paper-with-me

홈 › Papers

Re-design of the Machine Translation Training Tool (MT3)

2020-11-01 · EAMT 2020 11 · Paula Estrella, Emiliano Cuenca, Laura Bruno, Jonathan Mutal, Sabrina Girletti, Lise Volkart, Pierrette Bouillon

We believe that machine translation (MT) must be introduced to translation students as part of their training, in preparation for their professional life. In this paper we present a new version of the tool called MT3, which builds on and extends a joint effort undertaken by the Faculty of Languages of the University of Córdoba and Faculty of Translation and Interpreting of the University of Geneva to develop an open-source web platform to teach MT to translation students. We also report on a pilot experiment with the goal of testing the viability of using MT^3 in an MT course. The pilot let us identify areas for improvement and collect students’ feedback about the tool’s usability.

📄 PDF Abstract BibTeX

Code (0)

등록된 구현이 없습니다.

Tasks

Machine TranslationTranslation

Similar Papers 제목 키워드 기반

NeoAMT: Neologism-Aware Agentic Machine Translation with Reinforcement Learning

2026-01-07 · Zhongtao Miao, Kaiyan Zhao, Masaaki Nagata, Yoshimasa Tsuruoka arxiv

Neologism-aware machine translation aims to translate source sentences containing neologisms into target languages. This field remains underexplored compared with general machine translation (MT). In this paper, we propo…

Reinforcement LearningMachine Translation

XNMT: The eXtensible Neural Machine Translation Toolkit

2018-03-01 · WS 2018 3 · Graham Neubig, Matthias Sperber, Xinyi Wang, Matthieu Felix 외

This paper describes XNMT, the eXtensible Neural Machine Translation toolkit. XNMT distin- guishes itself from other open-source NMT toolkits by its focus on modular code design, with the purpose of enabling fast iterati…

Machine TranslationNMTspeech-recognitionSpeech Recognition+1

Marian: Fast Neural Machine Translation in C++

2018-04-01 · ACL 2018 7 · Marcin Junczys-Dowmunt, Roman Grundkiewicz, Tomasz Dwojak, Hieu Hoang 외

We present Marian, an efficient and self-contained Neural Machine Translation framework with an integrated automatic differentiation engine based on dynamic computation graphs. Marian is written entirely in C++. We descr…

DecoderMachine TranslationTranslation

OpusCleaner and OpusTrainer, open source toolkits for training Machine Translation and Large language models

2023-11-24 · Nikolay Bogoychev, Jelmer Van der Linde, Graeme Nail, Barry Haddow 외

Developing high quality machine translation systems is a labour intensive, challenging and confusing process for newcomers to the field. We present a pair of tools OpusCleaner and OpusTrainer that aim to simplify the pro…

Data AugmentationMachine TranslationSchedulingTranslation

CytonMT: an Efficient Neural Machine Translation Open-source Toolkit Implemented in C++

2018-02-17 · EMNLP 2018 11 · Xiaolin Wang, Masao Utiyama, Eiichiro Sumita

This paper presents an open-source neural machine translation toolkit named CytonMT (https://github.com/arthurxlw/cytonMt). The toolkit is built from scratch only using C++ and NVIDIA's GPU-accelerated libraries. The too…

GPUMachine TranslationTranslation