Mass adoption of neural machine translation (NMT) tools in the translation workflow has exerted a significant impact on the language services industry over the last decade. There are claims that with the advent of NMT, automated translation has reached human parity for translating news (see, e.g. Popel et al. 2020). Moreover, some machine…

Although the Japanese reflexive "zibun" can be bound both locally and across clause boundaries, the third-person pronoun "kare" cannot take a local antecedent. These are properties that children need to learn about their language, but we show that the direct evidence of the binding possibilities of "zibun" is sparse…

We examine the stylistic aspects of L2 translations using a set of quantifiable descriptors. The sample includes 40 translations of a promotional text from Czech into English and French produced by novices and professional translators. The general stylistic competence is slightly higher in the group of professionals, although the overall quality…

The article attempts to determine whether translation errors (in particular semantic and stylistic ones) in translator-training settings are predominantly the result of translation directionality, i.e. of the fact that the student translators are translating into their L2 and that their language competence in L2 is not as strong as in their L1, or…

This paper explores whether language typology plays any role in lexical availability and spelling accuracy in L2 English. Two groups of adult speakers were compared: a group of native speakers of a language typologically distant from English with a logographic writing system (Chinese; n = 13) vs. a group of native speakers of a language…

This paper is another installment in the ongoing project on early language learning in a Japanese FLES program, conducted by ELLRT (Early Language Learning Research Team): Richard Donato and G. Richard Tucker with graduate students from Carnegie Mellon University and the University of Pittsburgh. The Japanese instructor in this FLES program, Yoko…