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Dork, B.J.; Garman, J.; Weinberg, A.: From syntactic encodings to thematic roles : building lexical entries for interlingual MT (1994/95) 0.01
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Abstract

Aims to construct large scale lexicons for interlingual machine translation of English, Arabic, Korean, and Spanish. Describes techniques that predict salient linguistic features of a non English word using the features of its English gloss in a bilingual dictionary. While not exact, owing to inexact glosses and language to language variations, these techniques can augment an existing dictionary with reasonable accuracy, thus savionf significant time. Conducts 2 experiments that demonstrate the value of these techniques. The 1st tests the feasibility of building a database of thematic grids for over 6500 Arabic verbs based on a mapping between English glosses and the syntactic codes in Longman's Dictionary of Contemporary English. The 2nd experiment tested the automatic classification of verbs into a richer semantic typology from which a more refined set of thematic grids derived. While human intervention will always be necessary for the construction of a semantic classification from LODOCE such intervention is significantly minimized as more knowledge about the syntax semantics relation is introduced