This paper addresses the impact of multiword translation errors in machine translation (MT).
We have analysed translations of multiwords in the OpenLogos rule-based system (RBMT) …

Extracting relevant information in multilingual context from massive amounts of unstructured,
structured and semi-structured data is a challenging task. Various theories have been …

The translation of Multiword expressions (MWE) by Machine Translation (MT) represents a
big challenge, and although MT has considerably improved in recent years, MWE …

In the last years important initiatives, like the development of the European Library and
Europeana, aim to increase the availability of cultural content from various types of providers …

Using linguistic data, related to phrases and parts of speech (POS) information, could
improve decision-making performances. This paper presents an ongoing research that aims …

Due to the formal variability and the irregular behaviour of MWEs on different levels of
linguistic description, they are a potential source of errors for many NLP applications, eg …

This paper proposes a methodological approach to CLIR applications for the development
of a system which improves multi-word processing when specific domain translation is …

This paper describes a computational linguistics-based approach for providing
interoperability between multi-lingual systems in order to overcome crucial issues like cross …

Multiword expressions (MWEs) represent one of the major challenges for all Natural
Language Processing (NLP) applications and in particular for Machine Translation (MT)(Sag …

The phenomenon of multiword expressions (MWEs) is increasingly recognised as a serious
and challenging issue that has attracted the attention of researchers in various language …