This work extends and evaluates a two-dimensional automatic evaluation metric for machine
translation, which is designed to operate at the sentence level. The metric is based on the …

We survey the relevant literature on translation difficulty and automatic evaluation of
machine translation (MT) quality and investigate whether source text's translation difficulty …

This dissertation investigates cross-generational linguistic differences in the Canberra
Vietnamese bilingual community, with a particular focus on Vietnamese as the heritage …

Abstract Machine translation (MT) is directly linked to its evaluation in order to both compare
different MT system outputs and analyse system errors so that they can be addressed and …

We introduce XMEANT—a new cross-lingual version of the semantic frame based MT
evaluation metric MEANT—which can correlate even more closely with human adequacy …

Most of the widely-used automatic evaluation metrics consider only the local fragments of
the references and translations, and they ignore the evaluation on the syntax level. Current …

Although neural machine translation (NMT) yields promising translation performance, it
unfortunately suffers from over-and under-translation issues [31], of which studies have …

This paper introduces the Canberra Vietnamese-English Code-switching corpus (CanVEC),
an original corpus of natural mixed speech that we semi-automatically annotated with …

We present the first ever results showing that Chinese MT output is significantly improved by
tuning a MT system against a semantic frame based objective function, MEANT, rather than …

Most of the syntax-based metrics obtain the similarity by comparing the sub-structures
extracted from the trees of hypothesis and reference. These sub-structures cannot represent …