@article{(Open Science Index):https://publications.waset.org/pdf/10006612,
	  title     = {Study of Syntactic Errors for Deep Parsing at Machine Translation},
	  author    = {Yukiko Sasaki Alam and  Shahid Alam},
	  country	= {},
	  institution	= {},
	  abstract     = {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.
	    journal   = {International Journal of Cognitive and Language Sciences},
	  volume    = {11},
	  number    = {2},
	  year      = {2017},
	  pages     = {478 - 485},
	  ee        = {https://publications.waset.org/pdf/10006612},
	  url   	= {https://publications.waset.org/vol/122},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 122, 2017},