In recent years, the push towards automation and translation productivity led to great efforts
dedicated to the development of machine translation (MT) systems. Neural machine …

Machine translation systems for low resource languages face challenges in terms of quality
and understanding. Our work focus on the translations for English to Khasi using two …

Cognate prediction is the task of generating, in a given language, the likely cognates of
words in a related language, where cognates are words in related languages that have …

This paper presents a high-quality multilingual dataset for the documentation domain to
advance research on localization of structured text. Unlike widely-used datasets for …

In historical linguistics, cognates are words that descend in direct line from a common
ancestor, called their proto-form, and therefore are representative of their respective …

This study examines how morphological complexity affects cognitive effort in neural machine
translation (NMT) post-editing across six languages. Analysis of the DivEMT dataset shows …

The ever-increasing quality and adoption of neural machine translation (NMT) has spiked
the need for and interest in post-editing–the act of correcting machine translation output by a …

In this paper, we present our work on integrating neural machine translation systems in the
document translation workflow of the cloud-based machine translation platform Tilde MT. We …

Not long ago, the field of Machine Translation experienced a conceptual turn from Rule-
based to Statistical. At this moment, we are undergoing a technological turn with Neural …

An anagram is a sentence or a phrase that is made by permutating the characters of an input
sentence or a phrase. For example,“Trims cash” is an anagram of “Christmas”. Existing …