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1
What transfers in morphological inflection? Experiments with analogical models ...
BASE
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2
Quantifying Paradigm Shape in Spanish Verbs
LeFevre, Grace. - : The Ohio State University, 2021
BASE
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3
Formalizing Inflectional Paradigm Shape with Information Theory
In: Proceedings of the Society for Computation in Linguistics (2021)
BASE
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4
When context is and isn’t helpful: A corpus study of naturalistic speech [<Journal>]
Hitczenko, Kasia [Verfasser]; Mazuka, Reiko [Verfasser]; Elsner, Micha [Verfasser].
DNB Subject Category Language
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5
The Paradigm Discovery Problem ...
Erdmann, Alexander; Elsner, Micha; Wu, Shijie. - : ETH Zurich, 2020
BASE
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6
The Paradigm Discovery Problem
In: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (2020)
BASE
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7
Interpreting Sequence-to-Sequence Models for Russian Inflectional Morphology
In: Proceedings of the Society for Computation in Linguistics (2020)
BASE
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8
Stop the Morphological Cycle, I Want to Get Off: Modeling the Development of Fusion
In: Proceedings of the Society for Computation in Linguistics (2020)
BASE
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9
Normalization may be ineffective for phonetic category learning ...
Hitczenko, Kasia; Mazuka, Reiko; Elsner, Micha. - : University of Massachusetts Amherst, 2019
BASE
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10
Normalization may be ineffective for phonetic category learning
In: Proceedings of the Society for Computation in Linguistics (2019)
BASE
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11
Lexical Networks in !Xung and Ju
Hussain, Syed-Amad. - : The Ohio State University, 2018
BASE
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12
Proceedings of the 41th Annual Boston University Conference on Language Development [held November 4-6, 2016, in Boston] 1. 1
In: 1 (2017), S. 32-45
Leibniz-Zentrum Allgemeine Sprachwissenschaft
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13
Giving Good Directions: Order of Mention Reflects Visual Salience
Clarke, Alasdair D. F.; Elsner, Micha; Rohde, Hannah. - : Frontiers Media S.A., 2015
Abstract: In complex stimuli, there are many different possible ways to refer to a specified target. Previous studies have shown that when people are faced with such a task, the content of their referring expression reflects visual properties such as size, salience, and clutter. Here, we extend these findings and present evidence that (i) the influence of visual perception on sentence construction goes beyond content selection and in part determines the order in which different objects are mentioned and (ii) order of mention influences comprehension. Study 1 (a corpus study of reference productions) shows that when a speaker uses a relational description to mention a salient object, that object is treated as being in the common ground and is more likely to be mentioned first. Study 2 (a visual search study) asks participants to listen to referring expressions and find the specified target; in keeping with the above result, we find that search for easy-to-find targets is faster when the target is mentioned first, while search for harder-to-find targets is facilitated by mentioning the target later, after a landmark in a relational description. Our findings show that seemingly low-level and disparate mental “modules” like perception and sentence planning interact at a high level and in task-dependent ways.
Keyword: Psychology
URL: https://doi.org/10.3389/fpsyg.2015.01793
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4674625/
http://www.ncbi.nlm.nih.gov/pubmed/26696914
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14
Giving Good Directions: Order of Mention Reflects Visual Salience
Clarke, Alasdair DF; Elsner, Micha; Rohde, Hannah. - : Frontiers Media, 2015
BASE
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15
POS induction with distributional and morphological information using a distance-dependent Chinese Restaurant Process
Sirts, Kairit; Eisenstein, Jacob; Elsner, Micha. - : Stroudsburg, PA : Association for Computational Linguistics, 2014
BASE
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16
Where's Wally: the influence of visual salience on referring expression generation
Clarke, Alasdair D. F.; Elsner, Micha; Rohde, Hannah. - : Frontiers Media S.A., 2013
BASE
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17
EM works for pronoun anaphora resolution
In: Association for Computational Linguistics / European Chapter. Conference of the European Chapter of the Association for Computational Linguistics. - Menlo Park, Calif. : ACL 12 (2009), 148-156
BLLDB
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18
Structured generative models for unsupervised named-entity clustering
Elsner, Micha; Charniak, Eugene; Johnson, Mark. - : East Stroudsburg, PA : Association for Computational Linguistics, 2009
BASE
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