Work

A multi-representational and multi-layered treebank for Hindi/Urdu

Year: 2009

Type: conference-paper

Abstract: This paper describes the simultaneous development of dependency structure and phrase structure treebanks for Hindi and Urdu, as well as a PropBank. The dependency structure and the PropBank are manually annotated, and then the phrase structure treebank is produced automatically. To ensure successful conversion the development of the guidelines for all three representations are carefully coordinated.

Source: Linguistic Annotation Workshop

DOI: 10.3115/1698381.1698417

Authors: Rajesh Bhatt, Bhuvana Narasimhan, Martha Palmer, Owen Rambow, Dipti Misra Sharma, Fei Xia

Institutions: University of Massachusetts Amherst, University of Colorado Boulder, University of Colorado System, Columbia University, International Institute of Information Technology, Hyderabad, University of Washington

Language: English

Topic: Natural Language Processing Techniques

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: bronze

Funder: National Science Foundation

Awards: Collaborative Research: CRI: CRD: A Multi-Representational and Multi-Layered Treebank for Hindi/Urdu, Collaborative Research: CRI: CRD: A Multi-Representational and Multi-Layered Treebank for Hindi/Urdu, Collaborative Research: CRI: CRD: A Multi-Representational and Multi-Layered Treebank for Hindi/Urdu, Collaborative Research: CRI: CRD: A Multi-Representational and Multi-Layered Treebank for Hindi/Urdu

OpenAlex ID: W2062476972

FWCI: 8.321

Cites: 13

Cited by: 132

Related to: 10