Parser Hybridisation for Natural Languages

Jaf, Sardar; Allan, Ramsay

Parser Hybridisation for Natural Languages

Jaf, Sardar; Allan, Ramsay

Authors

Sardar Jaf

Ramsay Allan

Abstract

Identifying and establishing structural relations between words in natural language sentences is called Parsing. Ambiguities in natural languages make parsing a difficult task. Parsing is more difficult when dealing with a structurally complex natural language such as Arabic, which contains a number of properties that make it particularly difficult to handle. In this paper, we briefly highlight some of the complex structure of Arabic, and we identify different parsing approaches (grammar-driven and data-driven approaches) and briefly discuss their limitations. Our main goal is to combine different parsing approaches and produce a hybrid parser, which retains the advantages of data-driven approaches but is guided by grammatical rules to produce more accurate results. We describe a novel technique for directly combining different parsing approaches. Results for initial experiments that we have conducted in this work, and our plans for future work is also presented.

Citation

Jaf, S., & Allan, R. (2013). Parser Hybridisation for Natural Languages.

Conference Name	6th Language and Technology Conference (LTC'2013): Human Language Technologies as a Challenge for Computer Science and Linguistics
Conference Location	Poznan, Poland
Start Date	Dec 7, 2013
End Date	Dec 9, 2013
Acceptance Date	Nov 30, 2013
Publication Date	Dec 1, 2013
Deposit Date	Feb 12, 2016
Publicly Available Date	Feb 25, 2016
Publisher	Springer Verlag
Pages	531-535
Keywords	Parsing, Hybrid Parsing, Natural Language Processing, Dependency Parsing
Publisher URL	http://ltc.amu.edu.pl/a2013/content.en.html
Additional Information	Conference date: 7-9 December, 2013