Unknown words are inevitable at any step of analysis in natural language processing. Wc propose a method to extract words from a corl)us and estimate the probability that each wor...
This paper presents a new model for word alignments between parallel sentences, which allows one to accurately estimate different parameters, in a computationally efficient way. A...
Abstract. The paper proposes a method to improve the extraction of lowfrequency translation equivalents from comparable corpora. Prior to performing the mapping between vector spac...
Viktor Pekar, Ruslan Mitkov, Dimitar Blagoev, Andr...
This paper proposes a learning and extracting method of word sequence correspondences from non-aligned parallel corpora with Support Vector Machines, which have high ability of th...
Like most natural language disambiguation tasks, word sense disambiguation (WSD) requires world knowledge for accurate predictions. Several proxies for this knowledge have been in...