Paper Info
Title
A semantic-tended approach to recombination in EBMT systems
Abstract
In this paper a semantic-tended approach for recombination in EBMT systems is presented. The proposed method uses the least structural information of a sentence. The shared verbs stem between the sentences is the key to find the differences of two sentences. The differences between the input sentence and the matched example sentence are minimized by substituting the translations of their different parts to produce the output. This method is implemented in an EBMT system for English-Farsi language pairs. The results of the proposed method are benchmarked with Google translator. The results are promising based on BLEU and manual evaluations.
Year
DOI
Venue
2011
10.1109/NLPKE.2011.6138205
NLPKE
Keywords
DocType
ISBN
sentence shared verb stem,bleu,machine translation,example-based machine translation,ebmt system,language translation,farsi language,least structural information,recombination,google translator,natural language processing,text analysis,semantic-tended approach,english-farsi language pair,example based machine translation
Conference
978-1-61284-729-0
Citations 
PageRank 
References 
0
0.34
6
Authors
1
Name
Order
Citations
PageRank
Mehdi Mohammadi1109150.02