Hindi CCGbank: A CCG treebank from the Hindi dependency treebank

• Published in: Language Resources and Evaluation Vol. 52; no. 1; pp. 67 - 100
• Main Authors: Ambati, Bharat Ram, Deoskar, Tejaswini, Steedman, Mark
• Format: Journal Article
• Language: English
• Published: Dordrecht Springer 01.03.2018; Springer Netherlands; Springer Nature B.V
• Subjects: Algorithms; Categorial grammar; Computational Linguistics; Computer Science; Computerized corpora; Direct conversion; Grammar; Hindi language; Language; Language and Literature; Linguistics; Original Paper; Relative clauses; Semantics; Social Sciences; Syntactic structures; Trees; Hindi; Combinatory categorial grammar; Treebank; CCG; Non-projective dependencies
• ISSN: 1574-020X; 1574-0218; 1572-8412; 1574-0218
• DOI: 10.1007/s10579-017-9379-6

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.