| Revue: | Computación y sistemas |
| Base de datos: | PERIÓDICA |
| Número de sistema: | 000411081 |
| ISSN: | 1405-5546 |
| Autores: | Mi, Chenggang1 Yang, Yating1 Zhou, Xi1 Wang, Lei1 Li, Xiao1 Jiang, Tonghai1 |
| Instituciones: | 1Chinese Academy of Science, Xinxiang Technical Institute of Physics & Chemistry, Xinxiang, Henan. China |
| Año: | 2016 |
| Periodo: | Jul-Sep |
| Volumen: | 20 |
| Número: | 3 |
| Paginación: | 541-549 |
| País: | México |
| Idioma: | Inglés |
| Tipo de documento: | Artículo |
| Enfoque: | Experimental, aplicado |
| Resumen en inglés | Learning to pronounce Chinese characters is usually considered as a very hard part to foreigners to study Chinese. At beginning, Chinese learners must bear in mind thousands of Chinese characters, including their pronunciation, meanings, Bishun (order of strokes) etc., which is very time consuming and boring. In this paper, we proposed a novel method based on translation model to predict the Chinese character pronunciation automatically. We first convert each Chinese character into Bishun, then, we train the pronunciation prediction model (translation model) according to Bishun and their correspondence Pinyin sequences. To make our model practically, we also introduced some error tolerant strategies. Experimental results show that our method can predict the pronunciation of Chinese characters effectively |
| Disciplinas: | Ciencias de la computación, Literatura y lingüística |
| Palabras clave: | Procesamiento de datos, Lingüística aplicada, Lingüística computacional, Modelos de traducción, Pronunciación |
| Keyword: | Computer science, Literature and linguistics, Data processing, Applied linguistics, Computing linguistics, Translation models, Pronunciation |
| Texte intégral: | Texto completo (Ver HTML) |
