日本語地図課題対話コーパスの設計と特徴 堀内 靖雄 中野 有紀子 小磯 花絵 石崎 雅人 鈴木 浩之 岡田 美智男 仲 真紀子 土屋 俊 市川 熹 社団法人人工知能学会 人工知能学会誌 09128085 14 2 261 272 1999-03-01 The Japanese Map Task Corpus was created between 1994 and 1998 and contains a collection of 23 hour digital recordings, digitized maps and orthographic transcriptions of 128 dialogues by 64 native Japanese speakers. Map task dialogues are dialogues participated in by two speakers, the instruction giver who has a map with a route and the instruction follower who has a map without a route. The giver verbally instructs the follower to draw a route on his map. The two maps are slightly different so that there may emerge a natural interaction in spite of the fact that the flow of information internal to the task is basically one way. The principle and design of the recordings are described with special reference to the augmentations and improvements to the original HCRC Map Task corpus. Annotations to the orthographic transcriptions are viewed as "tags" that provide the start and end times of utterances, the duration of pauses, non-verbal events and synchronization of overlapping utterances, in a format which provides a view to giving a basis for further tagging in terms of linguistic and discourse phenomena in a interchangeable and sharable manner. Discourse and linguistic phenomena peculiar to spontaneous spoken dialogues, such as overlapping, are analyzed and the method of recording such phenomena in the transcription is discussed and proposed, with an implication for the requirement that one dialogue be represented in one digitized sound file for the preservation and reference of the information on timing. The tags emp1oyed in the corpus also provide an easy way of characterizing it in terms of the number and the duration of utteraI1ces and pauses. The statistical figures thus ob-tained are relatively independent of design factors like kinds of maps, but familiarity does significantly correlate with the duration and number of utterances. 1999-03-01 110002808180 AN10067140 4655335 JPN CJP CJPref NDL NII-ELS 1 14 16 The Design and Statistical Characterization of the Japanese Map Task Dialogue Corpus Horiuchi Yasuo Nakano Yukiko Koiso Hanae Ishizaki Masato Suzuki hiroyuki Okada Michio Naka Makiko Tutiya Syun Ichikawa Akira The Japanese Society for Artificial Intelligence Journal of Japanese Society for Artificial Intelligence The Japanese Map Task Corpus was created between 1994 and 1998 and contains a collection of 23 hour digital recordings, digitized maps and orthographic transcriptions of 128 dialogues by 64 native Japanese speakers. Map task dialogues are dialogues participated in by two speakers, the instruction giver who has a map with a route and the instruction follower who has a map without a route. The giver verbally instructs the follower to draw a route on his map. The two maps are slightly different so that there may emerge a natural interaction in spite of the fact that the flow of information internal to the task is basically one way. The principle and design of the recordings are described with special reference to the augmentations and improvements to the original HCRC Map Task corpus. Annotations to the orthographic transcriptions are viewed as "tags" that provide the start and end times of utterances, the duration of pauses, non-verbal events and synchronization of overlapping utterances, in a format which provides a view to giving a basis for further tagging in terms of linguistic and discourse phenomena in a interchangeable and sharable manner. Discourse and linguistic phenomena peculiar to spontaneous spoken dialogues, such as overlapping, are analyzed and the method of recording such phenomena in the transcription is discussed and proposed, with an implication for the requirement that one dialogue be represented in one digitized sound file for the preservation and reference of the information on timing. The tags emp1oyed in the corpus also provide an easy way of characterizing it in terms of the number and the duration of utteraI1ces and pauses. The statistical figures thus ob-tained are relatively independent of design factors like kinds of maps, but familiarity does significantly correlate with the duration and number of utterances. 堀内 靖雄 Horiuchi Yasuo 千葉大学 Chiba University 中野 有紀子 Nakano Yukiko NTT情報通信研究所 Chiba University 小磯 花絵 Koiso Hanae 国立国語研究所 NTT Information and Communication Systems laboratories 石崎 雅人 Ishizaki Masato 北陸先端科学技術大学院大学 The National Language Research Institute 鈴木 浩之 Suzuki hiroyuki 松下電器産業株式会社 Japan Advanced Institute of Science and Technology 岡田 美智男 Okada Michio (株)エイ・テイ・アール知能映像通信研究所 Matsushita Electric Industrial Co., Ltd. 仲 真紀子 Naka Makiko 千葉大学 ATR Media Integration & Communications Research Laboratories 土屋 俊 Tutiya Syun 千葉大学 Chiba University 市川 熹 Ichikawa Akira 千葉大学 Chiba University