TAILIEUCHUNG - Báo cáo khoa học: "Enhancing electronic dictionaries with an index based on associations"

A good dictionary contains not only many entries and a lot of information concerning each one of them, but also adequate means to reveal the stored information. Information access depends crucially on the quality of the index. We will present here some ideas of how a dictionary could be enhanced to support a speaker/writer to find the word s/he is looking for. To this end we suggest to add to an existing electronic resource an index based on the notion of association. | Enhancing electronic dictionaries with an index based on associations Olivier Ferret CEA -LIST LIC2M 18 Route du Panorama F-92265 Fontenay-aux-Roses ferreto@ Michael Zock1 LIF-CNRS 163 Avenue de Luminy F-13288 Marseille CedeX 9 Abstract A good dictionary contains not only many entries and a lot of information concerning each one of them but also adequate means to reveal the stored information. Information access depends crucially on the quality of the index. We will present here some ideas of how a dictionary could be enhanced to support a speaker writer to find the word s he is looking for. To this end we suggest to add to an existing electronic resource an index based on the notion of association. We will also present preliminary work of how a subset of such associations for example topical associations can be acquired by filtering a network of lexical co-occurrences extracted from a corpus. 1 Introduction A dictionary user typically pursues one of two goals Humble 2001 as a decoder reading listening he may look for the definition or the translation of a specific target word while as an encoder speaker writer he may want to find a word that expresses well not only a given concept but is also appropriate in a given context. Obviously readers and writers come to the dictionary with different mindsets information and expectations concerning input and output. While the decoder can provide the word he wants additional information for the encoder language producer provides the meaning of a word for which he lacks the corresponding form. In sum users with different goals need access to different indexes one that is based on form decoding 1 In alphabetical order the other being based on meaning or meaning relations encoding . Our concern here is more with the encoder . lexical access in language production a feature largely neglected in lexicographical work. Yet a good dictionary contains not only many entries and a lot of .

• Báo cáo khoa học
• Enhancing electronic dictionaries
• an index based on associations
• Olivier Ferret
• 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