2024-03-29T09:58:41Z
https://nagoya.repo.nii.ac.jp/oai
oai:nagoya.repo.nii.ac.jp:00005137
2023-01-16T03:49:40Z
312:313:314
統計データに基づく話し言葉音声の係り受け解析
Robust Parsing of Spoken Language based on Statistical Dependencies
松原, 茂樹
Matsubara, Shigeki
佐藤, 利光
Sato, Toshimitsu
河口, 信夫
Kawaguchi, Nobuo
稲垣, 康善
Inagaki, Yasuyoshi
open access
This paper proposes a method of dependency parsing of the Japanese speech using statistical lexical information. The method utilizes the probability of the dependency between bunsetsu and bunsetsu, which is acquired from a spoken dialogue corpus. With the Japanese dependency grammar and the statistical dependencies, it can extract the correct dependency relation from the Japanese speech. An experiment with a speech recognition software has shown the availability of the method for a parsing parsing of spontaneously spoken language.
情報処理学会研究報告;2001-SLP-36-4
「情報処理学会研究報告自然言語処理(NL),2001(54(2001-NL-143)),63-68 (2001-05-31) 」
情報処理学会
2001-06
jpn
journal article
VoR
http://hdl.handle.net/2237/6691
https://nagoya.repo.nii.ac.jp/records/5137
0919-6072
情報処理学会研究報告音声言語情報処理(SLP)
55
23
28
https://nagoya.repo.nii.ac.jp/record/5137/files/NL2001-06-2.pdf
application/pdf
814.5 kB
2018-02-19