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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 3 Hits 1 – 20 of 49 1 A split-gesture, competitive, coupled oscillator model of syllable structure predicts the emergence of edge gemination and degemination Burroni, Francesco In: Proceedings of the Society for Computation in Linguistics (2022) BASE Show details 2 Linguistic Complexity and Planning Effects on Word Duration in Hindi Read Aloud Speech Ranjan, Sidharth; Rajkumar, Rajakrishnan; Agarwal, Sumeet In: Proceedings of the Society for Computation in Linguistics (2022) BASE Show details 3 MaxEnt Learners are Biased Against Giving Probability to Harmonically Bounded Candidates O'Hara, Charlie In: Proceedings of the Society for Computation in Linguistics (2022) BASE Show details 4 Representing Multiple Dependencies in Prosodic Structures Yu, Kristine M. In: Proceedings of the Society for Computation in Linguistics (2022) BASE Show details 5 Consonant harmony, disharmony, memory and time scales Gafos, Adamantios In: Proceedings of the Society for Computation in Linguistics (2021) BASE Show details 6 Learnability of indexed constraint analyses of phonological opacity Nazarov, Aleksei In: Proceedings of the Society for Computation in Linguistics (2021) BASE Show details 7 Information flow, artificial phonology and typology Gafos, Adamantios In: Proceedings of the Society for Computation in Linguistics (2021) BASE Show details 8 Learning Interactions of Local and Non-Local Phonotactic Constraints from Positive Input De Santo, Aniello; Aksënova, Alëna In: Proceedings of the Society for Computation in Linguistics (2021) BASE Show details 9 LEARNING PHONOLOGY WITH SEQUENCE-TO-SEQUENCE NEURAL NETWORKS Prickett, Brandon In: Doctoral Dissertations (2021) BASE Show details 10 PMKNS for PIE: Parsed Morphological KATR Networks of Sanskrit for Proto-Indo-European McDonald, Ryan Mark In: Theses and Dissertations--Linguistics (2020) BASE Show details 11 Tier-Based Strictly Local Stringsets: Perspectives from Model and Automata Theory Lambert, Dakotah; Rogers, James In: Proceedings of the Society for Computation in Linguistics (2020) BASE Show details 12 Emergent Typological Effects of Agent-Based Learning Models in Maximum Entropy Grammar Hughto, Coral In: Doctoral Dissertations (2020) Abstract: This dissertation shows how a theory of grammatical representations and a theory of learning can be combined to generate gradient typological predictions in phonology, predicting not only which patterns are expected to exist, but also their relative frequencies: patterns which are learned more easily are predicted to be more typologically frequent than those which are more difficult. In Chapter 1 I motivate and describe the specific implementation of this methodology in this dissertation. Maximum Entropy grammar (Goldwater & Johnson 2003) is combined with two agent-based learning models, the iterated and the interactive learning model, each of which mimics a type of learning dynamic observed in natural language acquisition. In Chapter 2 I illustrate how this system works using a simplified, abstract example typology, and show how the models generate a bias away from patterns which rely on cumulative constraint interaction ("gang effects"), and a bias away from variable patterns. Both of these biases match observed trends in natural language typology and psycholinguistic experiments. Chapter 3 further explores the models' bias away from cumulative constraint interaction using an empirical test case: the typology of possible patterns of contrast between two fricatives. This typology yields five possible patterns, the rarest of which is the result of a gang effect. The results of simulations performed with both models produce a bias against the gang effect pattern. Chapter 4 further explores the models' bias away from variation using evidence from artificial grammar learning experiments, in which human participants show a bias away from variable patterns (e.g. Smith & Wonnacott 2010). This test case was chosen additionally to disambiguate between variable behavior within a lexical item (variation), and variable behavior across lexical items (exceptionality). The results of simulations performed with both learning models are consistent with the observed bias away from variable patterns in humans. The results of the iterated and interactive learning models presented in this dissertation provide support for the use of this methodology in investigating the typological predictions of linguistic theories of grammar and learning, as well as in addressing broader questions regarding the source of gradient typological trends, and whether certain properties of natural language must be innately specified, or might emerge through other means. Keyword: Computational Linguistics; linguistics; Phonetics and Phonology; phonology; typology URL: https://scholarworks.umass.edu/dissertations_2/2028 https://scholarworks.umass.edu/cgi/viewcontent.cgi?article=3111&context=dissertations_2 BASE Hide details 13 Extending the Autosegmental Input Strictly Local Framework: Metrical Dominance and Floating Tones Zhu, Yuhong In: Proceedings of the Society for Computation in Linguistics (2020) BASE Show details 14 Frequency Matching Behavior in On-line MaxEnt Learners O'Hara, Charlie In: Proceedings of the Society for Computation in Linguistics (2020) BASE Show details 15 The stability of segmental properties across genre and corpus types in low-resource languages Cohen Priva, Uriel; Yang, Shiying; Strand, Emily In: Proceedings of the Society for Computation in Linguistics (2020) BASE Show details 16 Modelling Non-local Maps as Strictly Piecewise Functions Burness, Phillip A; McMullin, Kevin In: Proceedings of the Society for Computation in Linguistics (2020) BASE Show details 17 Multi-Input Strict Local Functions for Tonal Phonology Rawski, Jonathan; Dolatian, Hossep In: Proceedings of the Society for Computation in Linguistics (2020) BASE Show details 18 Questioning to Resolve Transduction Problems Meinhardt, Eric; Mai, Anna; Bakovic, Eric... In: Proceedings of the Society for Computation in Linguistics (2020) BASE Show details 19 Data for: Word frequency effects in sound change as a consequence of perceptual asymmetries: An exemplar-based model ... Todd, Simon. - : Mendeley, 2019 BASE Show details 20 Data for: Word frequency effects in sound change as a consequence of perceptual asymmetries: An exemplar-based model ... Todd, Simon. - : Mendeley, 2019 BASE Show details Page: 1 2 3

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