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Bridging between Cognitive Processing Signals and Linguistic Features via a Unified Attentional Network ...
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RiSAWOZ: A Large-Scale Multi-Domain Wizard-of-Oz Dataset with Rich Semantic Annotations for Task-Oriented Dialogue Modeling ...
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Probing Word Translations in the Transformer and Trading Decoder for Encoder Layers ...
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Modeling Homophone Noise for Robust Neural Machine Translation ...
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Abstract:
In this paper, we propose a robust neural machine translation (NMT) framework. The framework consists of a homophone noise detector and a syllable-aware NMT model to homophone errors. The detector identifies potential homophone errors in a textual sentence and converts them into syllables to form a mixed sequence that is then fed into the syllable-aware NMT. Extensive experiments on Chinese->English translation demonstrate that our proposed method not only significantly outperforms baselines on noisy test sets with homophone noise, but also achieves a substantial improvement on clean text. ...
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Keyword:
Computation and Language cs.CL; FOS Computer and information sciences
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URL: https://arxiv.org/abs/2012.08396 https://dx.doi.org/10.48550/arxiv.2012.08396
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Merging External Bilingual Pairs into Neural Machine Translation ...
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BiPaR: A Bilingual Parallel Dataset for Multilingual and Cross-lingual Reading Comprehension on Novels ...
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Fusing Recency into Neural Machine Translation with an Inter-Sentence Gate Model ...
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BattRAE: Bidimensional Attention-Based Recursive Autoencoders for Learning Bilingual Phrase Embeddings ...
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