E uroparl Datasets with Demographic Speaker Information (2018)

Abstract: Research on speaker-adapted neural machine translation (NMT) is scarce. One of the main challenges for more personalized MT systems is finding large enough annotated parallel datasets with speaker information. Rabinovich et al. (2017) published an annotated parallel dataset for EN–FR and EN–DE, however, for many other language pairs no sufficiently large annotated datasets are available.

## analysis additionally, we analyzed the en-fr dataset with respect to the percentage of male versus female speakers in various age groups (see figure 1 ).