Deciphering Foreign Language Page 1 Proceedings of the 49th Annual Meeting of the
Association for Computational Linguistics, pages 12–21, Portland, Oregon, June 19-24, 2011 …

Asking the right question in the right way is an art (and a science). In a community question-
answering setting, a good question is not just one that is found to be useful by other people …

This paper presents a new method for automatically assessing the speech intelligibility of
patients with dysarthria, which is a motor speech disorder impeding the physical production …

Many semantic parsing models use tree transformations to map between natural language
and meaning representation. However, while tree transformations are central to several …

We introduce neural finite state transducers (NFSTs), a family of string transduction models
defining joint and conditional probability distributions over pairs of strings. The probability of …

We introduce a novel Bayesian approach for deciphering complex substitution ciphers. Our
method uses a decipherment model which combines information from letter n-gram …

Breaking domain names such as openresearch into component words open and research is
important for applications like Text-to-Speech synthesis and web search. We link this …

In this work, we compare the translation performance of word alignments obtained via
Bayesian inference to those obtained via expectation-maximization (EM). We propose a …

Abstract Background Electronic Health Records (EHRs) are written using spontaneous
natural language. Often, terms do not match standard terminology like the one available …

We present a Bayesian approach to word alignment inference in IBM Models 1 and 2. In the
original approach, word translation probabilities (ie, model parameters) are estimated using …