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AUTOLEX: An Automatic Framework for Linguistic Exploration ...
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When Being Unseen from mBERT is just the Beginning: Handling New Languages With Multilingual Language Models
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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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SD-QA: Spoken Dialectal Question Answering for the Real World ...
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SD-QA: Spoken Dialectal Question Answering for the Real World ...
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Abstract:
Question answering (QA) systems are now available through numerous commercial applications for a wide variety of domains, serving millions of users that interact with them via speech interfaces. However, current benchmarks in QA research do not account for the errors that speech recognition models might introduce, nor do they consider the language variations (dialects) of the users. To address this gap, we augment an existing QA dataset to construct a multi-dialect, spoken QA benchmark on five languages (Arabic, Bengali, English, Kiswahili, Korean) with more than 68k audio prompts in 24 dialects from 255 speakers. We provide baseline results showcasing the real-world performance of QA systems and analyze the effect of language variety and other sensitive speaker attributes on downstream performance. Last, we study the fairness of the ASR and QA models with respect to the underlying user populations. The dataset, model outputs, and code for reproducing all our experiments are available: ... : EMNLP 2021 Findings ...
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Keyword:
Computation and Language cs.CL; FOS Computer and information sciences
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URL: https://arxiv.org/abs/2109.12072 https://dx.doi.org/10.48550/arxiv.2109.12072
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Phoneme Recognition through Fine Tuning of Phonetic Representations: a Case Study on Luhya Language Varieties ...
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Machine Translation into Low-resource Language Varieties ...
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Code to Comment Translation: A Comparative Study on Model Effectiveness & Errors ...
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Systematic Inequalities in Language Technology Performance across the World's Languages ...
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Multilingual Code-Switching for Zero-Shot Cross-Lingual Intent Prediction and Slot Filling ...
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Investigating Post-pretraining Representation Alignment for Cross-Lingual Question Answering ...
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Towards More Equitable Question Answering Systems: How Much More Data Do You Need? ...
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Cross-Lingual Text Classification of Transliterated Hindi and Malayalam ...
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Evaluating the Morphosyntactic Well-formedness of Generated Texts ...
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Evaluating the Morphosyntactic Well-formedness of Generated Texts ...
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Towards more equitable question answering systems: How much more data do you need? ...
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Lexically Aware Semi-Supervised Learning for OCR Post-Correction ...
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When is Wall a Pared and when a Muro? -- Extracting Rules Governing Lexical Selection ...
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When is Wall a Pared and when a Muro?: Extracting Rules Governing Lexical Selection ...
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Lexically-Aware Semi-Supervised Learning for OCR Post-Correction ...
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AlloVera: a multilingual allophone database
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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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