Machine Translation Training Tool (MTTT) -- Gtk-based version

Machine translation made easy for human translators!

MTTT is an under development post-editing suite which aims to improve the translators experience with machine translation tools such as moses. It provides the user with a graphical user interface to:

• Work with the moses machine translation pipeline.
• Apply evaluation metrics such as BLEU.
• Post-edit the obtained machine translation.

Features

• Portable (Windows / Linux)
• Friendly Graphical User Interface (GUI) for MOSES.
• Use machine translation tool MOSES, post-edit the output and run evaluation metrics.

Corpus preparation tab

Training tab

Dependencies

Source code

About Linux

• You should link /bin/sh to /bin/bash and not to bin dash. To do that:
  • Check the link:

   ls -l /bin/sh
  

  • If /bin/sh is a link to /bin/dash, change it to /bin/bash.

   sudo mv /bin/sh /bin/sh.orig
   sudo ln -s /bin/bash /bin/sh
  

This is necessary to use the redirection commands used by MOSES commands.

On Ubuntu

• MOSES (Install with "--with-mm" and "--install-scripts" flags)

• To install its dependencies run

   python ubuntu_install.py
  

On Windows using Cygwin

• MOSES (Install with "--with-mm" and "--install-scripts" flags)

• To install Cygwin and its dependencies run

   python cygwin_install.py
  

On Windows

• MOSES (Install with "--with-mm" and "--install-scripts" flags)

• the following installer is recommended: https://sourceforge.net/projects/pygobjectwin32/files/pygi-aio-3.18.2_rev10-setup_84c21bc2679ff32e73de38cbaa6ef6d30c628ae5.exe/download

  • visual installation guide:

  

  

Binaries (portable)

More details on this soon!

Status

• Under development. Currently everything is working but we need a better GUI design and add robustness (strict error handling).

How to use

Source code

On Linux

Simply install all dependencies and run:

python main.py

On Windows

Run LXDE or any other X window environment from CygWin. From inside LXDE or your favorite one run:

python main.py

Binaries (portable)

More details on this soon!

Contributors

• Paula Estrella
• Roxana Lafuente <roxana.lafuente at gmail dot com>
• Miguel Lemos

We welcome new contributions! If you would like to be part of the team, create a new pull request and contact Paula or Roxana to let us know. If it is merged into the project you will be added as a contributor.

Please, check out our other contributions:

• MTTT PyQt-based version: https://github.com/PaulaEstrella/TTT_PyQT
• MTTT Web-based version POC: https://github.com/miguelemosreverte/TTT_web