Yukiko Sasaki Alam and Shahid Alam
Study of Syntactic Errors for Deep Parsing at Machine Translation
478 - 485
2017
11
2
International Journal of Cognitive and Language Sciences
https://publications.waset.org/pdf/10006612
https://publications.waset.org/vol/122
World Academy of Science, Engineering and Technology
Syntactic parsing is vital for semantic treatment by many applications related to natural language processing (NLP), because form and content coincide in many cases. However, it has not yet reached the levels of reliable performance. By manually examining and analyzing individual machine translation output errors that involve syntax as well as semantics, this study attempts to discover what is required for improving syntactic and semantic parsing.
Open Science Index 122, 2017