MODIFICATION OF TERM SENSE EMBEDDINGS REGARDING WORD-SENSE DISAMBIGUATION

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MODIFICATION OF TERM SENSE EMBEDDINGS REGARDING WORD-SENSE DISAMBIGUATION

Journal Title: Одеський лінгвістичний вісник - Year 2018, Vol 11, Issue

Abstract

This paper proposes a context-based mechanism which makes it possible to approach the solution of word sense disambiguation with respect to the subject domain of speechology (spoken language sciences). Special meanings4 of terms are decomposed into a multidimensional vector space of context words. Hereafter, on the basis of this expansion the program computes the a posteriori probability that the target term in a particular sentence is used with a special meaning. The proposed mechanism can be integrated into the pre-editing module of the Machine Translation system (MT). This article suggests a mechanism for increasing the significance of context words for more accurate determination of meaning of an ambiguous term. This mechanism consists in modifying the coordinates of vector representation of term meaning which correspond to the most significant context words. Criteria for text analysis of speechology will be (1) preciseness of speechology concepts and their definition, explanation, circumscription, etc.; (2) exactness and consistent use of speechology terminology; (3) indicators of a possible merger between object language and metalanguage in microstructure studies referring to the text under analysis; (4) macrostructure of the given text form. The formula for calculating the probability that a term has a special meaning is derived on the assumption that event s has already occurred. As a perspective, it is necessary to empirically calculate the most optimal value of the "importance weight" as well as the threshold for classification model.

Authors and Affiliations

Rodmonga Potapova, Ksenia Oskina, Vsevolod Potapov

Keywords

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EP ID EP503737
DOI -
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