DocumentCode
3108901
Title
Sense disambiguation of simple prepositions in English to Kannada Machine Translation
Author
Parameswarappa, S. ; Narayana, V.N.
Author_Institution
Dept. of Comput. Sci. & Eng., Malnad Coll. of Eng., Hassan, India
fYear
2012
fDate
18-20 July 2012
Firstpage
203
Lastpage
208
Abstract
The preposition sense disambiguation is a critical task in any reliable Machine Translation (MT) system. The pervasive use of preposition or its equivalent in most of the languages makes it a crucial element during translation. Unlike English, there is no concept of preposition in Kannada. English prepositions are translated to Kannada by attaching appropriate inflections to the head noun of the prepositional phrase. Further post-positional words may also appear in Kannada translation for some prepositions. The choice of the appropriate post-positional word depends on the WordNet synset information of the head noun. The paper proposes an algorithm to disambiguate sense of a simple preposition in English to Kannada MT. It uses properties of the head noun and complement of the preposition for disambiguation. To the best of our knowledge, this is the first attempt towards introducing an algorithm to disambiguate sense of the preposition during English to Kannada MT. Experiments were conducted and the result obtained has been described. The performance of an algorithm is proved to be reliable and scalable.
Keywords
language translation; natural language processing; English; Kannada machine translation; MT; WordNet synset information; head noun; post-positional words; preposition sense disambiguation; prepositional phrase; simple prepositions; Algorithm design and analysis; Context; Dictionaries; Magnetic heads; Pragmatics; Reliability; Semantics; Dictionary; Kannada postpositions; Machine Translation; Prepositions; Rule file; WordNet;
fLanguage
English
Publisher
ieee
Conference_Titel
Data Science & Engineering (ICDSE), 2012 International Conference on
Conference_Location
Cochin, Kerala
Print_ISBN
978-1-4673-2148-8
Type
conf
DOI
10.1109/ICDSE.2012.6282320
Filename
6282320
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