Interactive Machine Translation

We argue that the conventional approach to Interactive Machine ~Ih-anslation is not the best way to provide assistance to skilled translators, and propose an alter- native whose central feature is …...

This paper presents a practical foreign language writing support tool which makes it much easier to utilize dictionary and example sentence resources. Like a Kana-Kanji conversion front-end processor used to …...

The goal of interactive machine transla- tion is to improve the productivity of hu- man translators. An interactive machine translation system operates as follows: the automatic system proposes a transla- …...

State-of-the-art Machine Translation (MT) sys- tems are still far from being perfect. An alterna- tive is the so-called Interactive Machine Transla- tion (IMT) framework. In this framework, the knowledge of …...

State-of-the-art Machine Translation (MT) systems are still far from being perfect. An al- ternative is the so-called Interactive Machine Translation (IMT) framework. In this frame- work, the knowledge of a …...

Translation needs have greatly increased during the last years. In many situa- tions, text to be translated constitutes an unbounded stream of data that grows con- tinually with time. An …...

AbstractWhenever the quality provided by a machine translation system is not enough, a human expert is required to correct the sentences provided by the machine translation system. In such a …...

Current automatic machine translation systems require heavy human proof- reading to produce high-quality transla- tions. We present a new interactive ma- chine translation approach aimed at pro- viding a natural …...

We apply phrase-based and neural models to a core task in interactive machine trans- lation: suggesting how to complete a par- tial translation. For the phrase-based sys- tem, we demonstrate …...

Interactive machine translation research has focused primarily on predictive typing, which re- quires a human to type parts of the translation. This paper explores an interactive setting in which humans …...

AbstractIncremental domain adaptation, in which a system learns from the correct output for each input immediately after making its prediction for that input, can dramatically improve system performance for interactive …...

AbstractIn interactive machine translation (MT), human translators correct errors in automatic translations in collaboration with the MT systems, which is seen as an effective way to improve the productivity gain …...