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January 31, 2020, 01:00 PM
Parker Riley: Translationese as a Language in "Multilingual" NMT

[Friday, January 31, 2020 at 1:00 PM in Wegmans 2506] Parker Riley, Isaac Caswell, Markus Freitag, David Grangier Machine translation has an undesirable propensity to produce "translationese" artifacts, which can lead to higher BLEU scores while being liked less by human raters. Motivated by this, we model translationese and original (i.e. natural) text as separate languages in a multilingual model, and pose the question: can we perform zero-shot translation between original source text and original target text? There is no data with original source and original target, so we train a sentence-level classifier to distinguish translationese from original target text, and use this classifier to tag the training data for an NMT model. Using this technique we bias the model to produce more natural outputs at test time, yielding gains in human evaluation scores on both accuracy and fluency. Additionally, we demonstrate that it is possible to bias the model to produce translationese and game the BLEU score, increasing it while decreasing human-rated quality.

February 7, 2020, 01:00 PM
Nabil Hossain: TBD

[Friday, February 07, 2020 at 1:00 PM in Wegmans 2506] TBD

February 21, 2020, 01:00 PM
Rupam Acharyya: TBD

[Friday, February 21, 2020 at 1:00 PM in Wegmans 2506] TBD