We present a sub-sentential alignment method that extracts high quality multi-word
alignments from sentence-aligned multilingual parallel corpora. Unlike other methods, it …

The rapid development of language resources and tools using machine learning techniques
for less computerized languages requires appropriately tagged corpus. A tagged Bengali …

This paper describes the philosophy behind our tool called" Legal Taxonomy Syllabus", the
analytical instruments it provides and some case studies. The Legal Taxonomy Syllabus is …

The paper reports on a series of experiments conducted in order to test the feasibility of
automatically generating synsets for Slovene wordnet. The resources used were the …

The goal of this paper is to show that, contrary to preconceived ideas, one can efficiently
take advantage of low frequency words in natural language processing. We put them to use …

The rapid development of language tools using machine learning techniques for less
computerized languages requires appropriately tagged corpus. A Bengali news corpus has …

In order to manage the conceptual representation of European law we have proposed the
Legal Taxonomy Syllabus (LTS) and the related methodology. In this paper we consider …

This research is concerned with the detection of similar academic papers. Given a tested
paper from a given corpus of 10,099 peer-reviewed scientific papers, a two-stage process …

Current techniques in word alignment disregard words with a low frequency because they
would not be useful. Against this belief, this paper shows that, in particular, the notion of …

This paper describes a new alignment method that extracts high quality multi-word
alignments from sentence-aligned multilingual parallel corpora. The method can handle …