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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 27 1 AUTOLEX: An Automatic Framework for Linguistic Exploration ... Chaudhary, Aditi; Sheikh, Zaid; Mortensen, David R. - : arXiv, 2022 BASE Show details 2 SD-QA: Spoken Dialectal Question Answering for the Real World ... Faisal, Fahim; Keshava, Sharlina; Alam, Md Mahfuz ibn. - : arXiv, 2021 BASE Show details 3 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 4 Machine Translation into Low-resource Language Varieties ... Kumar, Sachin; Anastasopoulos, Antonios; Wintner, Shuly. - : arXiv, 2021 BASE Show details 5 Code to Comment Translation: A Comparative Study on Model Effectiveness & Errors ... Mahmud, Junayed; Faisal, Fahim; Arnob, Raihan Islam. - : arXiv, 2021 BASE Show details 6 Systematic Inequalities in Language Technology Performance across the World's Languages ... Blasi, Damián; Anastasopoulos, Antonios; Neubig, Graham. - : arXiv, 2021 BASE Show details 7 Multilingual Code-Switching for Zero-Shot Cross-Lingual Intent Prediction and Slot Filling ... Krishnan, Jitin; Anastasopoulos, Antonios; Purohit, Hemant. - : arXiv, 2021 BASE Show details 8 Investigating Post-pretraining Representation Alignment for Cross-Lingual Question Answering ... Faisal, Fahim; Anastasopoulos, Antonios. - : arXiv, 2021 BASE Show details 9 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 10 Cross-Lingual Text Classification of Transliterated Hindi and Malayalam ... Krishnan, Jitin; Anastasopoulos, Antonios; Purohit, Hemant. - : arXiv, 2021 BASE Show details 11 Evaluating the Morphosyntactic Well-formedness of Generated Texts ... Pratapa, Adithya; Anastasopoulos, Antonios; Rijhwani, Shruti. - : arXiv, 2021 BASE Show details 12 Lexically Aware Semi-Supervised Learning for OCR Post-Correction ... Rijhwani, Shruti; Rosenblum, Daisy; Anastasopoulos, Antonios. - : arXiv, 2021 BASE Show details 13 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 14 AlloVera: A Multilingual Allophone Database ... Mortensen, David R.; Li, Xinjian; Littell, Patrick. - : arXiv, 2020 BASE Show details 15 Towards Minimal Supervision BERT-based Grammar Error Correction ... Li, Yiyuan; Anastasopoulos, Antonios; Black, Alan W. - : arXiv, 2020 BASE Show details 16 SIGMORPHON 2020 Shared Task 0: Typologically Diverse Morphological Inflection ... Vylomova, Ekaterina; White, Jennifer; Salesky, Elizabeth. - : arXiv, 2020 BASE Show details 17 It's not a Non-Issue: Negation as a Source of Error in Machine Translation ... Hossain, Md Mosharaf; Anastasopoulos, Antonios; Blanco, Eduardo. - : arXiv, 2020 BASE Show details 18 Automatic Extraction of Rules Governing Morphological Agreement ... Chaudhary, Aditi; Anastasopoulos, Antonios; Pratapa, Adithya. - : arXiv, 2020 BASE Show details 19 A Summary of the First Workshop on Language Technology for Language Documentation and Revitalization ... Neubig, Graham; Rijhwani, Shruti; Palmer, Alexis. - : arXiv, 2020 BASE Show details 20 Universal Phone Recognition with a Multilingual Allophone System ... Li, Xinjian; Dalmia, Siddharth; Li, Juncheng; Lee, Matthew; Littell, Patrick; Yao, Jiali; Anastasopoulos, Antonios; Mortensen, David R.; Neubig, Graham; Black, Alan W; Metze, Florian. - : arXiv, 2020 Abstract: Multilingual models can improve language processing, particularly for low resource situations, by sharing parameters across languages. Multilingual acoustic models, however, generally ignore the difference between phonemes (sounds that can support lexical contrasts in a particular language) and their corresponding phones (the sounds that are actually spoken, which are language independent). This can lead to performance degradation when combining a variety of training languages, as identically annotated phonemes can actually correspond to several different underlying phonetic realizations. In this work, we propose a joint model of both language-independent phone and language-dependent phoneme distributions. In multilingual ASR experiments over 11 languages, we find that this model improves testing performance by 2% phoneme error rate absolute in low-resource conditions. Additionally, because we are explicitly modeling language-independent phones, we can build a (nearly-)universal phone recognizer that, when ... : ICASSP 2020 ... Keyword: Audio and Speech Processing eess.AS; Computation and Language cs.CL; FOS Computer and information sciences; FOS Electrical engineering, electronic engineering, information engineering; Sound cs.SD URL: https://arxiv.org/abs/2002.11800 https://dx.doi.org/10.48550/arxiv.2002.11800 BASE Hide details Page: 1 2

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