Zobrazeno 1 - 10
of 53
pro vyhledávání: '"Kanako Komiya"'
Publikováno v:
Computational Linguistics (2023)
Externí odkaz:
https://doaj.org/article/2e51ef802df7474da25f8132f71dab0d
Publikováno v:
Computational Linguistics (2022)
Externí odkaz:
https://doaj.org/article/24170fc9a2f549f7bab6caeff3b97c1e
Publikováno v:
ACM Transactions on Asian and Low-Resource Language Information Processing. 22:1-22
In recent years, the use of distributed representations has been a fundamental technology for natural language processing. However, Japanese has multiple compound words, and often we must compare the meanings of a word and a compound word. Moreover,
Publikováno v:
言語資源ワークショップ発表論文集 = Proceedings of Language Resources Workshop. 1:59-69
Tokyo University of Agriculture and Technology
National Institute for Japanese Language and Linguistics
会議名: 言語資源ワークショップ2022, 開催地: オンライン, 会期: 2022年8月30日-31日, 主催: 国立国語研究
National Institute for Japanese Language and Linguistics
会議名: 言語資源ワークショップ2022, 開催地: オンライン, 会期: 2022年8月30日-31日, 主催: 国立国語研究
Autor:
Jun Izutsu, Kanako Komiya
Publikováno v:
International Journal on Natural Language Computing. 11:29-45
This study proposes a method to develop neural models of the morphological analyzer for Japanese Hiragana sentences using the Bi-LSTM CRF model. Morphological analysis is a technique that divides text data into words and assigns information such as p
Publikováno v:
Journal of Natural Language Processing. 29:854-874
Publikováno v:
BASE-Bielefeld Academic Search Engine
application/pdf
Ibaraki University
National Institute for Japanese Language and Linguistics
In this paper, we show how to use bilingual word embeddings (BWE) to automatically create a corresponding table of meaning tags from two dictio
Ibaraki University
National Institute for Japanese Language and Linguistics
In this paper, we show how to use bilingual word embeddings (BWE) to automatically create a corresponding table of meaning tags from two dictio
Autor:
Jun Izutsu, Kanako Komiya
This study proposes a method to develop neural models of the morphological analyzer for Japanese Hiragana sentences using the Bi-LSTM CRF model. Morphological analysis is a technique that divides text data into words and assigns information such as p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::41e4cfa4cf5c020414516ff5e91823e8
Autor:
Mika Kishino, Kanako Komiya
Publikováno v:
Natural Language Processing.
This study extracted and analyzed the linguistic speech patterns that characterize Japanese anime or game characters. Conventional morphological analyzers, such as MeCab, segment words with high performance, but they are unable to segment broken expr
Publikováno v:
BASE-Bielefeld Academic Search Engine
application/pdf
茨城大学
国立国語研究所
Ibaraki University
National Institute for Japanese Language and Linguistics
All-words word-sense disambiguation (all-words WSD) involves identifying the senses of all words i
茨城大学
国立国語研究所
Ibaraki University
National Institute for Japanese Language and Linguistics
All-words word-sense disambiguation (all-words WSD) involves identifying the senses of all words i