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1
AUTOLEX: An Automatic Framework for Linguistic Exploration ...
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SD-QA: Spoken Dialectal Question Answering for the Real World ...
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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
Machine Translation into Low-resource Language Varieties ...
Abstract: State-of-the-art machine translation (MT) systems are typically trained to generate the "standard" target language; however, many languages have multiple varieties (regional varieties, dialects, sociolects, non-native varieties) that are different from the standard language. Such varieties are often low-resource, and hence do not benefit from contemporary NLP solutions, MT included. We propose a general framework to rapidly adapt MT systems to generate language varieties that are close to, but different from, the standard target language, using no parallel (source--variety) data. This also includes adaptation of MT systems to low-resource typologically-related target languages. We experiment with adapting an English--Russian MT system to generate Ukrainian and Belarusian, an English--Norwegian Bokmål system to generate Nynorsk, and an English--Arabic system to generate four Arabic dialects, obtaining significant improvements over competitive baselines. ... : The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021) ...
Keyword: Computation and Language cs.CL; FOS Computer and information sciences
URL: https://arxiv.org/abs/2106.06797
https://dx.doi.org/10.48550/arxiv.2106.06797
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5
Code to Comment Translation: A Comparative Study on Model Effectiveness & Errors ...
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6
Systematic Inequalities in Language Technology Performance across the World's Languages ...
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7
Multilingual Code-Switching for Zero-Shot Cross-Lingual Intent Prediction and Slot Filling ...
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8
Investigating Post-pretraining Representation Alignment for Cross-Lingual Question Answering ...
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9
Towards More Equitable Question Answering Systems: How Much More Data Do You Need? ...
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10
Cross-Lingual Text Classification of Transliterated Hindi and Malayalam ...
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11
Evaluating the Morphosyntactic Well-formedness of Generated Texts ...
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12
Lexically Aware Semi-Supervised Learning for OCR Post-Correction ...
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13
When is Wall a Pared and when a Muro? -- Extracting Rules Governing Lexical Selection ...
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14
AlloVera: A Multilingual Allophone Database ...
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15
Towards Minimal Supervision BERT-based Grammar Error Correction ...
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16
SIGMORPHON 2020 Shared Task 0: Typologically Diverse Morphological Inflection ...
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17
It's not a Non-Issue: Negation as a Source of Error in Machine Translation ...
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18
Automatic Extraction of Rules Governing Morphological Agreement ...
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19
A Summary of the First Workshop on Language Technology for Language Documentation and Revitalization ...
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20
Universal Phone Recognition with a Multilingual Allophone System ...
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