Monolingual Corpusbased MT using Chunks

In the present article, a hybrid approach is pro-posed for implementing a machine translation system using a large monolingual corpus cou-pled with a bilingual lexicon and basic NLP tools. In the first phase of the METIS system, a source language (SL) sentence, after being tagged, lemmatised and translated by a flat lemma-to-lemma lexicon, was matched against a tagged and lemmatised target language (TL) corpus using a pattern matching algorithm. In the second phase, translations are generated by combining sub-sentential structures. In this pa-per, the main features of the second phase are discussed while the system architecture and the corresponding translation approach are pre-sented. The proposed methodology is illustrated with examples of the translation process