Better Statistical Machine Translation through Linguistic Treatment of Phrasal Verbs

Improving the Performance of English-Tamil Statistical Machine Translation System using Source-Side Pre-Processing

Machine Translation is one of the major oldest and the most active research area in Natural Language Processing. Currently, Statistical Machine Translation (SMT) dominates the Machine Translation research. Statistical Ma…

Linguistic Evaluation of Support Verb Constructions by OpenLogos and Google Translate

This paper presents a systematic human evaluation of translations of English support verb constructions produced by a rule-based machine translation (RBMT) system (OpenLogos) and a statistical machine translation (SMT) s…

Exploiting Linguistic Resources for Neural Machine Translation Using Multi-task Learning

Linguistic resources such as part-of-speech (POS) tags have been extensively used in statistical machine translation (SMT) frameworks and have yielded better performances. However, usage of such linguistic annotations in…

Linguistically-Augmented Bulgarian-to-English Statistical Machine Translation Model

Gender Bias in Machine Translation and The Era of Large Language Models

This chapter examines the role of Machine Translation in perpetuating gender bias, highlighting the challenges posed by cross-linguistic settings and statistical dependencies. A comprehensive overview of relevant existin…