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Heavyweight Statistical Alignment to Guide Neural Translation
Transformer neural models with multihead attentions outperform all existing translation models. Nevertheless, some features of traditional statistical models, such as prior alignment between source and target words, prove useful in training the state-of-the-art Transformer models. It has been report...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Hindawi
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9187440/ https://www.ncbi.nlm.nih.gov/pubmed/35694597 http://dx.doi.org/10.1155/2022/6856567 |