Issue #114 – Tagged Back-translation Revisited

21 Jan21 Issue #114 – Tagged Back-translation Revisited Author: Dr. Karin Sim, Machine Translation Scientist @ Iconic Introduction In a previous post in our series, we examined tagged back-translation for Neural Machine Translation (NMT), whereby the back-translated data that is used to supplement parallel data is tagged before training. This led to improvements in the output over untagged data. Today’s blog post extends the work of Caswell et al. (2019), by taking a closer look at why and how adding […]

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Issue #44 – Tagged Back-Translation for Neural Machine Translation

04 Jul19 Issue #44 – Tagged Back-Translation for Neural Machine Translation Author: Dr. Patrik Lambert, Machine Translation Scientist @ Iconic Note from the editor: You may have noticed that our posts have been a little more technical in nature over the last few weeks. This is reflective of a broader trend in R&D whereby higher level topics and “breakthroughs” have been covered, and scientists are now drilling down to optimise existing approaches. This can be seen again in today’s on […]

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