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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; Mortensen, David R.; Sheikh, Zaid; Tsvetkov, Yulia; Neubig, Graham. - : arXiv, 2020 Abstract: Creating a descriptive grammar of a language is an indispensable step for language documentation and preservation. However, at the same time it is a tedious, time-consuming task. In this paper, we take steps towards automating this process by devising an automated framework for extracting a first-pass grammatical specification from raw text in a concise, human- and machine-readable format. We focus on extracting rules describing agreement, a morphosyntactic phenomenon at the core of the grammars of many of the world's languages. We apply our framework to all languages included in the Universal Dependencies project, with promising results. Using cross-lingual transfer, even with no expert annotations in the language of interest, our framework extracts a grammatical specification which is nearly equivalent to those created with large amounts of gold-standard annotated data. We confirm this finding with human expert evaluations of the rules that our framework produces, which have an average accuracy of 78%. We ... : Accepted at EMNLP 2020 ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences URL: https://arxiv.org/abs/2010.01160 https://dx.doi.org/10.48550/arxiv.2010.01160 BASE Hide 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. - : arXiv, 2020 BASE Show details Page: 1 2

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