Abstract
We propose to automate the field of language acquisition evaluation through Constraint Solving; in particular through the use of Womb Grammars. Womb Grammar Parsing is a novel constraint based paradigm that was devised mainly to induce grammatical structure from the description of its syntactic constraints in a related language. In this paper we argue that based on universal constraints it is also ideal for automating the evaluation of language acquisition, and present as proof of concept a CHRG system for detecting which of fourteen levels of morphological proficiency a child is at, from a representative sample of the child’s expressions. Our results also uncover ways in which the linguistic constraints that characterize a grammar need to be tailored to language acquisition applications. We also put forward a proposal for discovering in what order such levels are typically acquired in other languages than English. Our findings have great potential practical value, in that they can help educators tailor the games, stories, songs, etc. that can aid a child (or a second language learner) to progress in timely fashion into the next level of proficiency, and can as well help shed light on the processes by which languages less studied than English are acquired.
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References
Barahona, P., Bel-Enguix, G., Dahl, V., Jiménez-López, M., Krippahl, L.: Generation of classification trees from variable weighted features. Natural Computing, 1–9 (2013)
Blache, P.: Property grammars: A fully constraint-based theory. In: Christiansen, H., Skadhauge, P.R., Villadsen, J. (eds.) CSLP 2005. LNCS (LNAI), vol. 3438, pp. 1–16. Springer, Heidelberg (2005)
Blache, P., Guenot, M.L., van Rullen, T.: A corpus-based technique for grammar development. In: Archer, D., Rayson, P., Wilson, A., McEnery, T. (eds.) Proceedings of Corpus Linguistics 2003, University of Lancaster, pp. 123–131 (2003)
Boyd, A.A.: Detecting and Diagnosing Grammatical Errors for Beginning Learners of German: From Learner Corpus Annotation to Constraint Satisfaction Problems. Ph.D. thesis, Ohio State University (2012)
Brown, R.: A first language: The early stages. George Allen and Unwin (1973)
Carroll, D.: Psychology of Language. Thomson/Wadsworth (2008)
Charniak, E., Johnson, M.: Coarse-to-fine n-best parsing and maxent discriminative reranking. In: Knight, K., Ng, H.T., Oflazer, K. (eds.) ACL. The Association for Computer Linguistics (2005)
Chomsky, N.: A review of B.F. Skinner’s Verbal Behavior. Language 35, 26–58 (1959)
Chomsky, N.: Lectures on Government and Binding. Foris, Dordrecht (1981)
Christiansen, H.: Chr grammars. TPLP 5(4-5), 467–501 (2005)
Cohen, S.B., Smith, N.A.: Covariance in unsupervised learning of probabilistic grammars. Journal of Machine Learning Research 11, 3017–3051 (2010)
Dahl, V., Blache, P.: Directly executable constraint based grammars. Proc. Journees Francophones de Programmation en Logique avec Contraintes (2004)
Dahl, V., Miralles, J.E.: Womb grammars: Constraint solving for grammar induction. In: 9th International Workshop on Constraint Handling Rules (CHR 2012), Budapest, Hungary, pp. 32–40. KU Leuven, Department of Computer Science, Tech. Report CW 624 (2012)
Dulay, H., Burt, M.: Should we teach chidren syntax? Language Learning 23, 245–258 (1973)
Frühwirth, T., Raiser, F. (eds.): Constraint Handling Rules: Compilation, Execution, and Analysis (March 2011)
Headden, W.P., Johnson, M., McClosky, D.: Improving unsupervised dependency parsing with richer contexts and smoothing. In: HLT-NAACL, pp. 101–109. The Association for Computational Linguistics (2009)
Heift, T., Schulze, M.: Errors and Intelligence in Computer-Assisted Language Learning. Parsers and Pedagogues. Routledge, New York (2007)
Klein, D., Manning, C.D.: Corpus-based induction of syntactic structure: Models of dependency and constituency. In: Scott, D., Daelemans, W., Walker, M.A. (eds.) ACL, pp. 478–485. ACL (2004)
Lakshmanan, U., Selinker, L.: Analysing interlanguage: how do we know what learners know? Second Language Research 14(4), 393–420 (2001)
Pereira, F.C.N., Schabes, Y.: Inside-outside reestimation from partially bracketed corpora. In: Thompson, H.S. (ed.) ACL, pp. 128–135. ACL (1992)
Pollard, C., Sag, I.A.: Head-driven Phrase Structure Grammars. CSLI. Chicago University Press (1994)
Rymer, R.: Genie: a scientific tragedy. Harper Perennial, New York (1994)
Skinner, B.: Verbal Behavior. Printice Hall, New York (1957)
de Villiers, J., de Villiers, P.: A cross-sectional study of the acquisition of grammatical morphemes in child speech. Journal of Psycholinguistic Research 2, 267–278 (1973)
Wang, M., Smith, N.A., Mitamura, T.: What is the jeopardy model? a quasi-synchronous grammar for qa. In: EMNLP-CoNLL, pp. 22–32. ACL (2007)
Yannakoudakis, H., Briscoe, T., Medlock, B.: A new dataset and method for automatically grading esol texts. In: Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies (HLT 2011), vol. 1, pp. 180–189. Association for Computational Linguistics, Stroudsburg (2011), http://dl.acm.org/citation.cfm?id=2002472.2002496
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Becerra-Bonache, L., Dahl, V., Miralles, J.E. (2013). The Role of Universal Constraints in Language Acquisition. In: Duchier, D., Parmentier, Y. (eds) Constraint Solving and Language Processing. CSLP 2012. Lecture Notes in Computer Science, vol 8114. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41578-4_1
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