NDLI: An Example Based Approach for Parsing Natural Language Sentences

Content Provider	IEEE Xplore Digital Library
Author	Chatterjee, N. Goyal, S.
Copyright Year	2007
Description	Author affiliation: Dept. of Mathe., Indian Inst. of Technol., New Delhi (Chatterjee, N.; Goyal, S.)
Abstract	Development of a parser from scratch is typically time-consuming and error prone. A more efficient approach may lie in adapting an example-based parsing scheme, provided an appropriate strategy is developed for knowledge elicitation from the example base. This paper proposes such a scheme for developing a Link Grammar based parser. The proposed scheme extracts knowledge from an already parsed example base in the form of "link information" and "phrase templates". For a given input sentence the parsing algorithm first extracts the possible links for the constituent words from the link dictionary. Then using the phrase templates and the possible links of the words, the sentence is parsed bottom-up. Algorithms have been developed to identify different phrases in the input sentence and to handle unknown words. The examples considered in this work are for English sentence. The proposed scheme uses very little language-specific information. Hence, the proposed algorithms can be adapted for other languages as well
Sponsorship	Indian Statistical Inst
Starting Page	451
Ending Page	457
File Size	133808
Page Count	7
File Format	PDF
ISBN	0769527701
DOI	10.1109/ICCTA.2007.28
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-03-05
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Dictionaries Natural languages Computer applications Probability Mathematics Natural language processing Data mining Joining processes Artificial intelligence
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

A language model for parsing very long Chinese sentences

Automatic Creation of N-lingual Synonymous Word Sets

A Japanese preprocessor for syntactic and semantic parsing

Two-Level Clausal Segmentation System Based on Semantic Information for Automatic Summarization

Rewriting Japanese compound nouns into expressions usable effectively in machine translation systems

A Triliteral Word Roots Extraction Using Neural Network For Arabic

A representational scheme for a hybrid natural language processing system

Parsing Chinese Sentences with Grammatical Relations

Diagram understanding utilizing natural language text

An Example Based Approach for Parsing Natural Language Sentences

Similar Documents

A language model for parsing very long Chinese sentences

Automatic Creation of N-lingual Synonymous Word Sets

A Japanese preprocessor for syntactic and semantic parsing

Two-Level Clausal Segmentation System Based on Semantic Information for Automatic Summarization

Rewriting Japanese compound nouns into expressions usable effectively in machine translation systems

A Triliteral Word Roots Extraction Using Neural Network For Arabic

A representational scheme for a hybrid natural language processing system

Parsing Chinese Sentences with Grammatical Relations

Diagram understanding utilizing natural language text

An Example Based Approach for Parsing Natural Language Sentences