| Revista: | Computación y Sistemas |
| Base de datos: | PERIÓDICA |
| Número de sistema: | 000423296 |
| ISSN: | 1405-5546 |
| Autores: | Tripathi, Samiksha1 Kansal, Vineet1 |
| Instituciones: | 1AKTU, Lucknow, Uttar Pradesh. India |
| Año: | 2017 |
| 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 |
| Texto completo: | Texto completo (Ver HTML) Texto completo (Ver PDF) |
