The Hybridisation of a Data-driven Parser for Natural LanguagesCitation formats

  • Authors:
  • Sardar Jaf
  • Allan Ramsay

Standard

The Hybridisation of a Data-driven Parser for Natural Languages. / Jaf, Sardar; Ramsay, Allan.

6th International Conference on Language and Technology. 2013. p. 531-535.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Harvard

Jaf, S & Ramsay, A 2013, The Hybridisation of a Data-driven Parser for Natural Languages. in 6th International Conference on Language and Technology. pp. 531-535, 6th International Conference on Language and Technology, Polan, 1/01/24.

APA

Jaf, S., & Ramsay, A. (2013). The Hybridisation of a Data-driven Parser for Natural Languages. In 6th International Conference on Language and Technology (pp. 531-535)

Vancouver

Jaf S, Ramsay A. The Hybridisation of a Data-driven Parser for Natural Languages. In 6th International Conference on Language and Technology. 2013. p. 531-535

Author

Jaf, Sardar ; Ramsay, Allan. / The Hybridisation of a Data-driven Parser for Natural Languages. 6th International Conference on Language and Technology. 2013. pp. 531-535

Bibtex

@inproceedings{1dc87b4457174b0193e68b8221ef760c,
title = "The Hybridisation of a Data-driven Parser for Natural Languages",
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 even more difficult when dealing with a structurally complex natural language such as Arabic, which has 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 produce a hybrid parser, by combining different parsing approaches, which retains the advantages of data-driven approaches but is guided by a set of grammatical rules to produce more accurate results. We describe a novel technique for directly combining different parsing approaches. Results for our initial experiments that we have conducted in this work, and our plans for future work are also presented.",
keywords = "parsing, hybrid parsing, data-driven parsing, grammar-driven parsing, Arabic parsing, NLP parsing",
author = "Sardar Jaf and Allan Ramsay",
note = "Sardar Jaf’s contribution to this work was supported by Qatar National Research Foundation grant NPRP 09-046-6-001. Allan Ramsay’s contribution to this work was also partially supported by Qatar National Research Foundation grant NPRP 09-046-6-001.",
year = "2013",
language = "English",
pages = "531--535",
booktitle = "6th International Conference on Language and Technology",

}

RIS

TY - GEN

T1 - The Hybridisation of a Data-driven Parser for Natural Languages

AU - Jaf, Sardar

AU - Ramsay, Allan

N1 - Sardar Jaf’s contribution to this work was supported by Qatar National Research Foundation grant NPRP 09-046-6-001. Allan Ramsay’s contribution to this work was also partially supported by Qatar National Research Foundation grant NPRP 09-046-6-001.

PY - 2013

Y1 - 2013

N2 - 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 even more difficult when dealing with a structurally complex natural language such as Arabic, which has 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 produce a hybrid parser, by combining different parsing approaches, which retains the advantages of data-driven approaches but is guided by a set of grammatical rules to produce more accurate results. We describe a novel technique for directly combining different parsing approaches. Results for our initial experiments that we have conducted in this work, and our plans for future work are also presented.

AB - 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 even more difficult when dealing with a structurally complex natural language such as Arabic, which has 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 produce a hybrid parser, by combining different parsing approaches, which retains the advantages of data-driven approaches but is guided by a set of grammatical rules to produce more accurate results. We describe a novel technique for directly combining different parsing approaches. Results for our initial experiments that we have conducted in this work, and our plans for future work are also presented.

KW - parsing

KW - hybrid parsing

KW - data-driven parsing

KW - grammar-driven parsing

KW - Arabic parsing

KW - NLP parsing

M3 - Conference contribution

SP - 531

EP - 535

BT - 6th International Conference on Language and Technology

ER -