Rich Morphology Generation Using Statistical Machine Translation
Code (0)
등록된 구현이 없습니다.
Tasks
Language ModellingMachine TranslationText GenerationTranslationSimilar Papers 제목 키워드 기반
Morphology Generation for Statistical Machine Translation
When translating into morphologically rich languages, Statistical MT approaches face the problem of data sparsity. The severity of the sparseness problem will be high when the corpus size of morphologically richer langua…
Machine TranslationMORPHTranslationMorphology Generation for Statistical Machine Translation using Deep Learning Techniques
Morphology in unbalanced languages remains a big challenge in the context of machine translation. In this paper, we propose to de-couple machine translation from morphology generation in order to better deal with the pro…
ClassificationDeep LearningGender ClassificationGeneral Classification+2Morphological Constraints for Phrase Pivot Statistical Machine Translation
The lack of parallel data for many language pairs is an important challenge to statistical machine translation (SMT). One common solution is to pivot through a third language for which there exist parallel corpora with t…
Machine TranslationTranslationImproving 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…
Machine TranslationSentenceTranslationModeling Target-Side Morphology in Neural Machine Translation: A Comparison of Strategies
Morphologically rich languages pose difficulties to machine translation. Machine translation engines that rely on statistical learning from parallel training data, such as state-of-the-art neural systems, face challenges…
DecoderLEMMAMachine TranslationSentence+2