TY - JFULL AU - Yukiko Sasaki Alam and Shahid Alam PY - 2017/3/ TI - Study of Syntactic Errors for Deep Parsing at Machine Translation T2 - International Journal of Cognitive and Language Sciences SP - 477 EP - 485 VL - 11 SN - 1307-6892 UR - https://publications.waset.org/pdf/10006612 PU - World Academy of Science, Engineering and Technology NX - Open Science Index 122, 2017 N2 - 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. ER -