文献
J-GLOBAL ID:202102274330233359
整理番号:21A0678744
長短期記憶(LSTM)を用いたYouTubeサブタイトルの文間セグメンテーション【JST・京大機械翻訳】
Inter-Sentence Segmentation of YouTube Subtitles Using Long-Short Term Memory (LSTM)
著者 (10件):
Song Hye-Jeong
(School of Software, Hallym University, Chuncheon-si, Gangwon-do 24252, Korea)
,
Song Hye-Jeong
(Bio-IT Center, Hallym University, Chuncheon-si, Gangwon-do 24252, Korea)
,
Kim Hong-Ki
(School of Software, Hallym University, Chuncheon-si, Gangwon-do 24252, Korea)
,
Kim Hong-Ki
(Bio-IT Center, Hallym University, Chuncheon-si, Gangwon-do 24252, Korea)
,
Kim Jong-Dae
(School of Software, Hallym University, Chuncheon-si, Gangwon-do 24252, Korea)
,
Kim Jong-Dae
(Bio-IT Center, Hallym University, Chuncheon-si, Gangwon-do 24252, Korea)
,
Park Chan-Young
(School of Software, Hallym University, Chuncheon-si, Gangwon-do 24252, Korea)
,
Park Chan-Young
(Bio-IT Center, Hallym University, Chuncheon-si, Gangwon-do 24252, Korea)
,
Kim Yu-Seop
(School of Software, Hallym University, Chuncheon-si, Gangwon-do 24252, Korea)
,
Kim Yu-Seop
(Bio-IT Center, Hallym University, Chuncheon-si, Gangwon-do 24252, Korea)
資料名:
Applied Sciences (Web)
(Applied Sciences (Web))
巻:
9
号:
7
ページ:
1504
発行年:
2019年
JST資料番号:
U7135A
ISSN:
2076-3417
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
スイス (CHE)
言語:
英語 (EN)