Roni Katzir Dissertation

(with Asaf Bachrach) Linearizing Structures. To appear in Syntax.

(2016) (with Ezer Rasin) On Evaluation Metrics in Optimality Theory. Linguistic Inquiry 47:2, 235–282. [code]

(2015) (with Ezer Rasin) Compression-based learning for OT is incompatible with Richness of the Base. In Thuy Bui and Deniz Özyıldız (eds.), Proceedings of NELS 45, vol. 2, pp. 267–274.

(2014) A Cognitively Plausible Model for Grammar Induction. Journal of Language Modelling 2:2, 213–248.

(2014) (with Raj Singh) Hurford Disjunctions: Embedded Exhaustification and Structural Economy. In Urtzi Etxeberria, Anamaria Fălăuş, Aritz Irurtzun, and Bryan Leferman (eds.), Proceedings of Sinn und Bedeutung 18, pp. 201–216.

(2014) (with Tal Siloni) Definiteness and Agreement in Germanic DPs. In Alex Grosu, Anna Bondaruk, and Gréte Dalmi (eds.), Advances in the Syntax of DP’s. Structure, Agreement, and Case, John Benjamins, pp. 267–293.

(2014) On the Roles of Markedness and Contradiction in the Use of Alternatives. In Salvatore Pistoia Reda (ed.), Semantics, Pragmatics, and the Case of Scalar Implicatures, Palgrave, pp. 40–71. 

(2013) A Note on Contrast. Natural Language Semantics 21:4, 333–343.

(2012) (with Raj Singh) Two Restrictions on Possible Connectives. In Thomas Graf, Denis Paperno, Anna Szabolcsi, and Jos Tellings (eds.), Theories of Everything, UCLA Working Papers in Linguistics, pp. 154–162.

(2011) (with Danny Fox) On the Characterization of Alternatives. Natural Language Semantics 19:1, pp. 87–107. 

Learning rule-based morpho-phonology

by Nur Lan and Roni Katzir

Speakers' knowledge of the sound pattern of their language -- their knowledge of morpho-phonology... more Speakers' knowledge of the sound pattern of their language -- their knowledge of morpho-phonology -- goes well beyond the plain phonetic forms of words. According to a long-standing model in linguistics, morpho-phonological knowledge is distributed between a lexicon with morphemes, usually referred to as Underlying Representations (URs), and context-sensitive rewrite rules that transform URs to surface forms. In this paper we provide what to our knowledge is the first unsupervised learner that acquires both URs and phonological rules, including both optionality and rule interaction (both transparent and opaque), from distributional cues alone. Our learner is based on the principle of Minimum Description Length (MDL) which -- like the closely related Bayesian approach -- aims at balancing the complexity of the grammar and its fit of the data.

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