Context Based Machine Translation With Recurrent Neural Network for English - Amharic Translation

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dc.contributor.advisorSurafel, Lemma (PhD)
dc.contributor.authorYeabsira, Asefa
dc.date.accessioned2020-10-09T10:03:28Z
dc.date.accessioned2023-11-04T15:14:41Z
dc.date.available2020-10-09T10:03:28Z
dc.date.available2023-11-04T15:14:41Z
dc.date.issued2020-02
dc.description.abstractThe quote from Rev. Jesse Jackson, \A text without a context is a pretext", summarizes the reasoning behind this thesis. Capturing context in translating between two human languages using computing machines is challenging. It is more challenging when the languages di er greatly in grammar and have small parallel corpus like the English-Amharic pair. The current approaches for English-Amharic machine translation usually require large set of parallel corpus in order to achieve uency as in the case of statistical machine translation (SMT) and example based machine translation (EBMT). The context awareness of phrase based machine translation (PBMT) approaches used for the pair so far are also questionable. This research develops a system that translates English text to Amharic text using a combination of context based machine translation (CBMT) and a recurrent neural network machine translation (RNNMT). We built a bilingual dictionary for the CBMT system to use along with a target corpus. The RNNMT model has then been provided with the output of the CBMT and a parallel corpus for training. The proposed approach is evaluated using the New Testament Bible as a corpus. The result shows that the combinational approach on English-Amharic language pair yields a performance improvement of 2.805 BLEU scores on average over basic neural machine translation(NMT).en_US
dc.identifier.urihttp://etd.aau.edu.et/handle/123456789/22639
dc.language.isoen_USen_US
dc.publisherAddis Ababa Universityen_US
dc.subjectMachine Translationen_US
dc.subjectcontext based machine translationen_US
dc.subjectEnglish to Amharic translationen_US
dc.subjectrecurrent neural network machine translationen_US
dc.subjectcontext based machine translation with neural network machine translationen_US
dc.titleContext Based Machine Translation With Recurrent Neural Network for English - Amharic Translationen_US
dc.typeThesisen_US

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