Conference on Educational Data Mining, pp.91-100, July 2009.
  • Nagata, R., Kakegawa, J., Sugimoto, H., and Yabuta, Y.: “Recognizing Noisy Romanized Japanese Words in Learner English,” Proceedings of the 3rd Association for Computational Linguistics Workshop on Innovative Use of NLP for Building Educational Applications, pp.27-35, June 2008.
  • Nagata, R., Kawai, A., Morihiro, K., and Isu, N.: “Visualizing the Invisible: A Method for Visualizing the Countability of English Nouns,” Proceedings of International Workshop on Natural Language Processing for Educational Resources in Conjugation with the International Conference Recent Advances in Natural Language Processing, pp.31-37, Sep. 2007.
  • Nagata, R., Suda, K., Kakegawa, J., Morihiro, K., and Showji, K.: “Edu-mining for finding keywords to improve message-production skills,” Proceedings of the 7th IEEE International Conference on Advanced Learning Technologies, pp.416-420, July 2007.
  • Nagata, R., Kawai, A., Morihiro, K., and Isu, N.: “Reinforcing English countability prediction with one countability per discourse property,” Proceedings of the 21st International Conference on Computational Linguistics and 44th Annual Meeting of the Association for Computational Linguistics Main Conference Poster Sessions, pp.595-602, July 2006.
  • Nagata, R., Kawai, A., Morihiro, K., and Isu, N.: “A Feedback-augmented method for detecting errors in the writing of learners of English,” Proceedings of the 21st International Conference on Computational Linguistics and 44th Annual Meeting of the Association for Computational Linguistics, pp.241-248, July 2006.
  • Nagata, R., Wakana, T., Masui, F., Kawai, A., and Isu, N.: “Detecting article errors based on the mass count distinction,” Lecture Notes in Artificial Intelligence, Dale, R., Wong, K.F., Su, J., Kwong, O.Y. (Eds.), Springer-Verlag, pp.815-826, Oct. 2005.
  • Nagata, R., Iguchi, T., Furuichi, Y., Masui, F., Kawai, A., and Isu, N.: “Extracting collocations for determining articles in English writing,” Proceedings of the Pacific Association for Computational Linguistics (PACLING) 05, pp.264-268, Aug. 2005.
  • Nagata, R., Masui, F., Kawai, A., and Isu, N.: “An unsupervised method for distinguishing mass and count nouns in context,” Proceedings of the Sixth International Workshop on Computational Semantics (IWCS-6), pp. 213-224, Jan. 2005.
  • Nagata, R., Masui, F., Kawai, A., and Isu, N.: “Recognizing article errors based on the three head words,” Proceedings of Cognition and Exploratory Learning in Digital Age, pp. 165-172, Dec. 2004.
  • Nagata, R., Masui, F., Kawai, A., and Isu, N.: “A method for distinguishing mass and count nouns based on contextual information,” Proceedings of the Fourth international Symposium on Human and Artificial Intelligence Systems, pp.516-521, Dec. 2004.
  • Nagata, R., Masui, F., and Kawai, A.: “A model for distinguishing mass and count nouns,” Proceedings of the Pacific Association for Computational Linguistics (PACLING) 03, pp.1-9, Aug. 2003.
  • Kobayashi, E., Nagashima, S., Hayase, M., and Nagata, R.: “Development of a web-based English correction system,” Proceedings of World Conference on Educational Multimedia, Hypermedia, and Telecommunications (ED-MEDIA) 2003, pp.388-389, June 2003.
  • Hayase, M., Nagata, R., Nagashima, S., and Kobayashi, E.: “Feedback to second language writing ― What can people and computers do?,” Proceedings of World Conference on Educational Multimedia, Hypermedia, and Telecommunications(ED-MEDIA) 2003, pp.3238-3241, June 2003.