Facebook NMT: Setting up a Neural Machine Translation System Training Course

Nobleprog Limited

Course

In City Of London

Price on request

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Description

  • Type

    Course

  • Location

    City of london

Facebook NMT (Fairseq) is an open-source sequence-to-sequence learning toolkit created by Facebook for use in Neural Machine Translation (NMT).
In this training participants will learn how to use Fairseq to carry out translation of sample content.
By the end of this training, participants will have the knowledge and practice needed to implement a live Fairseq based machine translation solution.
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
Note
If you wish to use specific source and target language content, please contact us to arrange.

Facilities

Location

Start date

City Of London (London)
See map
Token House, 11-12 Tokenhouse Yard, EC2R 7AS

Start date

On request

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Reviews

Subjects

  • Global
  • Translation

Course programme

Introduction

  • Why Neural Machine Translation?
  • Borrowing from image recognition techniques

Overview of the Torch and Caffe2 projects

Overview of a Convolutional Neural Machine Translation model

  • Convolutional Sequence to Sequence Learning
  • Convolutional Encoder Model for Neural Machine Translation
  • Standard LSTM-based model

Overview of training approaches

  • About GPUs and CPUs
  • Fast beam search generation

Installation and setup

Evaluating pre-trained models

Preprocessing your data

Training the model

Translating

Converting a trained model to use CPU-only operations

Joining to the community

Closing remarks

See related categories

Facebook NMT: Setting up a Neural Machine Translation System Training Course

Price on request

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