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Lexical, structural, and semantic ambiguities in machine translation: explorations in parallel corpora

Grant number: 09/04345-7
Support type:Scholarships in Brazil - Master
Effective date (Start): September 01, 2009
Effective date (End): April 30, 2011
Field of knowledge:Linguistics, Literature and Arts - Linguistics - Linguistic Theory and Analysis
Principal researcher:Bento Carlos Dias da Silva
Grantee:Maria Paula Fiorim Piruzelli
Home Institution: Faculdade de Ciências e Letras (FCL). Universidade Estadual Paulista (UNESP). Campus de Araraquara. Araraquara , SP, Brazil

Abstract

Machine Translation, part of Natural Language Processing, gathers lots of research with the goal of automating translation by computers and enhancing its quality. Against this linguistic and technological backdrop and embracing similar goals, this research work focuses on the investigation of one of the most pervasive problems to be found in machine translation: word sense, structural and semantic ambiguities. To tackle each of these, the analysis of ambiguities of translation tokens from English to Portuguese is split into two complementary theoretical domains. In the linguistic domain, ambiguity patterns in English-Portuguese output pairs of sentence tokens from machine translation systems available on line will be studied with the help of both quality pairs of translation tokens from corpora and theoretical studies on lexical-grammars and lexical-conceptual structures. In the computational-linguistic domain, different machine translation disambiguation strategies will be reviewed to propose disambiguation heuristics.

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Academic Publications
(References retrieved automatically from State of São Paulo Research Institutions)
PIRUZELLI, Maria Paula Fiorim. As ambiguidades linguísticas no inglês e a tradução automática inglês-português: um estudo exploratório. 2011. Master's Dissertation - Universidade Estadual Paulista (Unesp). Faculdade de Ciências e Letras. Araraquara Araraquara.

Please report errors in scientific publications list by writing to: cdi@fapesp.br.