Using Linguistic Knowledge for Machine Translation Evaluation with Hindi as a Target Language
Título del documento: Using Linguistic Knowledge for Machine Translation Evaluation with Hindi as a Target Language
Revue: Computación y Sistemas
Base de datos: PERIÓDICA
Número de sistema: 000423296
ISSN: 1405-5546
Autores: 1
1
Instituciones: 1AKTU, Lucknow, Uttar Pradesh. India
Año:
Periodo: Oct-Dic
Volumen: 21
Número: 4
País: México
Idioma: Inglés
Tipo de documento: Artículo
Enfoque: Aplicado, descriptivo
Resumen en inglés Several proposed metrics of MT Evaluation like BLEU have been criticized for their poor performance in evaluating machine translations. Languages like Hindi which have relatively free word-order and are morphologically rich pose additional problems in such evaluation. We attempt here to make use of linguistic knowledge to evaluate machine translations with Hindi as a target language. We formulate the problem of MT Evaluation as minimum cost assignment problem between test and reference translations with cost function based on linguistic knowledge
Disciplinas: Ciencias de la computación,
Literatura y lingüística
Palabras clave: Lingüística aplicada,
Traducción automática,
Acoplamiento de palabras,
Función de costo
Keyword: Applied linguistics,
Machine translation,
Word matching,
Cost function
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