We present an unsupervised model for joint phrase alignment and extraction using nonparametric Bayesian methods and inversion transduction grammars (ITGs). The key contribution is...
Graham Neubig, Taro Watanabe, Eiichiro Sumita, Shi...
This paper describes a novel approach towards the empirical approximation of discourse relations between different utterances in texts. Following the idea that every pair of event...
We present a method for improving word alignment for statistical syntax-based machine translation that employs a syntactically informed alignment model closer to the translation m...
We propose a principled and efficient phraseto-phrase alignment model, useful in machine translation as well as other related natural language processing problems. In a hidden se...
In this article, we are studying the differences between the European languages using statistical and unsupervised methods. The analysis is conducted in different levels of languag...
Kimmo Kettunen, Markus Sadeniemi, Tiina Lindh-Knuu...