OpenNMT: Setting up a Neural Machine Translation System

Course Code

opennmt

Duration

7 hours (usually 1 day including breaks)

Requirements

  • Some programming experience is helpful
  • Experience using the command line
  • Basic understanding of machine translation concepts

Overview

OpenNMT is a full-featured, open-source (MIT) neural machine translation system that utilizes the Torch mathematical toolkit.

In this training participants will learn how to set up and use OpenNMT to carry out translation of various sample data sets. The course starts with an overview of neural networks as they apply to machine translation. Participants will carry out live exercises throughout the course to demonstrate their understanding of the concepts learned and get feedback from the instructor.

By the end of this training, participants will have the knowledge and practice needed to implement a live OpenNMT solution.

Source and target language samples will be pre-arranged per the audience's requirements.

Audience

  • Localization specialists with a technical background
  • Global content managers
  • Localization engineers
  • Software developers in charge of implementing global content solutions

Format of the course

  • Part lecture, part discussion, heavy hands-on practice

Course Outline

Introduction

  • Why Neural Machine Translation?

Overview of the Torch project

Installation and setup

Preprocessing your data

Training the model

Translating

Using pre-trained models

Working with Lua scripts

Using extensions

Troubleshooting

Joining the community

Closing remarks

Bookings, Prices and Enquiries

Guaranteed to run even with a single delegate!

Private Classroom

From £1250

Private Remote

From £1100 (99)

Public Classroom

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