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Hits 1 – 3 of 3
1
What transfers in morphological inflection? Experiments with analogical models ...
The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021
;
Elsner, Micha
. - : Underline Science Inc., 2021
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
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3
Formalizing Inflectional Paradigm Shape with Information Theory
LeFevre, Grace
;
Elsner, Micha
;
Sims, Andrea D
In: Proceedings of the Society for Computation in Linguistics (2021)
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