Despite the increased quality of Machine Translation output, human interaction will remain a crucial activity to guarantee the quality of the final translation products. Human-computer interaction in translation will likely be the more successful the more we understand the properties and complementarities of both partners. This paper traces cognitive approaches in machine translation back to th...

This paper presents a technology and a representation for gathering and analysing User Activity Data (UAD) from human translation sessions. We discuss recent advances in the field of translation process research and investigate how insights from this branch of research could be instrumentalised for the design translation tools. New technologies and novel ways of using existing technology could ...

This paper proposes an example-based machine translation system which handles structural translation examples. The structural translation examples have the potential advantage of high-usability. However, technologies which build such translation examples are still being developed. In such a situation, the comparison of the proposed system and the other approach systems is meaningful. This paper...

The MEMPHIS project integrates a large set of NLP technologies. An overview of components, their underlying technologies and resources will be presented: language identification, document classification, linguistic analysis, summarization, information extraction, machine translation, knowledge management and crosslingual retrieval.

This paper introduces ATR’s project named Corpus-Centered Computation (C3), which aims at developing a translation technology suitable for spoken language translation. C3 places corpora at the center of its technology. Translation knowledge is extracted from corpora, translation quality is gauged by referring to corpora, the best translation among multiple-engine outputs is selected based on co...

With the increasing demand for fast and accurate audiovisual translation, subtitlers are starting to consider the use of translation technologies to support their work. An important issue that arises from the use of such technologies is measuring how much effort needs to be put in by the subtitler in post-editing (semi-)automatic translations. In this paper we present an objective way of measur...

Machine Translation technologies are becoming increasingly important in aglobalized world. PRHLT group has successfully applied pattern recognitiontechniques in several projects involving both text and speech translation.A new and very promising approach is to use a computer to assist a humantranslator, thereby joining the power of computers with human expertise. Inthis rega...