TAILIEUCHUNG - Báo cáo khoa học: "A Collaborative Framework for Collecting Thai Unknown Words from the Web"

We propose a collaborative framework for collecting Thai unknown words found on Web pages over the Internet. Our main goal is to design and construct a Webbased system which allows a group of interested users to participate in constructing a Thai unknown-word open dictionary. The proposed framework provides supporting algorithms and tools for automatically identifying and extracting unknown words from Web pages of given URLs. The system yields the result of unknownword candidates which are presented to the users for verification. . | A Collaborative Framework for Collecting Thai Unknown Words from the Web Choochart Haruechaiyasak Chatchawal Sangkeettrakarn Pornpimon Palingoon Sarawoot Kongyoung and Chaianun Damrongrat Information Research and Development Division RDI National Electronics and Computer Technology Center NECTEC Thailand Science Park Klong Luang Pathumthani 12120 Thailand rdi5@ Abstract We propose a collaborative framework for collecting Thai unknown words found on Web pages over the Internet. Our main goal is to design and construct a Webbased system which allows a group of interested users to participate in constructing a Thai unknown-word open dictionary. The proposed framework provides supporting algorithms and tools for automatically identifying and extracting unknown words from Web pages of given URLs. The system yields the result of unknownword candidates which are presented to the users for verification. The approved unknown words could be combined with the set of existing words in the lexicon to improve the performance of many NLP tasks such as word segmentation information retrieval and machine translation. Our framework includes word segmentation and morphological analysis modules for handling the non-segmenting characteristic of Thai written language. To take advantage of large available text resource on the Web our unknown-word boundary identification approach is based on the statistical string pattern-matching algorithm. Keywords Unknown words open dictionary word segmentation morphological analysis word-boundary detection. 1 Introduction The advent of the Internet and the increasing popularity of the Web have altered many aspects of natural language usage. As more people turn to the Internet as a new communicating channel the textual information has increased tremendously and is also widely accessible. More importantly the available information is varied largely in terms of topic difference and multi-language characteristic. It is not uncommon to .

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