| correct <term> syntactic structure </term> | by | taking advantage of the <term> symmetric | #19804 This paper presents an English coordinate structure analysis model, which provides top-down scope information of the correct syntactic structureby taking advantage of the symmetric patterns of the parallelism. | |
| </term> against <term> vocabulary size </term> | by | <term> extrapolation </term> . Thus , our model | #20345 Moreover, a study on communications between APs demonstrates the scalability against vocabulary sizeby extrapolation. | |
| from the <term> homophone errors </term> caused | by | the <term> KANA-KANJI conversion </term> needed | #20375 Japanese texts frequently suffer from the homophone errors caused by the KANA-KANJI conversion needed to input the text. | |
| member of the <term> semantic set </term> defined | by | the <term> homophone </term> . Also , the method | #20513 The method accurately determines that a homophone is misused in a compound noun if one or both of its neighbors is not a member of the semantic set defined by the homophone. | |
| entries </term> , constructed automatically | by | applying a set of <term> extraction and conversion | #20984 It contains a lexicon with over 90,000 entries, constructed automatically by applying a set of extraction and conversion rules to entries from machine readable dictionaries. | |
| island-based parsing method </term> controlled | by | <term> user-defined performance thresholds | #21122 The system uses a robust island-based parsing method controlled by user-defined performance thresholds. | |
| word matchings </term> , are also factored in | by | modifying the <term> transition probabilities | #21354 Other contextual clues, such as editing terms, word fragments, and word matchings, are also factored in by modifying the transition probabilities. |
