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Sense disambiguation of English simple prepositions in the context of English-Hindi machine translation system

Publication Type : Book Chapter

Thematic Areas : Center for Computational Engineering and Networking (CEN)

Publisher : Springer Singapore

Source : Knowledge Computing and Its Applications: Knowledge Manipulation and Processing Techniques: Volume 1, Springer Singapore, p.245-268 (2018)

Url : https://www.scopus.com/inward/record.uri?eid=2-s2.0-85046595779&doi=10.1007%2f978-981-10-6680-1_13&partnerID=40&md5=a305554209ae5b9bd2288baee0dc9a58

ISBN : 9789811066801

Campus : Coimbatore

School : School of Engineering

Center : Computational Engineering and Networking

Department : Center for Computational Engineering and Networking (CEN), Computer Science, Electronics and Communication

Year : 2018

Abstract : In the context of developing a Machine Translation System, the identification of the correct sense of each and every word in the document to be translated is extremely important. Adpositons play a vital role in the determination of the sense of a particular word in a sentence as they link NPs with the VPs. In the context of developing English to Hindi Machine Translation system, the transfer of the senses of each Preposition into the target langue needs done with much attention. The linguistic and grammatical role of a preposition is to express a variety of syntactic and semantic relationships between nouns, verbs, adjectives, and adverbs. Here we have selected the most important and most frequently used English simple prepositions such as ‘at’, ‘by’, ‘from’, ‘for’, ‘in’, ‘of’, ‘on’, ‘to’ and ‘with’ for the sake of contrast. A supervised machine learning approach called Support Vector Machine (SVM) is used for disambiguating the senses of the simple preposition ‘at’ in contrast with Hindi postpositions. © Springer Nature Singapore Pte Ltd. 2018.

Cite this Research Publication : D. Jyothi Ratnam, Dr. M. Anand Kumar, B. Premjith, Dr. Soman K. P., and S. Rajendran, Sense disambiguation of English simple prepositions in the context of English-Hindi machine translation system. Springer Singapore, 2018, pp. 245-268.

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