TAILIEUCHUNG - Báo cáo khoa học: "Using comparable corpora to solve problems difficult for human translators"

In this paper we present a tool that uses comparable corpora to find appropriate translation equivalents for expressions that are considered by translators as difficult. For a phrase in the source language the tool identifies a range of possible expressions used in similar contexts in target language corpora and presents them to the translator as a list of suggestions. In the paper we discuss the method and present results of human evaluation of the performance of the tool, which highlight its usefulness when dictionary solutions are lacking. . | Using comparable corpora to solve problems difficult for human translators Serge Sharoff Bogdan Babych Anthony Hartley Centre for Translation Studies University of Leeds LS2 9JT UK @ Abstract In this paper we present a tool that uses comparable corpora to find appropriate translation equivalents for expressions that are considered by translators as difficult. For a phrase in the source language the tool identifies a range of possible expressions used in similar contexts in target language corpora and presents them to the translator as a list of suggestions. In the paper we discuss the method and present results of human evaluation of the performance of the tool which highlight its usefulness when dictionary solutions are lacking. 1 Introduction There is no doubt that both professional and trainee translators need access to authentic data provided by corpora. With respect to polysemous lexical items bilingual dictionaries list several translation equivalents for a headword but words taken in their contexts can be translated in many more ways than indicated in dictionaries. For instance the Oxford Russian Dictionary ORD lacks a translation for the Russian expression Iic 0TB6T comprehensive answer while the Multitran Russian-English dictionary suggests that it can be translated as irrefragable answer. Yet this expression is extremely rare in English on the Internet it occurs mostly in pages produced by Russian speakers. On the other hand translations for polysemous words are too numerous to be listed for all possible contexts. For example the entry for strong in ORD already has 57 subentries and yet it fails to mention many word combinations frequent in the British National Corpus BNC such as strong feeling field opposition sense voice . Strong voice is also not listed in the Oxford French German or Spanish Dictionaries. There has been surprisingly little research on computational methods for finding .

• Báo cáo khoa học
• Using comparable corpora
• solve problems difficult
• human translators
• báo cáo khoa học
• mô hình ngôn ngữ
• xử lý ngôn ngữ tự nhiên
• Using Bilingual Comparable Corpora
• Semi supervised Clustering
• Topic Tracking
• Bilingual Terminology Mining
• Using Brain
• brawn comparable corpora
• Identifying Word Translations
• Comparable Corpora
• Latent Topic Models
• báo cáo ngôn ngữ
• ngôn ngữ tự nhiên
• Bài giảng Xử lý 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