DocumentCode
545480
Title
Words to phrase reordering machine translation system in Myanmar-English using English grammar rules
Author
Win, Aye Thida
Author_Institution
Univ. of Comput. Studies, Mandalay, Myanmar
Volume
3
fYear
2011
fDate
11-13 March 2011
Firstpage
50
Lastpage
53
Abstract
In machine translation (MT), one of the main problems to handle is word reordering. This paper focuses to design and implement an effective machine translation system for Myanmar to English language.. The framework of this paper is reordering approach for English sentence. We propose an approach to generate the target sentence by using reordering model that can be incorporated into the Statistical Machine Translation (SMTS). Myanmar sentence and English sentence are not semantic. In this paper, we present Myanmar to English translation system that is our ongoing research. Input process, tokenization, segmentation, translation and English sentence generation include in this system. In this paper, we describe about the English sentence generation. The aim of this paper is to reassemble the English word into proper sentence. The resulted raw sentence from translation process is reassembling to form the English sentence. Subject/verb agreement process, article checking process and tense adjustment process will also be performed according to the English grammar rules. The English sentence generation is proper for Myanmar to English translation system.
Keywords
grammars; language translation; natural language processing; English grammar rules; English sentence generation; Myanmar to English language translation; article checking process; statistical machine translation; subject/verb agreement process; tense adjustment process; words to phrase reordering machine translation system; Algorithm design and analysis; Barium; Computers; Engines; Grammar; Pragmatics; Semantics; Machine Translation System; NLP; Reordering Model;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Research and Development (ICCRD), 2011 3rd International Conference on
Conference_Location
Shanghai
Print_ISBN
978-1-61284-839-6
Type
conf
DOI
10.1109/ICCRD.2011.5764243
Filename
5764243
Link To Document