Publications

Natural language call classification can be performed using a latent semantic indexing (LSI) matrix, a popular vector-space model used in information retrieval.

In this paper, we show how discriminative training can be used to improve classifiers used in natural language processing, using as an example the task of natural language call routing.

In this paper we describe how discriminative training can be applied to language models for speech recognition.

This paper shows how discriminative training can significantly improve classifiers used in natural language processing, using as an example the task of natural language call routing, where callers

Fibre-to-the-premises (FTTP) has been long sought as the ultimate solution to satisfy the demand for broadband access in the foreseeable future, and offer distance-independent data rate within acce

We discuss magnetic excitations of a spin-cluster model which has been suggested to describe the low temperature phase of alpha' -NaV sub 2 O sub 5.

This is a discussion of the papers `Personal Computers and Presentation of XLISP-STAT` (L. Tierney), 'Large Scale Computers and Parallel Processing` (T.Havranek and Z.

We have identified some important and worthwhile physics opportunities with a possible neutrino detector located in India.

It is possible to increase the signal-to-noise ratio (SNR) of radio-frequency optical links by a factor of N by combining the light of N individual lasers.

This paper studies the possible improvement in RF link properties that can stem from electrically cascading several laser sources and combining the light from each source into a single information-