The present article provides a comprehensive review of the work carried out on developing
PRESEMT, a hybrid language-independent machine translation (MT) methodology. This …

The paper describes a method for identifying and translating multiword expressions using a
bi-directional dictionary. While a dictionarybased approach suffers from limited recall …

This communication focuses on comparing the template-matching technique to established
probabilistic approaches–such as conditional random fields (CRF)–on a specific linguistic …

The present article focuses on improving the performance of a hybrid Machine Translation
(MT) system, namely PRESEMT. The PRESEMT methodology is readily portable to new …

We explore the use of unsupervised methods in Cross-Lingual Word Sense Disambiguation
(CL-WSD) with the application of English to Persian. Our proposed approach targets the …

The present chapter reviews the development of a hybrid Machine Translation (MT)
methodology, which is readily portable to new language pairs. This MT methodology (which …

The present article investigates the fusion of different language models to improve
translation accuracy. A hybrid MT system, recentlydeveloped in the European …

The present article reports on efforts to improve the translation accuracy of a corpus–based
hybrid MT system developed using the PRESEMT methodology. This methodology operates …

Semantics in language is a fundamental aspect of human cognition and in great extent
defines our understanding and knowledge. Word representation methods suggest a …

The topic of the current chapter is the evaluation of the performance of PRESEMT both per
se as well as in comparison with other MT systems, the performance relating to the …