Apertium is a free/open-source platform for rule-based machine translation. It is being widely
used to build machine translation systems for a variety of language pairs, especially in those …

Can we automatically compose a large set of Wiktionaries and translation dictionaries to
yield a massive, multilingual dictionary whose coverage is substantially greater than that of …

This paper introduces a novel approach to the task of lexical translation between languages
for which no translation dictionaries are available. We build a massive translation graph …

Large amounts of training data are essential for training statistical machine translations
systems. In this paper we show how training data can be expanded by paraphrasing one …

We describe basic concepts and software architectures for the integration of shallow and
deep (linguistics-based, semantics-oriented) natural language processing (NLP) …

This is the latest addition to a group of handbooks covering the field of morphology,
alongside The Oxford Handbook of Case (2008), The Oxford Handbook of Compounding …

This paper summarizes ongoing efforts to provide software infrastructure (and methodology)
for open-source machine translation that combines a deep semantic transfer approach with …

We present a novel approach to Computer Assisted Language Learning (CALL), using deep
syntactic parsers and semantic based machine translation (MT) in diagnosing and providing …

System, is a new “post-Montagovian”[15][17] theory concerning the formal interpretation of
sentences constituting coherent discourses [9], with a lifelong model[1] of lexical …

This paper describes the creation of an innovative and highly parallel treebank of three
languages from different language groups—English, Portuguese and Bulgarian. The …