%0 Journal Article %1 venkatapathy2005rcn %A Venkatapathy, Sriram %A Joshi, Aaravind K. %A Agarwala, Preeti %D 2005 %J Proceedings of International Conference on Natural Language Processing (ICON’05), Kanpur %K NLP complex_predicates compositionality corpus statistical syntax %T Relative compositionality of noun+ verb multiword expressions in Hindi %U http://www.iiit.net/techreports/2007_81.pdf %X Measuring the relative compositionality of Multi-word expressions (MWEs) is crucial to Natural Language Processing. Hindi contains a rich set of Noun+Verb MWEs and hence, it is very important to handle them. Very limited work was done previously towards characterizing the MWEs in Hindi of Noun+Verb type. Also, various statistical measures which are used to measure the compositionality of different kinds of collocations in English cannot be applied straight-away to Hindi due to insufficient corpus and resources. In this paper, we analyze in detail the types of Noun+Verb expressions in Hindi. We then propose an approach to measure their relative compositionality automatically using maximum entropy model (MaxEnt). MaxEnt integrates various measures representing the properties of the Noun+Verb expressions in Hindi. Some of the measures used by the MaxEnt are computed by mapping them to Verb-Noun expressions in English.

@article{venkatapathy2005rcn, abstract = {Measuring the relative compositionality of Multi-word expressions (MWEs) is crucial to Natural Language Processing. Hindi contains a rich set of Noun+Verb MWEs and hence, it is very important to handle them. Very limited work was done previously towards characterizing the MWEs in Hindi of Noun+Verb type. Also, various statistical measures which are used to measure the compositionality of different kinds of collocations in English cannot be applied straight-away to Hindi due to insufficient corpus and resources. In this paper, we analyze in detail the types of Noun+Verb expressions in Hindi. We then propose an approach to measure their relative compositionality automatically using maximum entropy model (MaxEnt). MaxEnt integrates various measures representing the properties of the Noun+Verb expressions in Hindi. Some of the measures used by the MaxEnt are computed by mapping them to Verb-Noun expressions in English.}, added-at = {2008-05-26T23:13:20.000+0200}, author = {Venkatapathy, Sriram and Joshi, Aaravind K. and Agarwala, Preeti}, biburl = {https://www.bibsonomy.org/bibtex/274d4d47eda67a81ff4246103ff973200/unhammer}, interhash = {5e9eb4bd3591c0742e330e51403fa87d}, intrahash = {74d4d47eda67a81ff4246103ff973200}, journal = {Proceedings of International Conference on Natural Language Processing (ICON’05), Kanpur}, keywords = {NLP complex_predicates compositionality corpus statistical syntax}, timestamp = {2008-05-26T23:13:20.000+0200}, title = {{Relative compositionality of noun+ verb multiword expressions in Hindi}}, url = {http://www.iiit.net/techreports/2007_81.pdf}, year = 2005 }