A4: Nico Herbig et al. show that a multi-modal measurement approach, that includes eye-, skin-, and heart-based indicators, outperforms all baseline measures in predicting the perceived level of cognitive load of PE MT. Check it out here: https://t.co/vHdC
RT @Jossmo: The 3rd article from our co-edited Machine Translation SI on Human Factors in NMT is online: Multi-modal indicators for estimat…
RT @Jossmo: The 3rd article from our co-edited Machine Translation SI on Human Factors in NMT is online: Multi-modal indicators for estimat…
RT @Jossmo: The 3rd article from our co-edited Machine Translation SI on Human Factors in NMT is online: Multi-modal indicators for estimat…
RT @Jossmo: The 3rd article from our co-edited Machine Translation SI on Human Factors in NMT is online: Multi-modal indicators for estimat…
RT @Jossmo: The 3rd article from our co-edited Machine Translation SI on Human Factors in NMT is online: Multi-modal indicators for estimat…
RT @Jossmo: The 3rd article from our co-edited Machine Translation SI on Human Factors in NMT is online: Multi-modal indicators for estimat…
RT @Jossmo: The 3rd article from our co-edited Machine Translation SI on Human Factors in NMT is online: Multi-modal indicators for estimat…
RT @Jossmo: The 3rd article from our co-edited Machine Translation SI on Human Factors in NMT is online: Multi-modal indicators for estimat…
RT @Jossmo: The 3rd article from our co-edited Machine Translation SI on Human Factors in NMT is online: Multi-modal indicators for estimat…
The 3rd article from our co-edited Machine Translation SI on Human Factors in NMT is online: Multi-modal indicators for estimating perceived cognitive load in post-editing of machine #translation by Herbig, Pal, Vela, Krüger & van Genabith https://t.co