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日本語学習者会話データを用いた相互行為分析と対話破綻の傾向に関する一考察
https://ipsj.ixsq.nii.ac.jp/records/191235
https://ipsj.ixsq.nii.ac.jp/records/1912356ed5dbc9-5528-40f1-982f-22cd8a6353b3
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
IPSJ-DBS18167029.pdf (1.1 MB)
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Copyright (c) 2018 by the Institute of Electronics, Information and Communication Engineers This SIG report is only available to those in membership of the SIG.
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| DBS:会員：¥0, DLIB:会員：¥0 | ||
| Item type | SIG Technical Reports(1) | |||||||
|---|---|---|---|---|---|---|---|---|
| 公開日 | 2018-09-05 | |||||||
| タイトル | ||||||||
| タイトル | 日本語学習者会話データを用いた相互行為分析と対話破綻の傾向に関する一考察 | |||||||
| タイトル | ||||||||
| 言語 | en | |||||||
| タイトル | A Study on Interaction Analysis Using Japanese Learner's Conversation Data and the Tendency of Dialogue Breaking | |||||||
| 言語 | ||||||||
| 言語 | jpn | |||||||
| キーワード | ||||||||
| 主題Scheme | Other | |||||||
| 主題 | 自然言語処理 | |||||||
| 資源タイプ | ||||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_18gh | |||||||
| 資源タイプ | technical report | |||||||
| 著者所属 | ||||||||
| 放送大学教養学部 | ||||||||
| 著者所属(英) | ||||||||
| en | ||||||||
| The Open University of Japan | ||||||||
| 著者名 |
太田, 博三
× 太田, 博三
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| 著者名(英) |
Hiromitsu, Ota
× Hiromitsu, Ota
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| 論文抄録 | ||||||||
| 内容記述タイプ | Other | |||||||
| 内容記述 | In recent years, interactive systems and dialogue generation in natural language processing have attracted attention. Particularly due to the spread of chat bots to call centers, accurate human interactive response is required. On the other hand, qualitative interactions in sociology's etlmomethodology and discourse analysis / conversation analysis are beneficial. Therefore, once again, using the Japanese language learner conversation data corpus of the National Institute of Japanese Language, it is a consideration aiming to verify the effect and apply it to the tendency of dialogue collapse and dialogue generation. | |||||||
| 論文抄録(英) | ||||||||
| 内容記述タイプ | Other | |||||||
| 内容記述 | In recent years, interactive systems and dialogue generation in natural language processing have attracted attention. Particularly due to the spread of chat bots to call centers, accurate human interactive response is required. On the other hand, qualitative interactions in sociology's etlmomethodology and discourse analysis / conversation analysis are beneficial. Therefore, once again, using the Japanese language learner conversation data corpus of the National Institute of Japanese Language, it is a consideration aiming to verify the effect and apply it to the tendency of dialogue collapse and dialogue generation. | |||||||
| 書誌レコードID | ||||||||
| 収録物識別子タイプ | NCID | |||||||
| 収録物識別子 | AN10112482 | |||||||
| 書誌情報 |
研究報告データベースシステム（DBS） 巻 2018-DBS-167, 号 29, p. 1-6, 発行日 2018-09-05 |
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| ISSN | ||||||||
| 収録物識別子タイプ | ISSN | |||||||
| 収録物識別子 | 2188-871X | |||||||
| Notice | ||||||||
| SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc. | ||||||||
| 出版者 | ||||||||
| 言語 | ja | |||||||
| 出版者 | 情報処理学会 | |||||||
