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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; Mielke, Sabrina J.; Wu, Shijie; Ponti, Edoardo; Maudslay, Rowan Hall; Zmigrod, Ran; Valvoda, Josef; Toldova, Svetlana; Tyers, Francis; Klyachko, Elena; Yegorov, Ilya; Krizhanovsky, Natalia; Czarnowska, Paula; Nikkarinen, Irene; Krizhanovsky, Andrew; Pimentel, Tiago; Hennigen, Lucas Torroba; Kirov, Christo; Nicolai, Garrett; Williams, Adina; Anastasopoulos, Antonios; Cruz, Hilaria; Chodroff, Eleanor; Cotterell, Ryan; Silfverberg, Miikka; Hulden, Mans. - : arXiv, 2020 Abstract: A broad goal in natural language processing (NLP) is to develop a system that has the capacity to process any natural language. Most systems, however, are developed using data from just one language such as English. The SIGMORPHON 2020 shared task on morphological reinflection aims to investigate systems' ability to generalize across typologically distinct languages, many of which are low resource. Systems were developed using data from 45 languages and just 5 language families, fine-tuned with data from an additional 45 languages and 10 language families (13 in total), and evaluated on all 90 languages. A total of 22 systems (19 neural) from 10 teams were submitted to the task. All four winning systems were neural (two monolingual transformers and two massively multilingual RNN-based models with gated attention). Most teams demonstrate utility of data hallucination and augmentation, ensembles, and multilingual training for low-resource languages. Non-neural learners and manually designed grammars showed ... : 39 pages, SIGMORPHON ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences URL: https://dx.doi.org/10.48550/arxiv.2006.11572 https://arxiv.org/abs/2006.11572 BASE Hide 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. - : arXiv, 2020 BASE Show details Page: 1 2

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