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• W3120628641 abstract "This paper describes the ADAPT Centre’s submissions to the WMT20 News translation shared task for English-to-Tamil and Tamil-to-English. We present our machine translation (MT) systems that were built using the state-of-the-art neural MT (NMT) model, Transformer. We applied various strategies in order to improve our baseline MT systems, e.g. onolin- gual sentence selection for creating synthetic training data, mining monolingual sentences for adapting our MT systems to the task, hyperparameters search for Transformer in lowresource scenarios. Our experiments show that adding the aforementioned techniques to the baseline yields an excellent performance in the English-to-Tamil and Tamil-to-English translation tasks." @default.
• W3120628641 created "2021-01-18" @default.
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• W3120628641 date "2020-11-01" @default.
• W3120628641 modified "2023-09-23" @default.
• W3120628641 title "The ADAPT System Description for the WMT20 News Translation Task" @default.
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• W3120628641 hasPublicationYear "2020" @default.
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