Machine translation models released by the Gourmet project

Overview

Gourmet Models

Overview

The Gourmet project has released several machine translation models to translate low-resource languages. This repository contains information about the models, as well as sample code showing how the models can be used. The models themselves are available as dockers, and can be downloaded from a separate site (see below).

Some of the models are described in our public deliverables. See the integration report for details of model training, and the evaluation report for details of evaluation.

Using the Models

The model download links are here. Once downloaded, the model can be deployed using:

docker load < 
   

   

to launch the translation server, use:

docker run -p 4000:4000 -i --rm 
   

   

This exposes the model on port 4000. Change the second number above if you want to use a different port.

To test the model, use the sample client like this:

$ ./gourmet-client.py 
2021-11-15 14:54:10 DEBUG: __main__:  Connecting to translation server at localhost4000
2021-11-15 14:54:10 DEBUG: urllib3.connectionpool:  Starting new HTTP connection (1): localhost:4000
2021-11-15 14:54:14 DEBUG: urllib3.connectionpool:  http://localhost:4000 "POST /translation HTTP/1.1" 200 88
Translation: An gudanar da taron sauyin yanayi a Glasgow
Time: 2242
Error: None

This is using the English to Hausa model. You can use the -n and -p arguments to change the host and port. The source text is hard-coded but easily changed.

Some of the models support additional arguments which can be passed to the docker at launch time, using the -e argument to docker (for environemnent) variables. See the models page for more details.

Computational Requirements

All models are configured to use the CPU for translation. A GPU is not required, and the models will not use it.

Licence

CC-BY

Acknowledgements

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 825299.

Owner
Edinburgh NLP
The Natural Language Processing Group at the University of Edinburgh
Edinburgh NLP
Spacy-ginza-ner-webapi - Named Entity Recognition API with spaCy and GiNZA

Named Entity Recognition API with spaCy and GiNZA I wrote a blog post about this

Yuki Okuda 3 Feb 27, 2022
This is a GUI program that will generate a word search puzzle image

Word Search Puzzle Generator Table of Contents About The Project Built With Getting Started Prerequisites Installation Usage Roadmap Contributing Cont

11 Feb 22, 2022
Utility for Google Text-To-Speech batch audio files generator. Ideal for prompt files creation with Google voices for application in offline IVRs

Google Text-To-Speech Batch Prompt File Maker Are you in the need of IVR prompts, but you have no voice actors? Let Google talk your prompts like a pr

Ponchotitlán 1 Aug 19, 2021
A Chinese to English Neural Model Translation Project

ZH-EN NMT Chinese to English Neural Machine Translation This project is inspired by Stanford's CS224N NMT Project Dataset used in this project: News C

Zhenbang Feng 29 Nov 26, 2022
Model parallel transformers in JAX and Haiku

Table of contents Mesh Transformer JAX Updates Pretrained Models GPT-J-6B Links Acknowledgments License Model Details Zero-Shot Evaluations Architectu

Ben Wang 4.9k Jan 04, 2023
A Practitioner's Guide to Natural Language Processing

Learn how to process, classify, cluster, summarize, understand syntax, semantics and sentiment of text data with the power of Python! This repository contains code and datasets used in my book, Text

Dipanjan (DJ) Sarkar 1.5k Jan 03, 2023
Study German declensions (dER nettE Mann, ein nettER Mann, mit dEM nettEN Mann, ohne dEN nettEN Mann ...) Generate as many exercises as you want using the incredible power of SPACY!

Study German declensions (dER nettE Mann, ein nettER Mann, mit dEM nettEN Mann, ohne dEN nettEN Mann ...) Generate as many exercises as you want using the incredible power of SPACY!

Hans Alemão 4 Jul 20, 2022
Question answering app is used to answer for a user given question from user given text.

Question answering app is used to answer for a user given question from user given text.It is created using HuggingFace's transformer pipeline and streamlit python packages.

Siva Prakash 3 Apr 05, 2022
pkuseg多领域中文分词工具; The pkuseg toolkit for multi-domain Chinese word segmentation

pkuseg:一个多领域中文分词工具包 (English Version) pkuseg 是基于论文[Luo et. al, 2019]的工具包。其简单易用,支持细分领域分词,有效提升了分词准确度。 目录 主要亮点 编译和安装 各类分词工具包的性能对比 使用方式 论文引用 作者 常见问题及解答 主要

LancoPKU 6k Dec 29, 2022
Sentence Embeddings with BERT & XLNet

Sentence Transformers: Multilingual Sentence Embeddings using BERT / RoBERTa / XLM-RoBERTa & Co. with PyTorch This framework provides an easy method t

Ubiquitous Knowledge Processing Lab 9.1k Jan 02, 2023
Exploring dimension-reduced embeddings

sleepwalk Exploring dimension-reduced embeddings This is the code repository. See here for the Sleepwalk web page. License and disclaimer This program

S. Anders's research group at ZMBH 91 Nov 29, 2022
A toolkit for document-level event extraction, containing some SOTA model implementations

Document-level Event Extraction via Heterogeneous Graph-based Interaction Model with a Tracker Source code for ACL-IJCNLP 2021 Long paper: Document-le

84 Dec 15, 2022
PyTorch implementation of the paper: Text is no more Enough! A Benchmark for Profile-based Spoken Language Understanding

Text is no more Enough! A Benchmark for Profile-based Spoken Language Understanding This repository contains the official PyTorch implementation of th

Xiao Xu 26 Dec 14, 2022
This is the 25 + 1 year anniversary version of the 1995 Rachford-Rice contest

Rachford-Rice Contest This is the 25 + 1 year anniversary version of the 1995 Rachford-Rice contest. Can you solve the Rachford-Rice problem for all t

13 Sep 20, 2022
Türkçe küfürlü içerikleri bulan bir yapay zeka kütüphanesi / An ML library for profanity detection in Turkish sentences

"Kötü söz sahibine aittir." -Anonim Nedir? sinkaf uygunsuz yorumların bulunmasını sağlayan bir python kütüphanesidir. Farkı nedir? Diğer algoritmalard

KaraGoz 4 Feb 18, 2022
A PyTorch Implementation of End-to-End Models for Speech-to-Text

speech Speech is an open-source package to build end-to-end models for automatic speech recognition. Sequence-to-sequence models with attention, Conne

Awni Hannun 647 Dec 25, 2022
A desktop GUI providing an audio interface for GPT3.

Jabberwocky neil_degrasse_tyson_with_audio.mp4 Project Description This GUI provides an audio interface to GPT-3. My main goal was to provide a conven

16 Nov 27, 2022
QVHighlights: Detecting Moments and Highlights in Videos via Natural Language Queries

Moment-DETR QVHighlights: Detecting Moments and Highlights in Videos via Natural Language Queries Jie Lei, Tamara L. Berg, Mohit Bansal For dataset de

Jie Lei 雷杰 133 Dec 22, 2022
Longformer: The Long-Document Transformer

Longformer Longformer and LongformerEncoderDecoder (LED) are pretrained transformer models for long documents. ***** New December 1st, 2020: Longforme

AI2 1.6k Dec 29, 2022