Neural machine translation is increasingly being promoted and introduced in the field of
translation, but research into its applicability for post-editing by human translators and its …

We present online learning techniques for statistical machine translation (SMT). The
availability of large training data sets that grow constantly over time is becoming more and …

Globalization has dramatically increased the need of translating information from one
language to another. Frequently, such translation needs should be satisfied under very tight …

The paper aimed at exploring the current phenomenon regarding human translation with
machine translation. Human translation (HT), by definition, is when a human translator …

This chapter describes a pilot study aiming at testing the integration of online and active
learning features into the computer-assisted translation workbench developed within the …

Recent language technology developments have disrupted the translation and interpreting
professions. However, the focus has been on using more computational power and training …

This work is focused on enhancing highly interactive text-editing applications with gestures.
Concretely, we study Computer Assisted Transcription of Text Images (CATTI), a handwriting …

Machine Learning in Translation introduces machine learning (ML) theories and
technologies that are most relevant to translation processes, approaching the topic from a …

We introduce a method for learning to predict text and grammatical construction in a
computer-assisted translation and writing framework. In our approach, predictions are …

The objective of interactive translation prediction (ITP) is to assist human translators in the
translation of texts by making context-based computer-generated suggestions as they type …