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