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Speaker Information Can Guide Models to Better Inductive Biases: A Case Study On Predicting Code-Switching ...
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Machine Translation into Low-resource Language Varieties ...
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Abstract:
State-of-the-art machine translation (MT) systems are typically trained to generate the "standard" target language; however, many languages have multiple varieties (regional varieties, dialects, sociolects, non-native varieties) that are different from the standard language. Such varieties are often low-resource, and hence do not benefit from contemporary NLP solutions, MT included. We propose a general framework to rapidly adapt MT systems to generate language varieties that are close to, but different from, the standard target language, using no parallel (source--variety) data. This also includes adaptation of MT systems to low-resource typologically-related target languages. We experiment with adapting an English--Russian MT system to generate Ukrainian and Belarusian, an English--Norwegian Bokmål system to generate Nynorsk, and an English--Arabic system to generate four Arabic dialects, obtaining significant improvements over competitive baselines. ... : The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021) ...
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Keyword:
Computation and Language cs.CL; FOS Computer and information sciences
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URL: https://arxiv.org/abs/2106.06797 https://dx.doi.org/10.48550/arxiv.2106.06797
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Representation and parsing of multiword expressions: Current trends
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In: Language Science Press; (2019)
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Representation and parsing of multiword expressions: Current trends
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In: Language Science Press; (2019)
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Representation and parsing of multiword expressions: Current trends
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In: Language Science Press; (2019)
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Representation and parsing of multiword expressions: Current trends
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In: Language Science Press; (2019)
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Representation and parsing of multiword expressions: Current trends
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In: Language Science Press; (2019)
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Representation and parsing of multiword expressions: Current trends
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In: Language Science Press; (2019)
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Representation and parsing of multiword expressions: Current trends
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In: Language Science Press; (2019)
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Representation and parsing of multiword expressions: Current trends
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In: Language Science Press; (2019)
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Representation and parsing of multiword expressions: Current trends
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In: Language Science Press; (2019)
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Representation and parsing of multiword expressions: Current trends
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In: Language Science Press; (2019)
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Representation and parsing of multiword expressions: Current trends
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In: Language Science Press; (2019)
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Representation and parsing of multiword expressions: Current trends
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In: Language Science Press; (2019)
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Representation and parsing of multiword expressions: Current trends
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In: Language Science Press; (2019)
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Representation and parsing of multiword expressions: Current trends
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In: Language Science Press; (2019)
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Representation and parsing of multiword expressions: Current trends
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In: Language Science Press; (2019)
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Representation and parsing of multiword expressions: Current trends
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In: Language Science Press; (2019)
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Representation and parsing of multiword expressions: Current trends
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In: Language Science Press; (2019)
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