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Morphological Processing of Low-Resource Languages: Where We Are and What's Next ...
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Match the Script, Adapt if Multilingual: Analyzing the Effect of Multilingual Pretraining on Cross-lingual Transferability ...
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Don't Rule Out Monolingual Speakers: A Method For Crowdsourcing Machine Translation Data ...
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Findings of the LoResMT 2021 Shared Task on COVID and Sign Language for Low-resource Languages ...
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How to Adapt Your Pretrained Multilingual Model to 1600 Languages ...
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AmericasNLI: Evaluating Zero-shot Natural Language Understanding of Pretrained Multilingual Models in Truly Low-resource Languages ...
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CLiMP: A Benchmark for Chinese Language Model Evaluation ...
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Learning to Learn Morphological Inflection for Resource-Poor Languages ...
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Acquisition of Inflectional Morphology in Artificial Neural Networks With Prior Knowledge ...
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Grammatical Gender, Neo-Whorfianism, and Word Embeddings: A Data-Driven Approach to Linguistic Relativity ...
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Fortification of Neural Morphological Segmentation Models for Polysynthetic Minimal-Resource Languages ...
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Verb Argument Structure Alternations in Word and Sentence Embeddings ...
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One-Shot Neural Cross-Lingual Transfer for Paradigm Completion ...
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