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Deriving frequency effects from biases in learning
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In: Proceedings of the Linguistic Society of America; Vol 6, No 1 (2021): Proceedings of the Linguistic Society of America; 514–525 ; 2473-8689 (2021)
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Unsupervised Formal Grammar Induction with Confidence
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In: Proceedings of the Society for Computation in Linguistics (2020)
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When lexical statistics and the grammar conflict: learning and repairing weight effects on stress.
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Abstract:
In weight-sensitive languages, stress is influenced by syllable weight. As a result, heavy syllables should attract, not repel, stress. The Portuguese lexicon, however, presents a case where weight seems to negatively impact stress: antepenultimate stress is more frequent in light antepenultimate syllables than in heavy ones. This pattern is phonologically unexpected, and appears to contradict the typology of weight and stress: it is a case where lexical statistics and the grammar conflict. Portuguese also contains gradient, not categorical, weight effects, which weaken as we move away from the right edge of the word. In this paper, I examine how native speakers’ grammars capture these subtle weight effects, and whether the negative antepenultimate weight effect is learned or repaired. I show that speakers learn the gradient weight effects in the language, but do not learn the unnatural negative effect. Instead, speakers repair this pattern, and generalize a positive weight effect to all syllables in the stress domain. This study thus provides empirical evidence that speakers may not only ignore unnatural patterns, but also learn the opposite pattern.
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Keyword:
Bayes; lexical statistics; MaxEnt; probabilistic grammar; stress; weight
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URL: http://cardinalscholar.bsu.edu/handle/123456789/202134
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Constraints in contact: Animacy in English and Afrikaans genitive variation – a cross-linguistic perspective
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In: Glossa: a journal of general linguistics; Vol 2, No 1 (2017); 72 ; 2397-1835 (2017)
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Probabilistic Grammar: The view from Cognitive Sociolinguistics
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In: Glossa: a journal of general linguistics; Vol 2, No 1 (2017); 62 ; 2397-1835 (2017)
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Lexical Structure, Weightedness, And Information In Sentence Processing
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Intégration des données d'un lexique syntaxique dans un analyseur syntaxique probabiliste
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In: Penser le Lexique-Grammaire. Perspectives actuelles ; 30th International Conference on Lexis and Grammar (LGC'11) ; https://hal-upec-upem.archives-ouvertes.fr/hal-00621647 ; Fryni Kakoyianni-Doa. Penser le Lexique-Grammaire. Perspectives actuelles, Honoré Champion, pp.505-516, 2014, Collection Colloques, congrès et conférences. Sciences du Langage, histoire de la langue et des dictionnaires. 30th International Conference on Lexis and Grammar, Nicosia, Cyprus, 2011, 978-2-7453-2512-9 (2014)
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MSEE: Stochastic Cognitive Linguistic Behavior Models for Semantic Sensing
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In: DTIC (2013)
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Detecting grammatical errors with treebank-induced, probabilistic parsers
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In: Wagner, Joachim orcid:0000-0002-8290-3849 (2012) Detecting grammatical errors with treebank-induced, probabilistic parsers. PhD thesis, Dublin City University. (2012)
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Techniques for utterance disambiguation in a human-computer dialogue system
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Integration of Data from a Syntactic Lexicon into Generative and Discriminative Probabilistic Parsers
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In: International conference on Recent Advances in Natural Language Processing (RANLP'11) ; https://hal-upec-upem.archives-ouvertes.fr/hal-00621646 ; International conference on Recent Advances in Natural Language Processing (RANLP'11), 2011, Hissar, Bulgaria. pp.363-370 (2011)
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Incremental Syntactic Language Models for Phrase-Based Translation
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In: DTIC (2011)
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From Exemplar to Grammar: A Probabilistic Analogy-based Model of Language Learning
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In: http://staff.science.uva.nl/~rens/analogy.pdf (2009)
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