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1
What transfers in morphological inflection? Experiments with analogical models ...
Abstract: This paper investigates how abstract processes like suffixation can be learned from morphological inflection task data using an analogical memory-based framework. In this framework, the inflection target form is specified by providing an example inflection of another word in the language. This model is capable of near-baseline performance on the Sig-Morphon 2020 inflection challenge. Such a model can make predictions for unseen languages, allowing one-shot inflection for natural languages and the investigation of morphological transfer with synthetic probes. Accuracy for one-shot transfer can be unexpectedly high for some target languages (88% in Shona)and language families (53% across Romance). Probe experiments show that the model learns partially generalizable representations of prefixation, suffixation and reduplication, aiding its ability to transfer. The paper argues that the degree of generality of these process representations also helps to explain transfer results from previous research. ...
Keyword: Computational Linguistics; Condensed Matter Physics; Electromagnetism; FOS Physical sciences; Information and Knowledge Engineering; Neural Network; Semantics
URL: https://underline.io/lecture/30080-what-transfers-in-morphological-inflectionquestion-experiments-with-analogical-models
https://dx.doi.org/10.48448/fc95-4x50
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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)
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9
Normalization may be ineffective for phonetic category learning ...
Hitczenko, Kasia; Mazuka, Reiko; Elsner, Micha. - : University of Massachusetts Amherst, 2019
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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
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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
BASE
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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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