Title :
A phrase-based approach based on morphological information for Japanese-Uighur statistical machine translation system
Author :
Nimaiti, Maimitili ; Izumi, Yamamoto
Author_Institution :
Nagoya Inst. of Technol., Nagoya, Japan
Abstract :
Japanese and Uighur language has many similarities. Uighur language belongs to Altaic language branch of Turkic language, the statistical translation approach of Japanese Uighur language in machine translation system is a blank. This paper analyses the approach of statistical machine translation system in Uighur language, discusses how to establishing of dictionary and parallel corpus and phrase based statistical machine translation system based on linguistic rules for Uighur language, and it presents the method of statistical machine translation system based on morphological information of Uighur, the rule base and the dictionary.
Keywords :
computational linguistics; dictionaries; language translation; natural language processing; statistical analysis; Altaic language; Japanese language; Japanese-Uighur statistical machine translation system; Turkic language; Uighur language; dictionary; morphological information; parallel corpus; phrase based statistical machine translation system; phrase-based approach; statistical translation approach; Abstracts; Analytical models; Natural languages; Pragmatics; Statistical machine translation (SMT); Uighur lexicon;
Conference_Titel :
Cognitive Informatics & Cognitive Computing (ICCI*CC), 2013 12th IEEE International Conference on
Conference_Location :
New York, NY
Print_ISBN :
978-1-4799-0781-6
DOI :
10.1109/ICCI-CC.2013.6622235
