Learning within- and between-word variation in probabilistic OT grammars

Aleksei Nazarov

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


    This paper proposes a novel method of inferring diacritics for representing between-word variation (exceptionality) in Optimality Theoretic (OT) grammars (e.g., Pater 2000, 2010) that makes it possible to infer such diacritics in the face of within-word variation. Existing methods of inferring diacritics in OT (Pater 2010, Becker 2009, Coetzee 2009) are based in categorical grammar learning (Tesar 1995), which makes them unable to handle within-word variation. Existing methods of inferring probabilistic OT grammars (e.g., Boersma 1998) handle within-word variation well, but have no provision to distinguish exceptional from non-exceptional words, and are incompatible with the main idea in Pater (2010). I show that this latter idea can be made compatible with probabilistic grammars based on a case study from Hebrew (Temkin-Martínez 2010), so that both within- and between-word variation can be learned.
    Original languageEnglish
    Title of host publicationSupplemental Proceedings of the 2017 Annual Meeting on Phonology
    EditorsGillian Gallagher, Maria Gouskova, Sora Yin
    Place of PublicationWashington, DC
    PublisherLinguistic Society of America
    Number of pages12
    Publication statusPublished - Feb 2018
    Event5th Annual Meeting on Phonology - New York University, New York, United States
    Duration: 15 Sep 201717 Sep 2017
    Conference number: 5
    https://wp.nyu.edu/amp2017/ (Link to Event Website)

    Publication series

    ISSN (Electronic)2377-3324


    Conference5th Annual Meeting on Phonology
    Abbreviated titleAMP 2017
    CountryUnited States
    CityNew York
    Internet address


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