Syntactic parsing is an important undertaking which is required for NLP applications including machine interpretation. It is a testing assignment to build up a subjective parser for morphological rich and agglutinative dialects. Syntactic investigation is utilized to comprehend the linguistic structure of a characteristic dialect sentence. It yields all the linguistic data of each word and its constituent. Likewise, issues identified with it assist us with understanding the dialect in a more point by point way. This writing study is preparation to comprehend the distinctive parser advancement for Indian dialects and different methodologies that are utilized to grow such apparatuses and procedures. This paper gives a study of research papers from surely understood diaries and meetings.

Morphological examination, Syntactic Parsing, NLP

[1] A. Abhilash and P. Mannem, “Bidirectional Dependency Parser for Indian Languages.”
[2] B. R. Ambati, S. Husain, J. Nivre, and R. Sangal, “On the Role of Morphosyntactic Features in Hindi Dependency Parsing,” First Work. Stat. Parsing Morphol. Rich Lang. (SPMRL 2010), no. June, pp. 94–102, 2010.
[3] P. J. Antony and K. P. Soman, “Computational Morphology and Natural Language Parsing for Indian Languages : A Literature Survey,” Ijcset, vol. 3, no. 4, pp. 136–146, 2012.
[4] A. Bharati, S. Husain, B. Ambati, S. Jain, D. Sharma, and R. Sangal, “Two semantic features make all the difference in parsing accuracy,” Proc. 6th Int. Conf. Nat. Lang. Process., vol. 8, no. November, 2008.
[5] A. Bharati, M. Gupta, V. Yadav, K. Gali, and D. M. Sharma, “Simple parser for Indian languages in a dependency framework,” Proc. Third Linguist. Annot. Work., no. August, pp. 162–165, 2009.
[6] A. Bharati and R. Sangal, “Parsing free word order languages in the Paninian framework,” Proc. 31st Annu. Meet. Assoc. Comput. Linguist. -, pp. 105–111, 1993.
[7] P. Bhattacharyya, “Natural Language Processing: A Perspective from Computation in Presence of Ambiguity, Resource Constraint and Multilinguality,” CSI J. Comput., vol. 1, no. 2, pp. 1–11, 2012.
[8] S. Chatterji and D. Roy, “Grammar Driven Rules for Hybrid Bengali Dependency Parsing,” 2009.
[9] S. De, “Structure Simplification and Demand Satisfaction Approach to Dependency Parsing in Bangla.” Proceedings of ICON09 NLP Tools Contest: Indian Language Dependency Parsing, Hyderabad, India, 2009.
[10] P. Gadde, K. Jindal, S. Husain, D. M. Sharma, and R. Sangal, “Improving Data Driven Dependency Parsing using Clausal Information,” Hum. Lang. Technol. 2010 Annu. Conf. North Am. Chapter Assoc. Comput. Linguist., no. June, pp. 657–660, 2010.
[11] A. Ghosh, “Dependency Parser for Bengali : the JU System at ICON 2009,” 2009.
[12] A. P. J, N. J. Warrier Assistant Professor, and S. K. P Professor, “Penn Treebank-Based Syntactic Parsers for South Dravidian Languages using a Machine Learning Approach,” Int. J. Comput. Appl., vol. 7, no. 8, pp. 975–8887, 2010.
[13] S. Jain, N. Jain, A. Tammewar, R. Ahmad, B. Dipti, and M. Sharma, “Exploring Semantic Information in Hindi WordNet for Hindi Dependency Parsing,” no. October, pp. 189–197, 2013.
[14] D. Kulkarni, “Specifying Context free Grammar for Marathi Sentences,” vol. 99, no. 14, pp. 38–41, 2014.
[15] B. V. S. Kumari and R. R. Rao, “Hindi Dependency Parsing using a combined model of Malt and MST,” no. December, pp. 171–178, 2012.
[16] A. B. P. R. Ray V. Harish and S. Sarkar, “Part of Speech Tagging and Local Word Grouping Techniques for Natural Language Parsing in Hindi,” Proc. ICON 2003, 2003.
[17] M. Rahman, S. Das, and U. Sharma, “Parsing of part-of-speech tagged Assamese Texts,” J. Comput. Sci., vol. 6, no. 1, 2009.
[18] S. Ramteke, K. Ramteke, and R. Dongare, “Lexicon Parser for syntactic and semantic analysis of Devanagari sentence using Hindi wordnet,” Int. J. Adv. Res., vol. 3, no. 4, 2014.
[19] B. M. Sagar, G. Shobha, and R. Kumar, “Context Free Grammar (CFG) Analysis for simple Kannada sentences,” Proc. Int. Conf. [ACCTA-2010] Spec. Issue IJCCT, vol. 1, no. 2, p. 2, 2010.
[20] B. M. Sagar, G. Shobha, and R. K. P, “Solving the Noun Phrase and Verb Phrase Agreement in Kannada Sentences,” Int. J. Comput. Theory Eng., vol. 1, no. 3, pp. 288–292, 2009.
[21] N. Saharia, “A First Step Towards Parsing of Assamese Text.”
[22] M. Selvam, A. M. Natarajan, R. Thangarajan, and A. S. Approach, “Structural Parsing of Natural Language Text in Tamil Using Phrase Structure Hybrid Language Model,” vol. 2, no. 3, pp. 463–469, 2008.
[23] K. Singla, A. Tammewar, N. Jain, and S. Jain, “Two-stage Approach for Hindi Dependency Parsing Using MaltParser,” no. December, pp. 163–170, 2012.
[24] “ICON09 NLP TOOLS CONTEST : INDIAN LANGUAGE DEPENDENCY PARSING Hyderabad , India,” no. December, 2009.
[25] P. Ghosalkar, S. Malagi, V. Nagda, Y. Mehta, and P. Kulkarni, “English Grammar Checker,” IJCSE no. 3, pp. 98–100, 2016.
[26] T. Suryakanthi, “Parsing Complementizer Phrases In Machine Translation System,” IJCSE,vol. 4, no. 10, pp. 1702–1709, 2012.