Title |
Lexical Resources for Semantics Extraction |
Authors |
Rajat Mohanty and Pushpak Bhattacharyya |
Abstract |
In this paper, we report our work on the creation of a number of lexical resources that are crucial for an interlingua based MT from English to other languages. These lexical resources are in the form of sub-categorization frames, verb knowledge bases and rule templates for establishing semantic relations and speech act like attributes. We have created these resources over a long period of time from Oxford Advanced Learners Dictionary (OALD) [1], VerbNet [2], Princeton WordNet 2.1 [3], LCS database [4], Penn Tree Bank [5], and XTAG lexicon [6]. On the challenging problem of generating interlingua from domain and structure unrestricted English sentences, we are able to demonstrate that the use of these lexical resources makes a difference in terms of accuracy figures. |
Language |
Single language |
Topics |
Lexicon, lexical database, Machine Translation, SpeechToSpeech Translation, Semantics |
Full paper |
Lexical Resources for Semantics Extraction |
Slides |
- |
Bibtex |
@InProceedings{MOHANTY08.619,
author = {Rajat Mohanty and Pushpak Bhattacharyya},
title = {Lexical Resources for Semantics Extraction},
booktitle = {Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC'08)},
year = {2008},
month = {may},
date = {28-30},
address = {Marrakech, Morocco},
editor = {Nicoletta Calzolari (Conference Chair), Khalid Choukri, Bente Maegaard, Joseph Mariani, Jan Odijk, Stelios Piperidis, Daniel Tapias},
publisher = {European Language Resources Association (ELRA)},
isbn = {2-9517408-4-0},
note = {http://www.lrec-conf.org/proceedings/lrec2008/},
language = {english}
} |