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Machine translation
来自开放百科 - 灰狐
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*[http://docs.huihoo.com/deep-learning/deeplearningsummerschool/2015/From-Language-Modelling-to-Machine-Translation.pdf From Language Modelling to Machine Translation] | *[http://docs.huihoo.com/deep-learning/deeplearningsummerschool/2015/From-Language-Modelling-to-Machine-Translation.pdf From Language Modelling to Machine Translation] | ||
*[https://people.csail.mit.edu/koehn/publications/tutorial2003.pdf What’s New in Statistical Machine Translation (2003)] | *[https://people.csail.mit.edu/koehn/publications/tutorial2003.pdf What’s New in Statistical Machine Translation (2003)] | ||
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| + | *[http://mt-class.org/ Machine Translation] | ||
==公司== | ==公司== | ||
2022年11月16日 (三) 03:52的版本
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您可以在Wikipedia上了解到此条目的英文信息 Machine translation Thanks, Wikipedia. |
Machine translation 机器翻译
目录 |
简介
AI同传：人工智能的圣杯。长期以来，机器翻译都是语言理解的圣杯。
项目
- Neural machine translation GitHub Topic
- Machine translation GitHub Topic
- Machine Translate Neural machine translation (NMT) Libraries and frameworks
- Marian Fast Neural Machine Translation in C++
- Argos Translate NMT, Uses OpenNMT for translations and PyQt for GUI.
- Attention is all you need: A Pytorch Implementation
- Fairseq(-py)
- 《机器翻译：基础与模型》Machine Translation: Foundations and Models
- Berkeley Neural Parser
- 灰狐翻译
文档
书籍
课程
公司
学院研究
- Machine translation research laboratories
- Statistical Machine Translation
- Microsoft Machine Translation
- The Berkeley NLP Group
- The Stanford Natural Language Processing Group
- Center of Language and Speech Processing
图集
知识体系
NLU,NLP,ASR
Attention is all you need 模型架构
链接
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