tailieunhanh - Báo cáo khoa học: "Learning Source-Target Surface Patterns for Web-based Terminology Translation"

This paper introduces a method for learning to find translation of a given source term on the Web. In the approach, the source term is used as a query and part of patterns to retrieve and extract translations in Web pages. The method involves using a bilingual term list to learn sourcetarget surface patterns. At runtime, the given term is submitted to a search engine then the candidate translations are extracted from the returned summaries and subsequently ranked based on the surface patterns, occurrence counts, and transliteration knowledge. We present a prototype called TermMine that applies the method to. | Learning Source-Target Surface Patterns for Web-based Terminology Translation Jian-Cheng Wu Department of Computer Science National Tsing Hua University 101 Kuangfu Road Hsinchu 300 Taiwan D928322@ Tracy Lin Dep. of Communication Eng. National Chiao Tung University 1001 Ta Hsueh Road Hsinchu 300 Taiwan tracylin@ Jason S. Chang Department of Computer Science National Tsing Hua University 101 Kuangfu Road Hsinchu 300 Taiwan jschang@ Abstract This paper introduces a method for learning to find translation of a given source term on the Web. In the approach the source term is used as a query and part of patterns to retrieve and extract translations in Web pages. The method involves using a bilingual term list to learn sourcetarget surface patterns. At runtime the given term is submitted to a search engine then the candidate translations are extracted from the returned summaries and subsequently ranked based on the surface patterns occurrence counts and transliteration knowledge. We present a prototype called TermMine that applies the method to translate terms. Evaluation on a set of encyclopedia terms shows that the method significantly outperforms the state-of-the-art online machine translation systems. 1 Introduction Translation of terms has long been recognized as the bottleneck of translation by translators. By reusing prior translations a significant time spent in translating terms can be saved. For many years now Computer-Aided Translation CAT tools have been touted as very useful for productivity and quality gains for translators. CAT tools such as Trados typically require up-front investment to populate multilingual terminology and translation memory. However such investment has proven prohibitive for many in-house translation departments and freelancer translators and the actual productivity gains realized have been insignificant except for a few very repetitive types of content. Much more productivity gain could be .

• Báo cáo khoa học
• Learning Source Target Surface Patterns
• Web based Terminology Translation
• Jian Cheng Wu
• báo cáo khoa học
• mô hình ngôn ngữ
• xử lý ngôn ngữ tự nhiên
• Bài giảng Xử lý ngôn ngữ tự nhiên
• Ngôn ngữ tự nhiên
• Kỹ thuật lập trình
• Xử lý nhập nhằng ngữ nghĩa
• Xử lý ngữ nghĩa
• Xử lý ngôn ngữ
• Natural Language Processing
• Ngôn ngữ lập trình
• Nhập nhằng cấu trúc
• Tri thức về ngôn ngữ
• Mô hình n gram
• Dịch máy
• Phương pháp dịch máy
• Hiểu ngôn ngữ
• Phân tích ngữ nghĩa
• Phân loại tin tự động
• Biểu diễn vị từ
• Thuộc tính về sự kiện
• Thuộc tính về sự kiện
• Mô hình ngôn ngữ Google Book N grams
• Mô hình ngôn ngữ KenLM
• Phương pháp làm mịn
• Tách từ tiếng Việt
• Gán nhãn từ loại
• Phân tích cú pháp
• Nghĩa từ vựng
• Phân giải nhập nhằng từ
• Phân loại văn bản
• Lexical chain
• Phản hồi thông tin
• Bài toán PTCP
• Cấu trúc ngữ pháp
• Phân tích cú pháp xác suất
• CKY kết hợp xác suất
• Văn phạm phi ngữ cảnh xác suất
• Hình thái học