In today's global scenario, frequent international and domestic interactions necessitate the
application of Machine Transliteration and Translation systems to overcome the language …

In this paper, we present a method to make personalized recommendations when user
preferences change over time. Most of the works in the recommender systems literature …

Technology has revolutionized the field of translation, bringing drastic changes to the way
translation is studied and done. To an average user, technology is simply about clicking …

This article introduces a methodological approach for analysing time series data from
multiple sensors in order to estimate home occupancy. The approach combines the …

Mixture modelling is a standard technique for density estimation, but its use in statistical
machine translation (SMT) has just started to be explored. One of the main advantages of …

A number of projects are creating searchable digital libraries of printed books. These include
the Million Book Project, the Google Book project and similar efforts from Yahoo and …

We introduce a novel discriminative model for phrase-based monolingual alignment using a
semi-Markov CRF. Our model achieves stateof-the-art alignment accuracy on two …

A generative statistical model of speech-to-text translation is developed as an extension of
existing models of phrase-based text translation. Speech is translated by map** ASR …

Word alignment is the problem of annotating parallel text with translational correspondence.
Previous generative word alignment models have made structural assumptions such as the …

In this paper, we present a Bayesian Learning based method to train word dependent
transition models for HMM based word alignment. We present word alignment results on the …