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Hits 1 – 19 of 19

1
AUTOLEX: An Automatic Framework for Linguistic Exploration ...
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2
Phoneme Recognition through Fine Tuning of Phonetic Representations: a Case Study on Luhya Language Varieties ...
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3
Systematic Inequalities in Language Technology Performance across the World's Languages ...
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4
Evaluating the Morphosyntactic Well-formedness of Generated Texts ...
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5
Evaluating the Morphosyntactic Well-formedness of Generated Texts ...
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6
Lexically Aware Semi-Supervised Learning for OCR Post-Correction ...
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7
When is Wall a Pared and when a Muro? -- Extracting Rules Governing Lexical Selection ...
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8
When is Wall a Pared and when a Muro?: Extracting Rules Governing Lexical Selection ...
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9
Lexically-Aware Semi-Supervised Learning for OCR Post-Correction ...
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10
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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11
AlloVera: A Multilingual Allophone Database ...
Abstract: We introduce a new resource, AlloVera, which provides mappings from 218 allophones to phonemes for 14 languages. Phonemes are contrastive phonological units, and allophones are their various concrete realizations, which are predictable from phonological context. While phonemic representations are language specific, phonetic representations (stated in terms of (allo)phones) are much closer to a universal (language-independent) transcription. AlloVera allows the training of speech recognition models that output phonetic transcriptions in the International Phonetic Alphabet (IPA), regardless of the input language. We show that a "universal" allophone model, Allosaurus, built with AlloVera, outperforms "universal" phonemic models and language-specific models on a speech-transcription task. We explore the implications of this technology (and related technologies) for the documentation of endangered and minority languages. We further explore other applications for which AlloVera will be suitable as it grows, ... : 8 pages, LREC 2020 ...
Keyword: Computation and Language cs.CL; FOS Computer and information sciences
URL: https://dx.doi.org/10.48550/arxiv.2004.08031
https://arxiv.org/abs/2004.08031
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12
Automatic Extraction of Rules Governing Morphological Agreement ...
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13
A Summary of the First Workshop on Language Technology for Language Documentation and Revitalization ...
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14
Universal Phone Recognition with a Multilingual Allophone System ...
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15
X-FACTR: Multilingual Factual Knowledge Retrieval from Pretrained Language Models ...
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16
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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17
Generalized Data Augmentation for Low-Resource Translation ...
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18
Pushing the Limits of Low-Resource Morphological Inflection ...
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19
Should All Cross-Lingual Embeddings Speak English? ...
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