Presentation 2020-07-02
morfawk: A Morpheme Pattern Matching and Processing Language
Tsuneo Nakanishi, Kenji Yoshimura, Hokuto Ototake, Toshifumi Tanabe, Hiroki Furusho, Yoichi Nishiura,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) Natural language processing is a promising scheme to reduce cost for reviews of software development documents described in the natural language. Pattern matching of morpheme is helpful enough for the purpose. In this paper, the authors describe the language specification of morfawk, a morpheme pattern matching and processing language, which performs morpheme level pattern matching and processing according to the result. morfawk enables pattern-based natural language processing including a proofreading with a script consisting of a pattern description based on morpheme regular expressions and an action description in Python.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) natural language processing / morphological analysis / pattern matching / software development document
Paper # SS2020-4
Date of Issue 2020-06-25 (SS)

Conference Information
Committee SS / IPSJ-SE
Conference Date 2020/7/2(1days)
Place (in Japanese) (See Japanese page)
Place (in English) Online
Topics (in Japanese) (See Japanese page)
Topics (in English) Software Engineering, Software Science, etc.
Chair Takashi Kobayashi(Tokyo Inst. of Tech.) / 丸山 勝久(立命館大)
Vice Chair Kozo Okano(Shinshu Univ.)
Secretary Kozo Okano(Hiroshima City Univ.) / (Tokyo Inst. of Tech.)
Assistant Shinpei Ogata(Shinshu Univ.)

Paper Information
Registration To Technical Committee on Software Science / Special Interest Group on Software Engineering
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) morfawk: A Morpheme Pattern Matching and Processing Language
Sub Title (in English)
Keyword(1) natural language processing
Keyword(2) morphological analysis
Keyword(3) pattern matching
Keyword(4) software development document
1st Author's Name Tsuneo Nakanishi
1st Author's Affiliation Fukuoka University(Fukuoka Univ.)
2nd Author's Name Kenji Yoshimura
2nd Author's Affiliation Fukuoka University(Fukuoka Univ.)
3rd Author's Name Hokuto Ototake
3rd Author's Affiliation Fukuoka University(Fukuoka Univ.)
4th Author's Name Toshifumi Tanabe
4th Author's Affiliation Fukuoka University(Fukuoka Univ.)
5th Author's Name Hiroki Furusho
5th Author's Affiliation Fukuoka University(Fukuoka Univ.)
6th Author's Name Yoichi Nishiura
6th Author's Affiliation Aisin Seiki(Aisin Seiki)
Date 2020-07-02
Paper # SS2020-4
Volume (vol) vol.120
Number (no) SS-82
Page pp.pp.19-24(SS),
#Pages 6
Date of Issue 2020-06-25 (SS)