ProgramsView all programs
From the news
- Chancellor Amma Addresses the Parliament of World’s Religions
- Amrita Students Qualify for the European Mars Rover Challenge
Publication Type : Conference Paper
Publisher : Procedia Computer Science
Source : Procedia Computer Science, Elsevier, Bangalore; India (2015)
Campus : Coimbatore
School : School of Engineering
Center : Computational Engineering and Networking
Department : Electronics and Communication
Year : 2015
Abstract : This paper presents a supervised prepositional ambiguity resolution method for machine translation models in which the target language is Tamil and source language is English. We restrict our transfer ambiguity resolution problem with few prepositions only. This resolution method is based on supervised models which exploit collocation occurrences and linguistic information as features. This attempt will rectify the challenges in handling prepositions in English to Tamil automatic translation system. The preliminary results obtained from the evaluation shows that the proposed method is suitable for preposition resolution problem. © 2015 The Authors.
Cite this Research Publication : M. A. Kumar, S. Rajendran, and Dr. Soman K. P., “Cross-Lingual Preposition Disambiguation for Machine Translation”, in Procedia Computer Science, Bangalore; India, 2015.