Publication - Language-independent hybrid MT with PRESEMT

Language-independent hybrid MT with PRESEMT

Research Area:  
Other topics in Linguistics
In Proceedings


Year: 2013
Authors: George Tambouratzis; Sokratis Sofianopoulos; Marina Vassiliou
Book title: Proceedings of HYTRA-2013 Workshop, held within the ACL-2013 Conference
Pages: 123-130
Address: Sofia, Bulgaria
Organization: ACL
ISBN: 978-1-937284-53-4
The present article provides a comprehensive review of the work carried out on developing PRESEMT, a hybrid language-independent machine translation (MT) methodology. This methodology has been designed to facilitate rapid creation of MT systems for unconstrained language pairs, setting the lowest possible requirements on specialised resources and tools. Given the limited availability of resources for many languages, only a very small bilingual corpus is required, while language modelling is performed by sampling a large target language (TL) monolingual corpus. The article summarises implementation decisions, using the Greek-English language pair as a test case. Evaluation results are reported, for both objective and subjective metrics. Finally, main error sources are identified and directions are described to improve this hybrid MT methodology.