Predictive models of destinations represent an opportunity in the context of the increasing availability and sophistication of in-car driving aids. We present analyses of driversā...
We improve the quality of statistical machine translation (SMT) by applying models that predict word forms from their stems using extensive morphological and syntactic information...
This paper describes our work on Bengali Part of Speech (POS) tagging using a corpus-based approach. There are several approaches for part of speech tagging. This paper deals with ...
This paper describes a text normalization system for deletion-based abbreviations in informal text. We propose using statistical classiļ¬ers to learn the probability of deleting ...
We have studied the problem of linking event information across diļ¬erent languages without the use of translation systems or dictionaries. The linking is based on interlingua in...