versión On-line ISSN 1870-9044
Polibits no.43 México ene./jun. 2011
A CrossLingual Pattern Retrieval Framework
MeiHua Chen1*, ChungChi Huang1**, ShihTing Huang1***, HsienChin Liou2, and Jason S. Chang1****
2 FL, NTHU, HsinChu, Taiwan, R.O.C. 300 (email: firstname.lastname@example.org).
Manuscript received November 28, 2010.
Manuscript accepted for publication January 5, 2011.
We introduce a method for learning to grammatically categorize and organize the contexts of a given query. In our approach, grammatical descriptions, from general word groups to specific lexical phrases, are imposed on the query's contexts aimed at accelerating lexicographers' and language learners' navigation through and GRASP upon the word usages. The method involves lemmatizing, partofspeech tagging and shallowly parsing a general corpus and constructing its inverted files for monolingual queries, and wordaligning parallel texts and extracting and pruning translation equivalents for crosslingual ones. At runtime, grammarlike patterns are generated, organized to form a thesaurus index structure on query words' contexts, and presented to users along with their instantiations. Experimental results show that the extracted predominant patterns resemble phrases in grammar books and that the abstracttoconcrete context hierarchy of querying words effectively assists the process of language learning, especially in sentence translation or composition.
Key words: Grammatical constructions, lexical phrases, context, language learning, inverted files, phrase pairs, crosslingual pattern retrieval.
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