TAILIEUCHUNG - Báo cáo khoa học: "Tricolor DAGs for Machine Translation"

Machine translation (MT) has recently been formulated in terms of constraint-based knowledge representation and unification theories~ but it is becoming more and more evident that it is not possible to design a practical M T system without an adequate method of handling mismatches between semantic representations in the source and target languages. In this paper, we introduce the idea of "information-based" MT, which is considerably more flexible than interlingual MT or the conventional transfer-based MT. Introduction With the intensive exploration of contemporary theories on unification grammars[6, 15, 13] and feature structures[7, 19] in the last decade, the old image. | Tricolor DAGs for Machine Translation Koichi Takeda Tokyo Research Laboratory IBM Research 1623-14 Shimotsuruma Yamato Kanagawa 242 Japan Phone 81-462-73-4569 81-462-73-7413 FAX takeda@ Abstract Machine translation MT has recently been formulated in terms of constraint-based knowledge representation and unification theories but it is becoming more and more evident that it is not possible to design a practical MT system without an adequate method of handling mismatches between semantic representations in the source and target languages. In this paper we introduce the idea of information-based MT which is considerably more flexible than interlingual MT or the conventional transfer-based MT. Introduction With the intensive exploration of contemporary theories on unification grammars 6 15 13 and feature structures 19 in the last decade the old image of machine translation MT as a brutal form of natural language processing has given way to that of a process based on a uniform and reversible architecture 16 1 27 . The developers of MT systems based on the constraint-based formalism found a serious problem in language mismatching namely the difference between semantic representations in the source and target Attempts to design a pure interlingual MT system were therefore abandoned 2 and the notion of semantic transfer 24 22 came into focus as a practical solution to the problem of handling the language mismatching. The constraint-based formalism 2 seemed promising as a formal definition of transfer but pure constraints are too rigid to be precisely imposed on target-language sentences. Some researchers . Russell 14 introduced 1For example Yasuhara 26 reported there was an overlap of only 10 between his group s English and Japanese concept dictionaries which covered million concepts. 2 Even an MT system with a controlled input language 12 does not claim to be a pure interlingual system the concept of defeasible reasoning in order to .

• Báo cáo khoa học
• Tricolor DAGs
• Machine Translation
• Koichi Takeda
• 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