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An error analysis for image-based multi-modal neural machine translation
In this article, we conduct an extensive quantitative error analysis of different multi-modal neural machine translation (MNMT) models which integrate visual features into different parts of both the encoder and the decoder. We investigate the scenario where models are trained on an in-domain traini...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer Netherlands
2019
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6579783/ https://www.ncbi.nlm.nih.gov/pubmed/31281206 http://dx.doi.org/10.1007/s10590-019-09226-9 |