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AbstractFor a professional user of MT, quality, performance and cost efficiency are critical. It is therefore surprising that only little attention – both in theory and in practice - has …...

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- …...

This paper describes a project currently under way at SAP dealing with the task of post-editing MT output. As a concrete re- sult of the project, a standard post-editing guide …...

We propose to use a statistical phrase- based machine translation system in a post-editing task: the system takes as in- put raw machine translation output (from a commercial rule-based MT …...

. This paper focuses on domain specific use of MT with a special focus on SMT in the workflow of a Language Service Provider (LSP). We report on the feedback …...

This paper is a case study of the deployment of new MT technology aiming at improving the overall Post-Editing (PE) experience. One of the main challenges in having MT output …...

Post-editing (PE) is still a new activity for many translators. The lack of training, clear and consistent guidelines and inter- national standards may cause difficulties in the transition from translation …...

With the increasing demand for fast and accurate audiovisual translation, subtitlers are starting to consider the use of trans- lation technologies to support their work. An important issue that arises …...

We propose a technique for improving the quality of phrase-based translation systems by creating synthetic translation options—phrasal translations that are gen- erated by auxiliary translation and post- editing processes—to augment …...

Text-level discourse parsing remains a challenge. The current state-of-the-art overall accuracy in relation assignment is 55.73%, achieved by Joty et al. (2013). However, their model has a high order of …...

The exchange between Translation Studies (TS) and Machine Translation (MT) has been relatively rare. However, given recent developments in both fields like increased importance of post-editing and reintegra- tion of …...

It is often assumed that raw MT output requires post-editing if it is to be used for more than gisting purposes. However, we know little about how end users engage …...

AbstractIn order to improve the symbiosis between machine translation (MT) system and post-editor, it is not enough to know that the output of one system is better than the output …...

Despite the growing interest in and use of machine translation post-edited out- puts, there is little research work explor- ing different types of post-editing opera- tions, i.e. types of translation …...

AbstractHuman translators are the key to evaluating machine translation (MT) quality and also to addressing the so far unanswered question when and how to use MT in professional translation workflows. …...

Phrase-based machine translation can be configured to produce alignment data that indicates which machine translated target language words correspond to which original source language words. In most prior work that …...

AbstractThe goal of the cognitive machine translation (MT) evaluation approach is to build classifiers which assign post-editing effort scores to new texts. The approach helps estimate fair compensation for post-editors …...

AbstractComputer-assisted transcription promises high-quality speech transcription at reduced costs. This is achieved by limiting human effort to transcribing parts for which automatic transcription quality is insufficient. Our goal is to …...

AbstractWe present a freely available corpus containing source language texts from different domains along with their automatically generated translations into several distinct morphologically rich languages, their post-edited versions, and error …...

This paper describes our IR (Information Re- trieval) based method for SemEval 2016 task 1, Semantic Textual Similarity (STS). The main feature of our approach is to extend a conventional …...

This study investigates the coordination of reading (input) and writing (output) activities in from-scratch translation and post-editing. We segment logged eye movements and keylogging data into minimal units of reading …...

We participated in the WMT 2016 shared news translation task on English ↔ Chi- nese language pair. Our systems are based on the encoder-decoder neural machine translation model with the …...

This paper introduces EFLLex, an innovative lexical resource that describes the use of 15,280 English words in pedagogical materials across the proficiency levels of the European Framework of Reference for …...

AbstractWhile Neural Machine Translation (NMT) technology has been around for a few years now in research and development, it is still in its infancy when it comes to customization readiness …...

AbstractIn this paper we present an analysis of the two most prominent methodologies used for the human evaluation of MT quality, namely evaluation based on Post-Editing (PE) and evaluation based …...

AbstractThe objective of this paper is to analyse some aspects related to the practice of post-editing services in the current translation market in Spain. To this aim, some quantitative data …...

AbstractGiven (i) the rise of a new paradigm to machine translation based on neural networks that results in more fluent and less literal output than previous models and (ii) the …...

AbstractIn this work, we customized a neural machine translation system for translation of subtitles in the domain of entertainment. The neural translation model was adapted to the subtitling content and …...

Post-editing (PE) machine translation (MT) is widely used for dissemination because it leads to higher productivity than human translation from scratch (HT). In addition, PE translations are found to be …...

Neural machine translation (NMT) has set new quality standards in automatic transla- tion, yet its effect on post-editing produc- tivity is still pending thorough investiga- tion. We empirically test how …...

The combination of machines and humans for translation is effective, with many stud- ies showing productivity gains when hu- mans post-edit machine-translated output instead of translating from scratch. To take …...

AbstractWe introduce a machine translation dataset for three pairs of languages in the legal domain with post-edited high-quality neural machine translation and independent human references. The data was collected as …...

AbstractWe conducted a survey to understand the impact of machine translation and post-editing awareness on comprehension of and trust in messages disseminated to prepare the public for a weather-related crisis, …...

AbstractCurrent advances in machine translation (MT) increase the need for translators to switch from traditional translation to post-editing (PE) of machine-translated text, a process that saves time and reduces errors. …...

AbstractThis paper presents a user evaluation of machine translation and post-editing for TV subtitles. Based on a process study where 12 professional subtitlers translated and post-edited subtitles, we compare effort …...

AbstractExisting approaches for machine translation (MT) mostly translate given text in the source language into the target language and without explicitly referring to information indispensable for producing proper translation. This …...

AbstractThis paper describes DUT-NLP Lab’s submission to the WMT-21 triangular machine translation shared task. The participants are not allowed to use other data and the translation direction of this task …...

AbstractCompared to fully manual translation, post-editing (PE) machine translation (MT) output can save time and reduce errors. Automatic word-level quality estimation (QE) aims to predict the correctness of words in …...

AbstractTo translate large volumes of text in a globally connected world, more and more translators are integrating machine translation (MT) and post-editing (PE) into their translation workflows to generate publishable …...

AbstractAutomatic summarization methods are efficient but can suffer from low quality. In comparison, manual summarization is expensive but produces higher quality. Can humans and AI collaborate to improve summarization performance? …...

AbstractWe present here the EU-funded project CREAMT that seeks to understand what is meant by creativity in different translation modalities, e.g. machine translation, post-editing or professional translation. Focusing on the …...

AbstractState-of-the-art summarization models still struggle to be factually consistent with the input text. A model-agnostic way to address this problem is post-editing the generated summaries. However, existing approaches typically fail …...

AbstractThis paper reports on the implementation and deployment of an MT system in the Polish branch of EY Global Limited. The system supports standard CAT and MT functionalities such as …...

AbstractRecent developments in machine translation and speech translation are opening up opportunities for computer-assisted translation tools with extended automation functions. Subtitling tools are recently being adapted for post-editing by providing …...

AbstractThe past few years have seen the multiplication of studies on post-editese, following the massive adoption of post-editing in professional translation workflows. These studies mainly rely on the comparison of …...

AbstractThe GAMETRAPP project, funded by Spanish Ministry for Science and Inno-vation, aims to facilitate industry profes-sionals training on full post-editing of neural machine translation by means of a gamified environment....

AbstractIn this paper, we introduce a workflow that utilizes human-in-the-loop for post-editing anonymized texts, with the aim of reconciling the competing needs of data privacy and data quality. By combining …...

AbstractNeural machine translation (NMT) has shown overwhelmingly good results in recent times. This improvement in quality has boosted the presence of NMT in nearly all fields of translation. Most current …...

AbstractAs technical fields become ever more specialized, and with continuous emergence of novel technical terms, it may not be always possible to avail of bilingual experts in the field to …...

AbstractIn this paper, we present the Post-Edit Me! project, which aims to support machine translation post-editing training and learning in translator education, with particular emphasis on quality evaluation of students’ …...