Wakako Kashino


2022

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Design and Evaluation of the Corpus of Everyday Japanese Conversation
Hanae Koiso | Haruka Amatani | Yasuharu Den | Yuriko Iseki | Yuichi Ishimoto | Wakako Kashino | Yoshiko Kawabata | Ken’ya Nishikawa | Yayoi Tanaka | Yasuyuki Usuda | Yuka Watanabe
Proceedings of the Thirteenth Language Resources and Evaluation Conference

We have constructed the Corpus of Everyday Japanese Conversation (CEJC) and published it in March 2022. The CEJC is designed to contain various kinds of everyday conversations in a balanced manner to capture their diversity. The CEJC features not only audio but also video data to facilitate precise understanding of the mechanism of real-life social behavior. The publication of a large-scale corpus of everyday conversations that includes video data is a new approach. The CEJC contains 200 hours of speech, 577 conversations, about 2.4 million words, and a total of 1675 conversants. In this paper, we present an overview of the corpus, including the recording method and devices, structure of the corpus, formats of video and audio files, transcription, and annotations. We then report some results of the evaluation of the CEJC in terms of conversant and conversation attributes. We show that the CEJC includes a good balance of adult conversants in terms of gender and age, as well as a variety of conversations in terms of conversation forms, places, activities, and numbers of conversants.

2018

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Annotation and Quantitative Analysis of Speaker Information in Novel Conversation Sentences in Japanese
Makoto Yamazaki | Yumi Miyazaki | Wakako Kashino
Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)

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Construction of the Corpus of Everyday Japanese Conversation: An Interim Report
Hanae Koiso | Yasuharu Den | Yuriko Iseki | Wakako Kashino | Yoshiko Kawabata | Ken’ya Nishikawa | Yayoi Tanaka | Yasuyuki Usuda
Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)

2010

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An Approach toward Register Classification of Book Samples in the Balanced Corpus of Contemporary Written Japanese
Wakako Kashino | Manabu Okumura
Proceedings of the 24th Pacific Asia Conference on Language, Information and Computation

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Design, Compilation, and Preliminary Analyses of Balanced Corpus of Contemporary Written Japanese
Kikuo Maekawa | Makoto Yamazaki | Takehiko Maruyama | Masaya Yamaguchi | Hideki Ogura | Wakako Kashino | Toshinobu Ogiso | Hanae Koiso | Yasuharu Den
Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC'10)

Compilation of a 100 million words balanced corpus called the Balanced Corpus of Contemporary Written Japanese (or BCCWJ) is underway at the National Institute for Japanese Language and Linguistics. The corpus covers a wide range of text genres including books, magazines, newspapers, governmental white papers, textbooks, minutes of the National Diet, internet text (bulletin board and blogs) and so forth, and when possible, samples are drawn from the rigidly defined statistical populations by means of random sampling. All texts are dually POS-analyzed based upon two different, but mutually related, definitions of ‘word.’ Currently, more than 90 million words have been sampled and XML annotated with respect to text-structure and lexical and character information. A preliminary linear discriminant analysis of text genres using the data of POS frequencies and sentence length revealed it was possible to classify the text genres with a correct identification rate of 88% as far as the samples of books, newspapers, whitepapers, and internet bulletin boards are concerned. When the samples of blogs were included in this data set, however, the identification rate went down to 68%, suggesting the considerable variance of the blog texts in terms of the textual register and style.