TAILIEUCHUNG - Báo cáo khoa học: "Lexical transfer using a vector-space model"

It exploits a vector-space model developed in information retrieval research. We present a preliminary result from our computational experiment. Introduction Many machine translation systems have been developed and commercialized. When these systems are faced with unknown domains, however, their performance degrades. Although there are several reasons behind this poor performance, in this paper, we concentrate on one of the major problems, ., building a bilingual dictionary for transfer. | Lexical transfer using a vector-space model Eiichiro SUMITA ATR Spoken Language Translation Research Laboratories 2-2 Hikaridai Seika Soraku Kyoto 619-0288 Japan sumita@ Abstract Building a bilingual dictionary for transfer in a machine translation system is conventionally done by hand and is very time-consuming. In order to overcome this bottleneck we propose a new mechanism for lexical transfer which is simple and suitable for learning from bilingual corpora. It exploits a vector-space model developed in information retrieval research. We present a preliminary result from our computational experiment. Introduction Many machine translation systems have been developed and commercialized. When these systems are faced with unknown domains however their performance degrades. Although there are several reasons behind this poor performance in this paper we concentrate on one of the major problems . building a bilingual dictionary for transfer. A bilingual dictionary consists of rules that map a part of the representation of a source sentence to a target representation by taking grammatical differences such as the word order between the source and target languages into consideration. These rules usually use case-frames as their base and accompany syntactic and or semantic constraints on mapping from a source word to a target word. For many machine translation systems experienced experts on individual systems compile the bilingual dictionary because this is a complicated and difficult task. In other words this task is knowledge-intensive and labor-intensive and therefore time-consuming. Typically the developer of a machine translation system has to spend several years building a general-purpose bilingual dictionary. Unfortunately such a general-purpose dictionary is not almighty in that 1 when faced with a new domain unknown source words may emerge and or some domain-specific usages of known words may appear and 2 the accuracy of the target word selection

• Báo cáo khoa học
• Lexical transfer
• a vector space model
• Eiichiro SUMITA
• báo cáo khoa học
• mô hình ngôn ngữ
• xử lý ngôn ngữ tự nhiên
• Lexical Transfer based on bilingual signs
• Towards interaction during transfer
• Jun ich Tsujii Kimikazu Fujita
• scientific reports
• model language
• process natural language
• Assisting Translators
• Indirect Lexical Transfer
• Bogdan Babych
• Anthony Hartley
• 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