Hindi CCGbank: A CCG treebank from the Hindi dependency treebank

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 inde...

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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
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ISSN	1574-020X 1572-8412 1574-0218
DOI	10.1007/s10579-017-9379-6

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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.
AbstractList	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.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. 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.
Author	Ambati, Bharat Ram Deoskar, Tejaswini Steedman, Mark
Author_xml	– sequence: 1 givenname: Bharat Ram surname: Ambati fullname: Ambati, Bharat Ram – sequence: 2 givenname: Tejaswini surname: Deoskar fullname: Deoskar, Tejaswini – sequence: 3 givenname: Mark surname: Steedman fullname: Steedman, Mark
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Keywords	Hindi Combinatory categorial grammar Treebank CCG Non-projective dependencies
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References	Uematsu, S., Matsuzaki, T., Hanaoka, H., Miyao, Y., & Mima, H. (2013). Integrating multiple dependency corpora for inducing wide-coverage Japanese CCG resources. In Proceedings of the 51st annual meeting of the association for computational linguistics (Volume 1: Long Papers, pp. 1042–1051). Sofia, Bulgaria. Cakici, R. (2005). Automatic induction of a CCG grammar for Turkish. In Proceedings of the ACL student research workshop (pp. 73–78). Ann Arbor, Michigan. Ambati, B. R. (2016). Transition-based Combinatory Categorial Grammar parsing for English and Hindi. Ph.D. thesis, University of Edinburgh, UK. Bharati, A., Sangal, R., Sharma, D. M., & Bai, L. (2006). AnnCorra: Annotating corpora guidelines for POS and chunk annotation for Indian languages. In Technical report (TR-LTRC-31), LTRC, IIIT-Hyderabad. Zhang, Y., & Clark, S. (2011). Shift-reduce CCG parsing. In Proceedings of the 49th annual meeting of the association for computational linguistics: Human language technologies (pp. 683–692). Portland, Oregon, USA. MarcusMPSantoriniBMarcinkiewiczMABuilding a large annotated corpus of English: The Penn TreebankComputational Linguistics1993192313330 Begum, R., Husain, S., Dhwaj, A., Sharma, D. M., Bai, L., & Sangal, R. (2008b). Dependency annotation scheme for Indian languages. In Proceedings of the third international joint conference on natural language processing (IJCNLP) (pp. 721–726). Hyderabad, India. ClarkSCurranJRWide-coverage efficient statistical parsing with CCG and log-linear modelsComputational Linguistics20073349355210.1162/coli.2007.33.4.493 Xu, W., Clark, S., & Zhang, Y. (2014). Shift-reduce CCG parsing with a dependency model. In Proceedings of the 52nd annual meeting of the association for computational linguistics (Vol. 1: Long Papers, pp. 218–227). Baltimore, Maryland. Nivre, J., Hall, J., Kübler, S., McDonald, R., Nilsson, J., Riedel, S., et al. (2007). The CoNLL 2007 shared task on dependency parsing. In Proceedings of the CoNLL shared task session of EMNLP-CoNLL 2007 (pp. 915–932). Czech Republic, Prague. Ambati, B. R. (2011). Hindi dependency parsing and treebank validation. Master’s thesis, International Institute of Information Technology, Hyderabad, India. Lewis, M., & Steedman, M. (2014). A* CCG parsing with a supertag-factored model. In Proceedings of the 2014 conference on empirical methods in natural language processing. Doha, Qatar. BharatiAChaitanyaVSangalRNatural language processing: A paninian perspective1995New DelhiPrentice-Hall of India Collins, M. (1999). Head-driven statistical models for natural language parsing. Ph.D. thesis, University of Pennsylvania. Hockenmaier, J., & Steedman, M. (2002). Generative models for statistical parsing with combinatory categorial grammar. In Proceedings of 40th annual meeting of the association for computational linguistics (pp. 335–342). Philadelphia, Pennsylvania, USA. Vaidya, A., Husain, S., Mannem, P., & Sharma, D. M. (2009). A karaka-based dependency annotation scheme for English. In Proceedings of computational linguistics and intelligent text processing (CICLing) (pp. 41–52). Buchholz, S., & Marsi, E. (2006). CoNLL-X shared task on multilingual dependency parsing. In Proceedings of the tenth conference on computational natural language learning (pp. 149–164). New York City, New York. Bharati, A., Mannem, P., & Sharma, D. M. (2012). Hindi parsing shared task. In Proceedings of coling workshop on machine translation and parsing in Indian languages. Kharagpur, India. Tse, D., & Curran, J. R. (2010). Chinese CCGbank: Extracting CCG derivations from the Penn Chinese Treebank. In Proceedings of the 23rd international conference on computational linguistics (Coling 2010) (pp. 1083–1091). Beijing, China. Coling 2010 Organizing Committee. Ambati, B. R., Deoskar, T., & Steedman, M. (2013). Using CCG categories to improve Hindi dependency parsing. In Proceedings of the 51st annual meeting of the association for computational linguistics (Vol. 2: Short Papers, pp. 604–609). Sofia, Bulgaria. Kwiatkowski, T., Choi, E., Artzi, Y., & Zettlemoyer, L. (2013). Scaling semantic parsers with on-the-fly ontology matching. In Proceedings of the 2013 conference on empirical methods in natural language processing (pp. 1545–1556). Seattle, Washington, USA. Bos, J., Bosco, C., & Mazzei, A. (2009). Converting a dependency treebank to a categorial grammar treebank for Italian. In Proceedings of the eighth international workshop on treebanks and linguistic theories (TLT8) (pp. 27–38). Italy, Milan. Meyers, A., Reeves, R., Macleod, C., Szekely, R., Zielinska, V., Young, B., et al. (2004). The NomBank project: An interim report. In Proceedings of HLT-NAACL 2004 workshop: Frontiers in corpus annotation (pp. 24–31). Boston, Massachusetts. Begum, R., Husain, S., Bai, L., & Sharma, D. M. (2008a). Developing verb frames for Hindi. In Proceedings of LREC. MohananTArgument structure in Hindi1994StanfordCSLI Publications PalmerMKingsburyPGildeaDThe proposition bank: An annotated corpus of semantic rolesComputational Linguistics20053117110610.1162/0891201053630264 NivreJHallJNilssonJChanevAEryigitGKüblerSMarinovSMarsiEMaltParser: A language-independent system for data-driven dependency parsingNatural Language Engineering200713295135 SteedmanMThe syntactic process2000Cambridge, MAMIT Press Honnibal, M., Curran, J. R., & Bos, J. (2010). Rebanking CCGbank for improved NP interpretation. In Proceedings of the 48th annual meeting of the association for computational linguistics (pp. 207–215). Uppsala, Sweden. Brants, S., Dipper, S., Hansen, S., Lezius, W., & Smith, G. (2002). The TIGER treebank. In Proceedings of the first workshop on treebanks and linguistic theories (TLT 2002). Sozopol, Bulgaria. JoshiAVijay-ShankerKWeirDSellsPShieberSWasowTThe convergence of mildly context-sensitive formalismsProcessing of linguistic structure1991Cambridge, MAMIT Press3181 Mohanan, K. P. (1982). Grammatical relations and clause structure in Malayalam. In J. Bresnan (Ed.), The mental representation of grammatical relations. Cambridge: The MIT Press. Ambati, B. R., Deoskar, T., & Steedman, M. (2014). Improving dependency parsers using combinatory categorial grammar. In Proceedings of the 14th conference of the European chapter of the association for computational linguistics (Vol. 2: Short Papers, pp. 159–163). Gothenburg, Sweden. Ambati, B. R., Deoskar, T., Johnson, M., & Steedman, M. (2015). An incremental algorithm for transition-based CCG parsing. In Proceedings of the 2015 conference of the North American chapter of the association for computational linguistics: Human language technologies (pp. 53–63), Denver, Colorado. HaysDDependency theory: A formalism and some observationsLanguage19644051152510.2307/411934 Honnibal, M., & Curran, J. R. (2007). Improving the complement/adjunct distinction in CCGBank. In Proceedings of the 10th conference of the pacific association for computational linguistics (PACLING-07) (pp. 210–217). Iida, R., Komachi, M., Inui, K., & Matsumoto, Y. (2007). Annotating a Japanese text corpus with predicate-argument and coreference relations. In Proceedings of the linguistic annotation workshop (pp. 132–139). Association for Computational Linguistics. Bhat, R. A. & Sharma, D. M. (2012). Non-projective structures in Indian language treebanks. In Proceedings of the 11th workshop on treebanks and linguistic theories (TLT11) (pp. 25–30). LewisMSteedmanMCombined distributional and logical semanticsTransactions of the Association for Computational Linguistics20131179192 Nivre, J. (2009). Non-projective dependency parsing in expected linear time. In Proceedings of the joint conference of the 47th annual meeting of the ACL and the 4th international joint conference on natural language processing of the AFNLP (pp. 351–359). Suntec, Singapore. Bharati, A., Sharma, D. M., Husain, S., Bai, L., Begum, R., & Sangal, R. (2009). AnnCorra: TreeBanks for Indian languages, guidelines for annotating Hindi TreeBank (version 2.0). http://ltrc.iiit.ac.in/MachineTrans/research/tb/DS-guidelines/DS-guidelines-ver2-28-05-09.pdf. XueNXiaFChiouF-DPalmerMThe Penn Chinese TreeBank: Phrase structure annotation of a large corpusNatural Language Engineering2005110220723810.1017/S135132490400364X Hockenmaier, J. (2006). Creating a CCGbank and a wide-coverage CCG lexicon for German. In Proceedings of the 21st international conference on computational linguistics and 44th annual meeting of the association for computational linguistics (pp. 505–512). Sydney, Australia. Lewis, M., & Steedman, M. (2013). Unsupervised induction of cross-lingual semantic relations. In Proceedings of the 2013 conference on empirical methods in natural language processing (pp. 681–692). Seattle, Washington, USA. McDonald, R., Nivre, J., Quirmbach-Brundage, Y., Goldberg, Y., Das, D., Ganchev, K., et al. (2013). Universal dependency annotation for multilingual parsing. In Proceedings of the 51st annual meeting of the association for computational linguistics (Vol. 2: Short Papers, pp. 92–97). Sofia, Bulgaria. Bos, J., Clark, S., Steedman, M., Curran, J. R., & Hockenmaier, J. (2004). Wide-coverage semantic representations from a CCG parser. In Proceedings of coling 2004 (pp. 1240–1246). Geneva, Switzerland. COLING. Bharati, A., Sangal, R., & Sharma, D. M. (2007). SSF: Shakti standard format guide. In Technical report (TR-LTRC-33), LTRC, IIIT-Hyderabad. Bhatt, R., Narasimhan, B., Palmer, M., Rambow, O., Sharma, D. M., & Xia, F. (2009). A multi-representational and multi-layered treebank for Hindi/Urdu. Proceedings of the third linguistic annotation workshop at 47th ACL and 4th IJCNLP (pp. 186–189). Suntec, Singapore. Kiparsky, P., & Staal, J. F. (1969). Syntactic and semantic relations in . Foundations of Language, 5(1), 83–117. Nivre, J., & Nilsson, J. (2005). Pseudo-projective dependency parsing. In ACL ’05: Proceedings of the 43rd annual meeting on association for computational linguistics (pp. 99–106). Ann Arbor, Michigan. 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References_xml	– reference: Zhang, Y., & Clark, S. (2011). Shift-reduce CCG parsing. In Proceedings of the 49th annual meeting of the association for computational linguistics: Human language technologies (pp. 683–692). Portland, Oregon, USA. – reference: Mohanan, K. P. (1982). Grammatical relations and clause structure in Malayalam. In J. Bresnan (Ed.), The mental representation of grammatical relations. Cambridge: The MIT Press. – reference: Begum, R., Husain, S., Bai, L., & Sharma, D. M. (2008a). Developing verb frames for Hindi. In Proceedings of LREC. – reference: Ambati, B. R., Deoskar, T., & Steedman, M. (2013). Using CCG categories to improve Hindi dependency parsing. In Proceedings of the 51st annual meeting of the association for computational linguistics (Vol. 2: Short Papers, pp. 604–609). Sofia, Bulgaria. – reference: Ambati, B. R., Deoskar, T., & Steedman, M. (2014). Improving dependency parsers using combinatory categorial grammar. In Proceedings of the 14th conference of the European chapter of the association for computational linguistics (Vol. 2: Short Papers, pp. 159–163). Gothenburg, Sweden. – reference: Begum, R., Husain, S., Dhwaj, A., Sharma, D. M., Bai, L., & Sangal, R. (2008b). Dependency annotation scheme for Indian languages. In Proceedings of the third international joint conference on natural language processing (IJCNLP) (pp. 721–726). Hyderabad, India. – reference: HockenmaierJSteedmanMCCGbank: A corpus of CCG derivations and dependency structures extracted from the Penn TreebankComputational Linguistics200733335539610.1162/coli.2007.33.3.355 – reference: Kawahara, D., Kurohashi, S., & Hasida, K. (2002). Construction of a Japanese relevance-tagged corpus. In LREC. – reference: MahajanAAlexiadouALawPMeinungerAWilderCRelative asymmetries and Hindi correlativesThe syntax of relative clauses2000AmsterdamJohn Benjamins20122910.1075/la.32.06mah – reference: Cakici, R. (2005). Automatic induction of a CCG grammar for Turkish. In Proceedings of the ACL student research workshop (pp. 73–78). Ann Arbor, Michigan. – reference: MarcusMPSantoriniBMarcinkiewiczMABuilding a large annotated corpus of English: The Penn TreebankComputational Linguistics1993192313330 – reference: Nivre, J. (2009). Non-projective dependency parsing in expected linear time. In Proceedings of the joint conference of the 47th annual meeting of the ACL and the 4th international joint conference on natural language processing of the AFNLP (pp. 351–359). Suntec, Singapore. – reference: Nivre, J., Hall, J., Kübler, S., McDonald, R., Nilsson, J., Riedel, S., et al. (2007). The CoNLL 2007 shared task on dependency parsing. In Proceedings of the CoNLL shared task session of EMNLP-CoNLL 2007 (pp. 915–932). Czech Republic, Prague. – reference: XueNXiaFChiouF-DPalmerMThe Penn Chinese TreeBank: Phrase structure annotation of a large corpusNatural Language Engineering2005110220723810.1017/S135132490400364X – reference: KumariBRaoRRImproving Telugu dependency parsing using combinatory categorial grammar supertagsACM Transactions on Asian and Low-Resource Language Information Processing2015141310.1145/2693190.2693191 – reference: JoshiAVijay-ShankerKWeirDSellsPShieberSWasowTThe convergence of mildly context-sensitive formalismsProcessing of linguistic structure1991Cambridge, MAMIT Press3181 – reference: Bhatt, R., Narasimhan, B., Palmer, M., Rambow, O., Sharma, D. M., & Xia, F. (2009). A multi-representational and multi-layered treebank for Hindi/Urdu. Proceedings of the third linguistic annotation workshop at 47th ACL and 4th IJCNLP (pp. 186–189). Suntec, Singapore. – reference: HaysDDependency theory: A formalism and some observationsLanguage19644051152510.2307/411934 – reference: Lewis, M., & Steedman, M. (2013). Unsupervised induction of cross-lingual semantic relations. In Proceedings of the 2013 conference on empirical methods in natural language processing (pp. 681–692). Seattle, Washington, USA. – reference: Vaidya, A., Husain, S., Mannem, P., & Sharma, D. M. (2009). A karaka-based dependency annotation scheme for English. In Proceedings of computational linguistics and intelligent text processing (CICLing) (pp. 41–52). – reference: SteedmanMThe syntactic process2000Cambridge, MAMIT Press – reference: Bharati, A., Sharma, D. M., Husain, S., Bai, L., Begum, R., & Sangal, R. (2009). AnnCorra: TreeBanks for Indian languages, guidelines for annotating Hindi TreeBank (version 2.0). http://ltrc.iiit.ac.in/MachineTrans/research/tb/DS-guidelines/DS-guidelines-ver2-28-05-09.pdf. – reference: UematsuSMatsuzakiTHanaokaHMiyaoYMimaHIntegrating multiple dependency corpora for inducing wide-coverage Japanese CCG resourcesACM Transactions on Asian and Low-Resource Language Information Processing201514112410.1145/2658997 – reference: Xu, W., Clark, S., & Zhang, Y. (2014). Shift-reduce CCG parsing with a dependency model. In Proceedings of the 52nd annual meeting of the association for computational linguistics (Vol. 1: Long Papers, pp. 218–227). Baltimore, Maryland. – reference: MohananTArgument structure in Hindi1994StanfordCSLI Publications – reference: Tse, D., & Curran, J. R. (2010). Chinese CCGbank: Extracting CCG derivations from the Penn Chinese Treebank. In Proceedings of the 23rd international conference on computational linguistics (Coling 2010) (pp. 1083–1091). Beijing, China. Coling 2010 Organizing Committee. – reference: Ambati, B. R., Deoskar, T., Johnson, M., & Steedman, M. (2015). An incremental algorithm for transition-based CCG parsing. In Proceedings of the 2015 conference of the North American chapter of the association for computational linguistics: Human language technologies (pp. 53–63), Denver, Colorado. – reference: Bharati, A., Mannem, P., & Sharma, D. M. (2012). Hindi parsing shared task. In Proceedings of coling workshop on machine translation and parsing in Indian languages. Kharagpur, India. – reference: KuhlmannMKollerASattaGLexicalization and generative power in CCGComputational Linguistics20154118721910.1162/COLI_a_00219 – reference: LewisMSteedmanMCombined distributional and logical semanticsTransactions of the Association for Computational Linguistics20131179192 – reference: ReddySLapataMSteedmanMLarge-scale semantic parsing without question–answer pairsTransactions of the Association for Computational Linguistics20142377392 – reference: Bos, J., Clark, S., Steedman, M., Curran, J. R., & Hockenmaier, J. (2004). Wide-coverage semantic representations from a CCG parser. In Proceedings of coling 2004 (pp. 1240–1246). Geneva, Switzerland. COLING. – reference: ShastriCVyakarana Chandrodya1973New DelhiMotilal Banarsidass(In Hindi) – reference: Bos, J., Bosco, C., & Mazzei, A. (2009). Converting a dependency treebank to a categorial grammar treebank for Italian. In Proceedings of the eighth international workshop on treebanks and linguistic theories (TLT8) (pp. 27–38). Italy, Milan. – reference: Honnibal, M., & Curran, J. R. (2007). Improving the complement/adjunct distinction in CCGBank. In Proceedings of the 10th conference of the pacific association for computational linguistics (PACLING-07) (pp. 210–217). – reference: BharatiAChaitanyaVSangalRNatural language processing: A paninian perspective1995New DelhiPrentice-Hall of India – reference: ClarkSCurranJRWide-coverage efficient statistical parsing with CCG and log-linear modelsComputational Linguistics20073349355210.1162/coli.2007.33.4.493 – reference: Lewis, M., & Steedman, M. (2014). A* CCG parsing with a supertag-factored model. In Proceedings of the 2014 conference on empirical methods in natural language processing. Doha, Qatar. – reference: Magerman, D. M. (1994). Natural language parsing as statistical pattern recognition. Ph.D. thesis, Stanford University. – reference: Hockenmaier, J. (2006). Creating a CCGbank and a wide-coverage CCG lexicon for German. In Proceedings of the 21st international conference on computational linguistics and 44th annual meeting of the association for computational linguistics (pp. 505–512). Sydney, Australia. – reference: Brants, S., Dipper, S., Hansen, S., Lezius, W., & Smith, G. (2002). The TIGER treebank. In Proceedings of the first workshop on treebanks and linguistic theories (TLT 2002). Sozopol, Bulgaria. – reference: Bhat, R. A. & Sharma, D. M. (2012). Non-projective structures in Indian language treebanks. In Proceedings of the 11th workshop on treebanks and linguistic theories (TLT11) (pp. 25–30). – reference: Nivre, J., & Nilsson, J. (2005). Pseudo-projective dependency parsing. In ACL ’05: Proceedings of the 43rd annual meeting on association for computational linguistics (pp. 99–106). Ann Arbor, Michigan. – reference: Uematsu, S., Matsuzaki, T., Hanaoka, H., Miyao, Y., & Mima, H. (2013). Integrating multiple dependency corpora for inducing wide-coverage Japanese CCG resources. In Proceedings of the 51st annual meeting of the association for computational linguistics (Volume 1: Long Papers, pp. 1042–1051). Sofia, Bulgaria. – reference: McDonald, R., Nivre, J., Quirmbach-Brundage, Y., Goldberg, Y., Das, D., Ganchev, K., et al. (2013). Universal dependency annotation for multilingual parsing. In Proceedings of the 51st annual meeting of the association for computational linguistics (Vol. 2: Short Papers, pp. 92–97). Sofia, Bulgaria. – reference: RobinsonJDependency structures and transformational rulesLanguage19704625928510.2307/412278 – reference: NivreJHallJNilssonJChanevAEryigitGKüblerSMarinovSMarsiEMaltParser: A language-independent system for data-driven dependency parsingNatural Language Engineering200713295135 – reference: Bharati, A., Sangal, R., & Sharma, D. M. (2007). SSF: Shakti standard format guide. In Technical report (TR-LTRC-33), LTRC, IIIT-Hyderabad. – reference: Kwiatkowski, T., Choi, E., Artzi, Y., & Zettlemoyer, L. (2013). Scaling semantic parsers with on-the-fly ontology matching. In Proceedings of the 2013 conference on empirical methods in natural language processing (pp. 1545–1556). Seattle, Washington, USA. – reference: Kiparsky, P., & Staal, J. F. (1969). Syntactic and semantic relations in . Foundations of Language, 5(1), 83–117. – reference: Ambati, B. R. (2016). Transition-based Combinatory Categorial Grammar parsing for English and Hindi. Ph.D. thesis, University of Edinburgh, UK. – reference: Meyers, A., Reeves, R., Macleod, C., Szekely, R., Zielinska, V., Young, B., et al. (2004). The NomBank project: An interim report. In Proceedings of HLT-NAACL 2004 workshop: Frontiers in corpus annotation (pp. 24–31). Boston, Massachusetts. – reference: PalmerMKingsburyPGildeaDThe proposition bank: An annotated corpus of semantic rolesComputational Linguistics20053117110610.1162/0891201053630264 – reference: Buchholz, S., & Marsi, E. (2006). CoNLL-X shared task on multilingual dependency parsing. In Proceedings of the tenth conference on computational natural language learning (pp. 149–164). New York City, New York. – reference: Honnibal, M., Curran, J. R., & Bos, J. (2010). Rebanking CCGbank for improved NP interpretation. In Proceedings of the 48th annual meeting of the association for computational linguistics (pp. 207–215). Uppsala, Sweden. – reference: Collins, M. (1999). Head-driven statistical models for natural language parsing. Ph.D. thesis, University of Pennsylvania. – reference: Ambati, B. R. (2011). Hindi dependency parsing and treebank validation. Master’s thesis, International Institute of Information Technology, Hyderabad, India. – reference: Hockenmaier, J., & Steedman, M. (2002). Generative models for statistical parsing with combinatory categorial grammar. In Proceedings of 40th annual meeting of the association for computational linguistics (pp. 335–342). Philadelphia, Pennsylvania, USA. – reference: Auli, M., & Lopez, A. (2011). A comparison of loopy belief propagation and dual decomposition for integrated CCG supertagging and parsing. In Proceedings of the 49th annual meeting of the association for computational linguistics: Human language technologies (pp. 470–480). Portland, Oregon, USA. – reference: Iida, R., Komachi, M., Inui, K., & Matsumoto, Y. (2007). Annotating a Japanese text corpus with predicate-argument and coreference relations. In Proceedings of the linguistic annotation workshop (pp. 132–139). Association for Computational Linguistics. – reference: Mannem, P., Chaudhry, H., & Bharati, A. (2009). Insights into non-projectivity in Hindi. In Proceedings of the ACL-IJCNLP 2009 student research workshop (pp. 10–17). Suntec, Singapore. – reference: Bharati, A., Sangal, R., Sharma, D. M., & Bai, L. (2006). AnnCorra: Annotating corpora guidelines for POS and chunk annotation for Indian languages. In Technical report (TR-LTRC-31), LTRC, IIIT-Hyderabad. – ident: 9379_CR41 doi: 10.3115/1667884.1667887 – ident: 9379_CR27 – ident: 9379_CR35 doi: 10.18653/v1/D13-1161 – volume: 2 start-page: 377 year: 2014 ident: 9379_CR52 publication-title: Transactions of the Association for Computational Linguistics doi: 10.1162/tacl_a_00190 – ident: 9379_CR10 – volume: 33 start-page: 355 issue: 3 year: 2007 ident: 9379_CR26 publication-title: Computational Linguistics doi: 10.1162/coli.2007.33.3.355 – ident: 9379_CR56 – ident: 9379_CR14 – ident: 9379_CR62 – ident: 9379_CR59 doi: 10.1007/978-3-642-00382-0_4 – ident: 9379_CR8 – ident: 9379_CR4 doi: 10.3115/v1/E14-4031 – ident: 9379_CR36 doi: 10.18653/v1/D13-1064 – ident: 9379_CR43 – volume-title: The syntactic process year: 2000 ident: 9379_CR55 doi: 10.7551/mitpress/6591.001.0001 – ident: 9379_CR3 – ident: 9379_CR28 – start-page: 31 volume-title: Processing of linguistic structure year: 1991 ident: 9379_CR30 – ident: 9379_CR49 – ident: 9379_CR37 doi: 10.3115/v1/D14-1107 – ident: 9379_CR57 – ident: 9379_CR11 – ident: 9379_CR18 – ident: 9379_CR32 – volume: 33 start-page: 493 year: 2007 ident: 9379_CR21 publication-title: Computational Linguistics doi: 10.1162/coli.2007.33.4.493 – ident: 9379_CR39 – ident: 9379_CR7 – ident: 9379_CR29 doi: 10.3115/1642059.1642081 – ident: 9379_CR48 doi: 10.3115/1219840.1219853 – ident: 9379_CR5 doi: 10.3115/v1/N15-1006 – ident: 9379_CR25 – ident: 9379_CR47 doi: 10.3115/1687878.1687929 – ident: 9379_CR2 – ident: 9379_CR6 – volume: 41 start-page: 187 year: 2015 ident: 9379_CR33 publication-title: Computational Linguistics doi: 10.1162/COLI_a_00219 – ident: 9379_CR17 doi: 10.3115/1220355.1220535 – ident: 9379_CR12 – ident: 9379_CR19 doi: 10.3115/1596276.1596305 – ident: 9379_CR31 – volume: 14 start-page: 3 issue: 1 year: 2015 ident: 9379_CR34 publication-title: ACM Transactions on Asian and Low-Resource Language Information Processing doi: 10.1145/2693190.2693191 – volume: 11 start-page: 207 issue: 02 year: 2005 ident: 9379_CR61 publication-title: Natural Language Engineering doi: 10.1017/S135132490400364X – volume: 14 start-page: 1 issue: 1 year: 2015 ident: 9379_CR58 publication-title: ACM Transactions on Asian and Low-Resource Language Information Processing doi: 10.1145/2658997 – volume: 13 start-page: 95 issue: 2 year: 2007 ident: 9379_CR50 publication-title: Natural Language Engineering doi: 10.1017/S1351324906004505 – volume-title: Vyakarana Chandrodya year: 1973 ident: 9379_CR54 – ident: 9379_CR45 – ident: 9379_CR15 doi: 10.3115/1698381.1698417 – volume: 19 start-page: 313 issue: 2 year: 1993 ident: 9379_CR42 publication-title: Computational Linguistics – ident: 9379_CR22 – volume: 46 start-page: 259 year: 1970 ident: 9379_CR53 publication-title: Language doi: 10.2307/412278 – ident: 9379_CR60 doi: 10.3115/v1/P14-1021 – ident: 9379_CR1 – volume: 1 start-page: 179 year: 2013 ident: 9379_CR38 publication-title: Transactions of the Association for Computational Linguistics doi: 10.1162/tacl_a_00219 – volume: 31 start-page: 71 issue: 1 year: 2005 ident: 9379_CR51 publication-title: Computational Linguistics doi: 10.1162/0891201053630264 – ident: 9379_CR16 – ident: 9379_CR20 doi: 10.3115/1628960.1628975 – volume: 40 start-page: 511 year: 1964 ident: 9379_CR23 publication-title: Language doi: 10.2307/411934 – ident: 9379_CR9 – ident: 9379_CR24 doi: 10.3115/1220175.1220239 – ident: 9379_CR44 – volume-title: Natural language processing: A paninian perspective year: 1995 ident: 9379_CR13 – start-page: 201 volume-title: The syntax of relative clauses year: 2000 ident: 9379_CR40 doi: 10.1075/la.32.06mah – volume-title: Argument structure in Hindi year: 1994 ident: 9379_CR46
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Snippet	In this paper, we present an approach for automatically creating a combinatory categorial grammar (CCG) treebank from a dependency treebank for the...
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SubjectTerms	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
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Title	Hindi CCGbank: A CCG treebank from the Hindi dependency treebank
URI	https://www.jstor.org/stable/26649633 https://link.springer.com/article/10.1007/s10579-017-9379-6 https://www.ncbi.nlm.nih.gov/pubmed/31983909 https://www.proquest.com/docview/1999917554 https://www.proquest.com/docview/2346305614 https://pubmed.ncbi.nlm.nih.gov/PMC6954025
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