In this paper, we present our work on the creation of lexical resources for the Machine Translation between English and Hindi. We describes the development of phrase pair mappings for our experiments and the comparative performance evaluation between different trained models on top of the baseline Statistical Machine Translation system. We focused on augmenting the parallel corpus with more voc...

During the last few years, extensive wordnets have been built locally for the Nordic and Baltic languages applying very different compilation strategies. The aim of the present investigation is to consolidate and examine these wordnets through an alignment via Princeton Core WordNet and thereby compare them along the measures of taxonomical structure, synonym structure, and assigned relations t...

In this paper we present the evaluation results for the creation of WordNets for five languages (Spanish, French, German, Italian and Portuguese) using an approach based on parallel corpora. We have used three very large parallel corpora for our experiments: DGT-TM, EMEA and ECB. The English part of each corpus is semantically tagged using Freeling and UKB. After this step, the process of WordN...

RÉSUMÉ. Ce travail décrit le processus de classification d’un ensemble d’adjectifs décrivant des traits de personnalité dans la liste des facettes de la taxonomie NEO PI-R, en relation avec le Modèle des Cinq Facteurs (FFM– Five Factor Model). Le processus de classification est fondé sur des mots-la sémantique lexicale exprimée par les couples ‘synset-gloses’ attachés aux motsadjectifs dans la ...

Machine Translation is a task to translate the text from a source language to a target language in an automatic manner. Here, we describe a system that translate the English language to Assamese language text which is based on Phrase based statistical translation technique. To overcome the translation problem related with highly open word class like Proper Noun or the Out Of Vocabulary words we...

Recently, bag of spatio-temporal local features based methods have received significant attention in human action recognition. However, it remains a big challenge to overcome intra-class variations in cases of viewpoint, geometric and illumination variance. In this paper we present Bag of Spatiotemporal Synonym Sets (ST-SynSets) to represent human actions, which can partially bridge the semanti...

WordNet is an online lexical resource which expresses unique concepts in a language. English WordNet is the first WordNet which was developed at Princeton University. Over a period of time, many language WordNets were developed by various organizations all over the world. It has always been a challenge to store the WordNet data. Some WordNets are stored using file system and some WordNets are s...

This paper presents a general methodology to mapping EuroWordNets (Vossen, 1998) to the Suggested Upper Merged Ontology (SUMO; (Niles and Pease, 2001)), and we show its application to the French EuroWordNet. The process makes use of existing work on mapping Princeton WordNet (Fellbaum, 1998) to SUMO (Niles and Pease, 2003). After a general discussion of the usefulness of our approach, we provid...

Representations in WordNet are not on the level of individual words or word forms, but on the level of word meanings (lexemes). A word meaning, in turn, is characterized by simply listing the word forms that can be used to express it in a synonym set (synset). As a result, the meaning a word in WordNet is determined by its sets of synonyms. This is essentially a recursive definition of word mea...

WoNeF, an improved, extended and evaluated automatic French translation of WordNet Identifying the various possible meanings of each word of the vocabulary is a difficult problem that requires a lot of manual work. It has been tackled by the WordNet lexical semantics database in English, but there are still few resources available for other languages. Automatic translations of WordNet have been...