Exploiting Bishun to Predict the Pronunciation of Chinese



Document title: Exploiting Bishun to Predict the Pronunciation of Chinese
Journal: Computación y sistemas
Database: PERIÓDICA
System number: 000411081
ISSN: 1405-5546
Authors: 1
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Institutions: 1Chinese Academy of Science, Xinxiang Technical Institute of Physics & Chemistry, Xinxiang, Henan. China
Year:
Season: Jul-Sep
Volumen: 20
Number: 3
Pages: 541-549
Country: México
Language: Inglés
Document type: Artículo
Approach: Experimental, aplicado
English abstract 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
Disciplines: Ciencias de la computación,
Literatura y lingüística
Keyword: 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
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