Hindi CCGbank: CCG Treebank from the Hindi Dependency Treebank

Bharat ram Ambati, Tejaswini Deoskar, Mark Steedman

Research output: Contribution to journalArticlepeer-review

Abstract

In this paper, we present an approach for automatically creating a Combinatory
Categorial Grammar (CCG) treebank from a dependency treebank for the Subject-Object-Verb language Hindi. Rather than a direct conversion from dependency trees to CCG trees, we propose a two stage approach: a language independent generic algorithm first extracts a CCG lexicon from the dependency treebank. An exhaustive CCG parser then creates a treebank of CCG derivations. We also discuss special cases of this generic algorithm to handle linguistic phenomena specific to Hindi. In doing so we extract different constructions with long-range dependencies like coordinate constructions and non-projective dependencies resulting from constructions like relative clauses, noun elaboration and verbal modifiers.
Original languageEnglish
Pages (from-to)1-34
Number of pages35
JournalLanguage Resources and Evaluation
Early online date25 Jan 2017
DOIs
Publication statusE-pub ahead of print - 25 Jan 2017

Fingerprint

Dive into the research topics of 'Hindi CCGbank: CCG Treebank from the Hindi Dependency Treebank'. Together they form a unique fingerprint.

Cite this