DocumentCode :
3122710
Title :
Improving Generation in Machine Translation by Separating Syntactic and Morphological Processes
Author :
Karamat, Nayyara ; Malik, Kamran ; Hussain, Sarmad
Author_Institution :
Center for Language Eng., Univ. of Eng. & Technol., Lahore, Pakistan
fYear :
2011
fDate :
19-21 Dec. 2011
Firstpage :
195
Lastpage :
200
Abstract :
This paper presents a generation approach in a Lexical Functional Grammar (LFG) based machine translation system that subdivides the generation process and uses rule based modules to solve the problem. The results show improvement in performance versus earlier work which generates the translation into Urdu using a single integrated process.
Keywords :
language translation; natural language processing; LFG; Urdu translation; integrated process; lexical functional grammar; machine translation generation; morphological processes; syntactic separation; Complexity theory; Computer aided software engineering; Computer architecture; Educational institutions; Generators; Grammar; Pragmatics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Frontiers of Information Technology (FIT), 2011
Conference_Location :
Islamabad
Print_ISBN :
978-1-4673-0209-8
Type :
conf
DOI :
10.1109/FIT.2011.43
Filename :
6137144
Link To Document :
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