Issue #51 – Takeaways from the 2019 Machine Translation Summit
12 Sep19
Issue #51 – Takeaways from the 2019 Machine Translation Summit
Author: Dr. Rohit Gupta, Sr. Machine Translation Scientist @ Iconic
As you will have probably seen across our website and channels, the Machine Translation Summit took place a few weeks ago on our doorstep in Dublin, Ireland. In addition to sponsoring, hosting the MT social, and presenting our own paper, we also attended many talks, had a lot of great conversations, and since the conference, we have spent some time reading up on some of the work we didn’t get to catch. As expected, we came across many interesting pieces of research . In this post, we summarise three papers that we found particularly interesting!
Controlling the Reading Level of Machine Translation Output (Marchisio et. al. (2019) )
Depending on the target audience, we may want to change the complexity of the resulting translation output. Marchisio et. al. (2019) in their work make a successful attempt to incorporate the same.
In the first approach, they change the training data. They add a text token at the end of each source sentence depending on the level of complexity required. They used only two levels of
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