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1
Morphological Processing of Low-Resource Languages: Where We Are and What's Next ...
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2
Match the Script, Adapt if Multilingual: Analyzing the Effect of Multilingual Pretraining on Cross-lingual Transferability ...
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3
Don't Rule Out Monolingual Speakers: A Method For Crowdsourcing Machine Translation Data ...
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4
Findings of the LoResMT 2021 Shared Task on COVID and Sign Language for Low-resource Languages ...
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5
How to Adapt Your Pretrained Multilingual Model to 1600 Languages ...
Ebrahimi, Abteen; Kann, Katharina. - : arXiv, 2021
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6
Findings of the AmericasNLP 2021 Shared Task on Open Machine Translation for Indigenous Languages of the Americas ...
Mager, Manuel; Oncevay, Arturo; Ebrahimi, Abteen. - : Association for Computational Linguistics, 2021
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7
{PROST}: {P}hysical Reasoning about Objects through Space and Time ...
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8
Don't Rule Out Monolingual Speakers: A Method For Crowdsourcing Machine Translation Data ...
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9
What Would a Teacher Do? {P}redicting Future Talk Moves ...
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10
How to Adapt Your Pretrained Multilingual Model to 1600 Languages ...
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11
AmericasNLI: Evaluating Zero-shot Natural Language Understanding of Pretrained Multilingual Models in Truly Low-resource Languages ...
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12
CLiMP: A Benchmark for Chinese Language Model Evaluation ...
Xiang, Beilei; Yang, Changbing; Li, Yu. - : arXiv, 2021
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13
Proceedings of the First Workshop on Natural Language Processing for Indigenous Languages of the Americas
In: Proceedings of the First Workshop on Natural Language Processing for Indigenous Languages of the Americas. Edited by: Mager, Manuel; Oncevay, Arturo; Rios, Annette; Meza Ruiz, Ivan Vladimir; Palmer, Alexis; Neubig, Graham; Kann, Katharina (2021). Online: Association for Computational Linguistics. (2021)
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14
Unsupervised Morphological Paradigm Completion ...
Jin, Huiming; Cai, Liwei; Peng, Yihui. - : arXiv, 2020
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15
Learning to Learn Morphological Inflection for Resource-Poor Languages ...
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16
Acquisition of Inflectional Morphology in Artificial Neural Networks With Prior Knowledge
In: Proceedings of the Society for Computation in Linguistics (2020)
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17
Neural sequence-to-sequence models for low-resource morphology
Kann, Katharina [Verfasser]; Schütze, Hinrich [Akademischer Betreuer]. - München : Universitätsbibliothek der Ludwig-Maximilians-Universität, 2019
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18
Probing for Semantic Classes: Diagnosing the Meaning Content of Word Embeddings
Yaghoobzadeh, Yadollah; Kann, Katharina; Hazen, Timothy. - : Ludwig-Maximilians-Universität München, 2019
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19
Probing for Semantic Classes: Diagnosing the Meaning Content of Word Embeddings ...
Yaghoobzadeh, Yadollah; Kann, Katharina; Hazen, Timothy. - : Association for Computational Linguistics, 2019
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20
Acquisition of Inflectional Morphology in Artificial Neural Networks With Prior Knowledge ...
Kann, Katharina. - : arXiv, 2019
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