| CARVIEW |
Select Language
HTTP/2 200
server: GitHub.com
content-type: text/html; charset=utf-8
last-modified: Tue, 10 Jan 2023 09:22:17 GMT
access-control-allow-origin: *
etag: W/"63bd2e49-2151"
expires: Mon, 29 Dec 2025 06:55:10 GMT
cache-control: max-age=600
content-encoding: gzip
x-proxy-cache: MISS
x-github-request-id: 1FAD:2680BD:8608BA:96AE41:69522375
accept-ranges: bytes
age: 0
date: Mon, 29 Dec 2025 06:45:10 GMT
via: 1.1 varnish
x-served-by: cache-bom-vanm7210032-BOM
x-cache: MISS
x-cache-hits: 0
x-timer: S1766990711.712583,VS0,VE207
vary: Accept-Encoding
x-fastly-request-id: 59b9d9272ed4adc927638c388225880f6115bc99
content-length: 2588
OpenNMT - Open-Source Neural Machine Translation
OpenNMT
OpenNMT is an open source ecosystem for neural machine translation and neural sequence learning.
Started in December 2016 by the Harvard NLP group and SYSTRAN, the project has since been used in several research and industry applications. It is currently maintained by SYSTRAN and Ubiqus.
OpenNMT provides implementations in 2 popular deep learning frameworks:
Each implementation has its own set of unique features but shares similar goals:
- Highly configurable model architectures and training procedures
- Efficient model serving capabilities for use in real world applications
- Extensions to allow other tasks such as text generation, tagging, summarization, image to text, and speech to text
The OpenNMT ecosystem also includes projects to cover the full NMT workflow: