政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/98245

English | 正體中文 | 简体中文 | Post-Print筆數 : 27 | Items with full text/Total items : 113392/144379 (79%)
Visitors : 51150490 Online Users : 353

RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.

Home ‧ Login ‧ Upload ‧ Help ‧ About ‧ Administer

政大機構典藏 > 資訊學院 > 資訊科學系 > 會議論文 > Item 140.119/98245

Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/98245

Title:	Using parallel corpora to automatically generate training data for Chinese segmenters in NTCIR PatentMT task
Authors:	Wang, Jui-Ping;Liu, Chao-Lin 劉昭麟
Contributors:	資科系
Keywords:	Chinese-English Patent Machine Translation, Chinese Near Synonyms, Chinese Segmentation, Machine Learning
Date:	2013-06
Issue Date:	2016-06-22 17:19:26 (UTC+8)
Abstract:	Chinese texts do not contain spaces as word separators like English and many alphabetic languages. To use Moses to train translation models, we must segment Chinese texts into sequences of Chinese words. Increasingly more software tools for Chinese segmentation are populated on the Internet in recent years. However, some of these tools were trained with general texts, so might not handle domain-specific terms in patent documents very well. Some machine-learning based tools require us to provide segmented Chinese to train segmentation models. In both cases, providing segmented Chinese texts to refine a pre-trained model or to create a new model for segmentation is an important basis for successful Chinese-English machine translation systems. Ideally, high-quality segmented texts should be created and verified by domain experts, but doing so would be quite costly. We explored an approach to algorithmically generate segmented texts with parallel texts and lexical resources. Our scores in NTCIR-10 PatentMT indeed improved from our scores in NTCIR-9 PatentMT with the new approach.
Relation:	Proceedings of NTCIR-10 (NTCIR 10), 368‒372. Tokyo, Japan, 18-21 June 2013
Data Type:	conference
Appears in Collections:	[資訊科學系] 會議論文

Files in This Item:

File	Description	Size	Format
368-372.pdf		295Kb	Adobe PDF2	341	View/Open

社群 sharing

著作權政策宣告 Copyright Announcement

1.本網站之數位內容為國立政治大學所收錄之機構典藏，無償提供學術研究與公眾教育等公益性使用，惟仍請適度，合理使用本網站之內容，以尊重著作權人之權益。商業上之利用，則請先取得著作權人之授權。
The digital content of this website is part of National Chengchi University Institutional Repository. It provides free access to academic research and public education for non-commercial use. Please utilize it in a proper and reasonable manner and respect the rights of copyright owners. For commercial use, please obtain authorization from the copyright owner in advance.

2.本網站之製作，已盡力防止侵害著作權人之權益，如仍發現本網站之數位內容有侵害著作權人權益情事者，請權利人通知本網站維護人員(nccur@nccu.edu.tw)，維護人員將立即採取移除該數位著作等補救措施。
NCCU Institutional Repository is made to protect the interests of copyright owners. If you believe that any material on the website infringes copyright, please contact our staff(nccur@nccu.edu.tw). We will remove the work from the repository and investigate your claim.

Loading...