Title :
Injected linguistic tags to improve phrase based SMT
Author :
Oransa, Waleed ; Kouta, Mohamed ; Sakre, Mohammed
Author_Institution :
Coll. of Comput. & Inf. Technol., Arab Acad. for Sci. & Technol., Cairo, Egypt
Abstract :
This paper presents Injected Tags (ITs) approach, that improves the phrase based statistical machine translation (PBSMT) approach. This Injected Tags approach has been applied to ¿English into Arabic translation¿. This approach is language independent and can be used with any language pair. It has shown considerable improvement of the translation quality of at least 13% increase of BLEU score. The approach has been evaluated and has been compared with several online Machine Translation (MT) services. The experiments reveal that the results achieved by this approach considered significant enhancements over PBSMT.
Keywords :
language translation; natural language processing; statistical analysis; English-Arabic translation; injected linguistic tags; machine translation service; phrase based statistical machine translation; Educational institutions; Employment; Information systems; Information technology; Interpolation; Morphology; Natural languages; Scalability; Surface-mount technology; Tagging; PBSMT; Phrase Based Machine Translation; SMT Approach; Statistical Machine Translation;
Conference_Titel :
Computer and Automation Engineering (ICCAE), 2010 The 2nd International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-5585-0
Electronic_ISBN :
978-1-4244-5586-7
DOI :
10.1109/ICCAE.2010.5451681
