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Learning the Ordering of Coordinate Compounds and Elaborate Expressions in Hmong, Lahu, and Chinese ...
Abstract: Coordinate compounds (CCs) and elaborate expressions (EEs) are coordinate constructions common in languages of East and Southeast Asia. Mortensen (2006) claims that (1) the linear ordering of EEs and CCs in Hmong, Lahu, and Chinese can be predicted via phonological hierarchies and (2) these phonological hierarchies lack a clear phonetic rationale. These claims are significant because morphosyntax has often been seen as in a feed-forward relationship with phonology, and phonological generalizations have often been assumed to be phonetically "natural". We investigate whether the ordering of CCs and EEs can be learned empirically and whether computational models (classifiers and sequence labeling models) learn unnatural hierarchies similar to those posited by Mortensen (2006). We find that decision trees and SVMs learn to predict the order of CCs/EEs on the basis of phonology, with DTs learning hierarchies strikingly similar to those proposed by Mortensen. However, we also find that a neural sequence labeling ... : To be published in NAACL2022 ...
Keyword: Artificial Intelligence cs.AI; Computation and Language cs.CL; FOS Computer and information sciences
URL: https://arxiv.org/abs/2204.04080
https://dx.doi.org/10.48550/arxiv.2204.04080
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2
AUTOLEX: An Automatic Framework for Linguistic Exploration ...
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3
Phoneme Recognition through Fine Tuning of Phonetic Representations: a Case Study on Luhya Language Varieties ...
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4
Evaluating the Morphosyntactic Well-formedness of Generated Texts ...
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5
Tusom2021: A Phonetically Transcribed Speech Dataset from an Endangered Language for Universal Phone Recognition Experiments ...
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6
Evaluating the Morphosyntactic Well-formedness of Generated Texts ...
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7
Quantifying Cognitive Factors in Lexical Decline ...
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8
Differentiable Allophone Graphs for Language-Universal Speech Recognition ...
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9
AlloVera: a multilingual allophone database
In: LREC 2020: 12th Language Resources and Evaluation Conference ; https://halshs.archives-ouvertes.fr/halshs-02527046 ; LREC 2020: 12th Language Resources and Evaluation Conference, European Language Resources Association, May 2020, Marseille, France ; https://lrec2020.lrec-conf.org/ (2020)
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10
AlloVera: A Multilingual Allophone Database ...
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11
Towards Zero-shot Learning for Automatic Phonemic Transcription ...
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12
Automatic Extraction of Rules Governing Morphological Agreement ...
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13
Where New Words Are Born: Distributional Semantic Analysis of Neologisms and Their Semantic Neighborhoods ...
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14
Universal Phone Recognition with a Multilingual Allophone System ...
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15
Cross-Cultural Similarity Features for Cross-Lingual Transfer Learning of Pragmatically Motivated Tasks ...
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16
Characterizing Sociolinguistic Variation in the Competing Vaccination Communities ...
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AlloVera: a multilingual allophone database
In: LREC 2020: 12th Language Resources and Evaluation Conference ; https://halshs.archives-ouvertes.fr/halshs-02527046 ; LREC 2020: 12th Language Resources and Evaluation Conference, European Language Resources Association, May 2020, Marseille, France ; https://lrec2020.lrec-conf.org/ (2020)
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18
Where New Words Are Born: Distributional Semantic Analysis of Neologisms and Their Semantic Neighborhoods
In: Proceedings of the Society for Computation in Linguistics (2020)
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19
Using Interlinear Glosses as Pivot in Low-Resource Multilingual Machine Translation ...
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20
Adapting Word Embeddings to New Languages with Morphological and Phonological Subword Representations ...
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