Papers with character-based neural machine translation

1 papers
Understanding Pure Character-Based Neural Machine Translation: The Case of Translating Finnish into English (2020.coling-main)

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Challenge: Recent work shows that deeper character-based neural machine translation models outperform subword-based models.
Approach: They propose to investigate the ability of character-based models to learn word senses and morphological inflections and the attention mechanism in Finnish into English translation.
Outcome: The character-based models outperform subword-based model in Finnish to English translation.

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