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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 Hits 1 – 20 of 38 1 AUTOLEX: An Automatic Framework for Linguistic Exploration ... Chaudhary, Aditi; Sheikh, Zaid; Mortensen, David R. - : arXiv, 2022 BASE Show details 2 When Being Unseen from mBERT is just the Beginning: Handling New Languages With Multilingual Language Models Muller, Benjamin; Anastasopoulos, Antonios; Sagot, Benoît... 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) BASE Show details 3 SD-QA: Spoken Dialectal Question Answering for the Real World ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Alam, Md Mahfuz Ibn; Anastasopoulos, Antonios. - : Underline Science Inc., 2021 BASE Show details 4 SD-QA: Spoken Dialectal Question Answering for the Real World ... Faisal, Fahim; Keshava, Sharlina; Alam, Md Mahfuz ibn; Anastasopoulos, Antonios. - : arXiv, 2021 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 ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences URL: https://arxiv.org/abs/2109.12072 https://dx.doi.org/10.48550/arxiv.2109.12072 BASE Hide details 5 Phoneme Recognition through Fine Tuning of Phonetic Representations: a Case Study on Luhya Language Varieties ... Siminyu, Kathleen; Li, Xinjian; Anastasopoulos, Antonios. - : arXiv, 2021 BASE Show details 6 Machine Translation into Low-resource Language Varieties ... Kumar, Sachin; Anastasopoulos, Antonios; Wintner, Shuly. - : arXiv, 2021 BASE Show details 7 Code to Comment Translation: A Comparative Study on Model Effectiveness & Errors ... Mahmud, Junayed; Faisal, Fahim; Arnob, Raihan Islam. - : arXiv, 2021 BASE Show details 8 Systematic Inequalities in Language Technology Performance across the World's Languages ... Blasi, Damián; Anastasopoulos, Antonios; Neubig, Graham. - : arXiv, 2021 BASE Show details 9 Multilingual Code-Switching for Zero-Shot Cross-Lingual Intent Prediction and Slot Filling ... Krishnan, Jitin; Anastasopoulos, Antonios; Purohit, Hemant. - : arXiv, 2021 BASE Show details 10 Investigating Post-pretraining Representation Alignment for Cross-Lingual Question Answering ... Faisal, Fahim; Anastasopoulos, Antonios. - : arXiv, 2021 BASE Show details 11 Towards More Equitable Question Answering Systems: How Much More Data Do You Need? ... Debnath, Arnab; Rajabi, Navid; Alam, Fardina Fathmiul. - : arXiv, 2021 BASE Show details 12 Cross-Lingual Text Classification of Transliterated Hindi and Malayalam ... Krishnan, Jitin; Anastasopoulos, Antonios; Purohit, Hemant. - : arXiv, 2021 BASE Show details 13 Evaluating the Morphosyntactic Well-formedness of Generated Texts ... Pratapa, Adithya; Anastasopoulos, Antonios; Rijhwani, Shruti. - : arXiv, 2021 BASE Show details 14 Evaluating the Morphosyntactic Well-formedness of Generated Texts ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Anastasopoulos, Antonios; Chaudhary, Aditi. - : Underline Science Inc., 2021 BASE Show details 15 Towards more equitable question answering systems: How much more data do you need? ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Alam, Fardina Fathmiul; Anastasopoulos, Antonios. - : Underline Science Inc., 2021 BASE Show details 16 Lexically Aware Semi-Supervised Learning for OCR Post-Correction ... Rijhwani, Shruti; Rosenblum, Daisy; Anastasopoulos, Antonios. - : arXiv, 2021 BASE Show details 17 When is Wall a Pared and when a Muro? -- Extracting Rules Governing Lexical Selection ... Chaudhary, Aditi; Yin, Kayo; Anastasopoulos, Antonios. - : arXiv, 2021 BASE Show details 18 When is Wall a Pared and when a Muro?: Extracting Rules Governing Lexical Selection ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Anastasopoulos, Antonios; Chaudhary, Aditi. - : Underline Science Inc., 2021 BASE Show details 19 Lexically-Aware Semi-Supervised Learning for OCR Post-Correction ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Anastasopoulos, Antonios; Neubig, Graham. - : Underline Science Inc., 2021 BASE Show details 20 AlloVera: a multilingual allophone database Mortensen, David,; Li, Xinjian; Littell, Patrick... 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) BASE Show details Page: 1 2

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