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.
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Ambati, B. R., Deoskar, T., & Steedman, M. (2018). Hindi CCGbank: A CCG treebank from the Hindi dependency treebank. Language Resources and Evaluation, 52(1), 67–100. https://doi.org/10.1007/s10579-017-9379-6
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