Online Versus Offline NMT Quality: An In-depth Analysis on English-German and German-English
Abstrak
We conduct in this work an evaluation study comparing offline and online neural machine translation architectures. Two sequence-to-sequence models: convolutional Pervasive Attention (Elbayad et al. 2018) and attention-based Transformer (Vaswani et al. 2017) are considered. We investigate, for both architectures, the impact of online decoding constraints on the translation quality through a carefully designed human evaluation on English-German and German-English language pairs, the latter being particularly sensitive to latency constraints. The evaluation results allow us to identify the strengths and shortcomings of each model when we shift to the online setup.
Topik & Kata Kunci
Penulis (6)
Maha Elbayad
Michael Ustaszewski
Emmanuelle Esperança-Rodier
Francis Brunet Manquat
Jakob Verbeek
Laurent Besacier
Akses Cepat
- Tahun Terbit
- 2020
- Bahasa
- en
- Sumber Database
- arXiv
- Akses
- Open Access ✓