TAILIEUCHUNG - Báo cáo khoa học: "A Syntax-Driven Bracketing Model for Phrase-Based Translation"

Syntactic analysis influences the way in which the source sentence is translated. Previous efforts add syntactic constraints to phrase-based translation by directly rewarding/punishing a hypothesis whenever it matches/violates source-side constituents. We present a new model that automatically learns syntactic constraints, including but not limited to constituent matching/violation, from training corpus. The model brackets a source phrase as to whether it satisfies the learnt syntactic constraints. The bracketed phrases are then translated as a whole unit by the decoder. . | A Syntax-Driven Bracketing Model for Phrase-Based Translation Deyi Xiong Min Zhang Aiti Aw and Haizhou Li Human Language Technology Institute for Infocomm Research 1 Fusionopolis Way 21-01 South Connexis Singapore 138632 dyxiong mzhang aaiti hli @ Abstract Syntactic analysis influences the way in which the source sentence is translated. Previous efforts add syntactic constraints to phrase-based translation by directly rewarding punishing a hypothesis whenever it matches violates source-side constituents. We present a new model that automatically learns syntactic constraints including but not limited to constituent matching violation from training corpus. The model brackets a source phrase as to whether it satisfies the learnt syntactic constraints. The bracketed phrases are then translated as a whole unit by the decoder. Experimental results and analysis show that the new model outperforms other previous methods and achieves a substantial improvement over the baseline which is not syntactically informed. 1 Introduction The phrase-based approach is widely adopted in statistical machine translation SMT . It segments a source sentence into a sequence of phrases then translates and reorder these phrases in the target. In such a process original phrase-based decoding Koehn et al. 2003 does not take advantage of any linguistic analysis which however is broadly used in rule-based approaches. Since it is not linguistically motivated original phrasebased decoding might produce ungrammatical or even wrong translations. Consider the following Chinese fragment with its parse tree Src ffi 7 11 S NP r W W MW L NP PP VP IP VP Ref established July 11 as Sailing Festival day Output to ÍE set up w for W naviga-tion MW on July 11 7 110 knots L The output is generated from a phrase-based system which does not involve any syntactic analysis. Here we use straight orientation and 0 inverted orientation to denote the common structure of the source fragment and its .

• Báo cáo khoa học
• Syntax Driven Bracketing Model
• Phrase Based Translation
• Deyi Xiong
• Min Zhang
• Aiti Aw and Haizhou Li
• báo cáo khoa học
• báo cáo 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 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