In this paper, we propose a new stochastic language model that integrates local and global constraints effectively and describe a speechrecognition system basedon it. Theproposedl...
This paper describes our work on building Part-of-Speech (POS) tagger for Bengali. We have use Hidden Markov Model (HMM) and Maximum Entropy (ME) based stochastic taggers. Bengali...
We present a system for quickly and cheaply building transcribed speech corpora containing utterances from many speakers in a variety of acoustic conditions. The system consists o...
Thad Hughes, Kaisuke Nakajima, Linne Ha, Atul Vasu...
Work on agent communication languages has since long striven to achieve adequate speech act semantics; partly, the problem is that references to an agent’s architecture (in parti...
Research on agent communication languages has typically taken the speech acts paradigm as its starting point. Despite their manifest attractions, speech-act models of communicatio...