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1
When Being Unseen from mBERT is just the Beginning: Handling New Languages With Multilingual Language Models
In: NAACL-HLT 2021 - 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies ; https://hal.inria.fr/hal-03251105 ; NAACL-HLT 2021 - 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Jun 2021, Mexico City, Mexico (2021)
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2
SD-QA: Spoken Dialectal Question Answering for the Real World ...
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3
SD-QA: Spoken Dialectal Question Answering for the Real World ...
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4
Phoneme Recognition through Fine Tuning of Phonetic Representations: a Case Study on Luhya Language Varieties ...
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5
Machine Translation into Low-resource Language Varieties ...
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6
Code to Comment Translation: A Comparative Study on Model Effectiveness & Errors ...
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7
Systematic Inequalities in Language Technology Performance across the World's Languages ...
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8
Multilingual Code-Switching for Zero-Shot Cross-Lingual Intent Prediction and Slot Filling ...
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9
Investigating Post-pretraining Representation Alignment for Cross-Lingual Question Answering ...
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10
Towards More Equitable Question Answering Systems: How Much More Data Do You Need? ...
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11
Cross-Lingual Text Classification of Transliterated Hindi and Malayalam ...
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12
Evaluating the Morphosyntactic Well-formedness of Generated Texts ...
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13
Evaluating the Morphosyntactic Well-formedness of Generated Texts ...
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14
Towards more equitable question answering systems: How much more data do you need? ...
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15
Lexically Aware Semi-Supervised Learning for OCR Post-Correction ...
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16
When is Wall a Pared and when a Muro? -- Extracting Rules Governing Lexical Selection ...
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17
When is Wall a Pared and when a Muro?: Extracting Rules Governing Lexical Selection ...
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18
Lexically-Aware Semi-Supervised Learning for OCR Post-Correction ...
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