There has been a lot of recent interest in the natural language processing (NLP) community
in the computational processing of language varieties and dialects, with the aim to improve …

In this paper we examine the model of crowdsourcing for translation and compare it with
Machine Translation (MT). The large volume of material to be translated, the translation of …

This research begins by distinguishing a small number of “central” languages from the
“noncentral languages”, where centrality is measured by the extent to which a given …

IXA is a research group that has been working on language technology, mainly on Basque,
during the last 28 year. As a result of years of collaboration with the Basque community and …

Building machine translation systems for disadvantaged languages, which I will call minor
languages, poses a number of challenges whilst also opening the door to new opportunities …

This paper describes the development of two prototype systems for machine translation
between North Sámi and Lule Sámi. Experiments were conducted in rule-based machine …

Most successful machine translation systems built until now use proprietary software and
data, and are either distributed as commercial products or are accessible on the net with …

In this paper we examine the model of crowdsourcing for translation and compare it to
Machine Translation (MT). The large volume of material to be translated, the translation of …

Abstract apertium-cy (http://www. cymraeg. org. uk) is a rule-based “gisting” machine
translation system for Welsh to English, with both engine and data released under the GPL …

WordNet-like resources are lexical databases with highly relevance information and data
which could be exploited in more complex computational linguistics research and …