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Bian, G.-W.; Chen, H.-H.: Cross-language information access to multilingual collections on the Internet (2000)
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- Abstract
- Language barrier is the major problem that people face in searching for, retrieving, and understanding multilingual collections on the Internet. This paper deals with query translation and document translation in a Chinese-English information retrieval system called MTIR. Bilingual dictionary and monolingual corpus-based approaches are adopted to select suitable tranlated query terms. A machine transliteration algorithm is introduced to resolve proper name searching. We consider several design issues for document translation, including which material is translated, what roles the HTML tags play in translation, what the tradeoff is between the speed performance and the translation performance, and what from the translated result is presented in. About 100.000 Web pages translated in the last 4 months of 1997 are used for quantitative study of online and real-time Web page translation
- Date
- 16. 2.2000 14:22:39
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Ballesteros, L.A.: Cross-language retrieval via transitive relation (2000)
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- Abstract
- The growth in availability of multi-lingual data in all areas of the public and private sector is driving an increasing need for systems that facilitate access to multi-lingual resources. Cross-language Retrieval (CLR) technology is a means of addressing this need. A CLR system must address two main hurdles to effective cross-language retrieval. First, it must address the ambiguity that arises when trying to map the meaning of text across languages. That is, it must address both within-language ambiguity and cross-language ambiguity. Second, it has to incorporate multilingual resources that will enable it to perform the mapping across languages. The difficulty here is that there is a limited number of lexical resources and virtually none for some pairs of languages. This work focuses on a dictionary approach to addressing the problem of limited lexical resources. A dictionary approach is taken since bilingual dictionaries are more prevalent and simpler to apply than other resources. We show that a transitive translation approach, where a third language is employed as an interlingua between the source and target languages, is a viable means of performing CLR between languages for which no bilingual dictionary is available
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Li, Q.; Chen, Y.P.; Myaeng, S.-H.; Jin, Y.; Kang, B.-Y.: Concept unification of terms in different languages via web mining for Information Retrieval (2009)
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- Abstract
- For historical and cultural reasons, English phrases, especially proper nouns and new words, frequently appear in Web pages written primarily in East Asian languages such as Chinese, Korean, and Japanese. Although such English terms and their equivalences in these East Asian languages refer to the same concept, they are often erroneously treated as independent index units in traditional Information Retrieval (IR). This paper describes the degree to which the problem arises in IR and proposes a novel technique to solve it. Our method first extracts English terms from native Web documents in an East Asian language, and then unifies the extracted terms and their equivalences in the native language as one index unit. For Cross-Language Information Retrieval (CLIR), one of the major hindrances to achieving retrieval performance at the level of Mono-Lingual Information Retrieval (MLIR) is the translation of terms in search queries which can not be found in a bilingual dictionary. The Web mining approach proposed in this paper for concept unification of terms in different languages can also be applied to solve this well-known challenge in CLIR. Experimental results based on NTCIR and KT-Set test collections show that the high translation precision of our approach greatly improves performance of both Mono-Lingual and Cross-Language Information Retrieval.
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Chen, K.-H.: Evaluating Chinese text retrieval with multilingual queries (2002)
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- Source
- Knowledge organization. 29(2002) nos.3/4, S.156-170
