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05/28/2023
Parallel Data Helps Neural Entity Coreference Resolution
Coreference resolution is the task of finding expressions that refer to ...
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07/26/2021
Revisiting Negation in Neural Machine Translation
In this paper, we evaluate the translation of negation both automaticall...
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11/06/2020
Understanding Pure Character-Based Neural Machine Translation: The Case of Translating Finnish into English
Recent work has shown that deeper character-based neural machine transla...
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08/30/2019
Encoders Help You Disambiguate Word Senses in Neural Machine Translation
Neural machine translation (NMT) has achieved new state-of-the-art perfo...
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07/18/2019
Understanding Neural Machine Translation by Simplification: The Case of Encoder-free Models
In this paper, we try to understand neural machine translation (NMT) via...
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10/17/2018
An Analysis of Attention Mechanisms: The Case of Word Sense Disambiguation in Neural Machine Translation
Recent work has shown that the encoder-decoder attention mechanisms in n...
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08/27/2018
Why Self-Attention? A Targeted Evaluation of Neural Machine Translation Architectures
Recently, non-recurrent architectures (convolutional, self-attentional) ...
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06/13/2018
An Evaluation of Neural Machine Translation Models on Historical Spelling Normalization
In this paper, we apply different NMT models to the problem of historica...
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08/20/2017
