Semantic Web Dog Food

Presented at: The Sixth International Language Resources and Evaluation Conference (LREC2008)

by Rajat Mohanty, Pushpak Bhattacharyya

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.

Keywords: Lexicon, lexical database, Machine Translation, SpeechToSpeech Translation, Semantics, Linguistics

Resource URI on the dog food server: http://data.semanticweb.org/conference/lrec/2008/papers/619

Explore this resource elsewhere:

• on Snorql
• on Sindice
• on dotAC Explorer