137 research outputs found
Voted Approach for Part of Speech Tagging in Bengali
PACLIC 23 / City University of Hong Kong / 3-5 December 200
Part of Speech Tagging of Marathi Text Using Trigram Method
In this paper we present a Marathi part of speech tagger. It is a morphologically rich language. It is spoken by the native people of Maharashtra. The general approach used for development of tagger is statistical using trigram Method. The main concept of trigram is to explore the most likely POS for a token based on given information of previous two tags by calculating probabilities to determine which is the best sequence of a tag. In this paper we show the development of the tagger. Moreover we have also shown the evaluation done
Multi-Engine Approach for Named Entity Recognition in Bengali
PACLIC / The University of the Philippines Visayas Cebu College Cebu City, Philippines / November 20-22, 200
Satellite Workshop On Language, Artificial Intelligence and Computer Science for Natural Language Processing Applications (LAICS-NLP): Discovery of Meaning from Text
This paper proposes a novel method to disambiguate important words from a collection of documents. The
hypothesis that underlies this approach is that there is a
minimal set of senses that are significant in characterizing a context. We extend Yarowsky’s one sense
per discourse [13] further to a collection of related
documents rather than a single document. We perform
distributed clustering on a set of features representing
each of the top ten categories of documents in the
Reuters-21578 dataset. Groups of terms that have a
similar term distributional pattern across documents were
identified. WordNet-based similarity measurement was
then computed for terms within each cluster. An
aggregation of the associations in WordNet that was
employed to ascertain term similarity within clusters has
provided a means of identifying clusters’ root senses
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