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 …

Due to idiosyncrasies in their syntax, semantics or frequency, Multiword Expressions
(MWEs) have received special attention from the NLP community, as the methods and …

The treatment of multiword expressions (MWEs), like take off, bus stop and big deal, is a
challenge for NLP applications. This kind of linguistic construction is not only arbitrary but …

The principles of computer skills have been included in primary and secondary educated
since the early 2000s, and the reform of curricula is related to the development of IT …

Term translation is of great importance for machine translation. In this article, we investigate
three issues of term translation in the context of statistical machine translation and propose …

Abstract Multiword Expressions (MWEs) are one of the stumbling blocks for more precise
Natural Language Processing (NLP) systems. Particularly, the lack of coverage of MWEs in …

The theoretical characterisation of multiword expressions (MWEs) is tightly connected to
their actual occurrences in data and to their representation in lexical resources. We present …

The issue of internal variability of multiword expressions (MWEs) is crucial towards their
identification and extraction in running text. We present a corpus-supported and …

Multiword expressions (MWEs) present particular and distinctive semantic properties, hence
their automatic extraction receives special attention from the natural language processing …

We propose a hybrid approach for bilingual multiword expression extraction. There are two
phases in the extraction process. In the first phase, lots of candidates are extracted from the …