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Machine translation
来自开放百科 - 灰狐
（版本间的差异）
小 (→课程) |
小 (→学院研究) |
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==学院研究== | ==学院研究== | ||
| + | *[https://statmt.org/ Statistical and Neural Machine Translation] | ||
*[https://machinetranslate.org/research-laboratories/research-laboratories/ Machine translation research laboratories] | *[https://machinetranslate.org/research-laboratories/research-laboratories/ Machine translation research laboratories] | ||
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*[https://www.microsoft.com/en-us/research/group/machine-translation-group/ Microsoft Machine Translation] | *[https://www.microsoft.com/en-us/research/group/machine-translation-group/ Microsoft Machine Translation] | ||
*[http://nlp.cs.berkeley.edu/ The Berkeley NLP Group] | *[http://nlp.cs.berkeley.edu/ The Berkeley NLP Group] | ||
2022年11月16日 (三) 04:05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
- Statistical and Neural Machine Translation
- Machine translation research laboratories
- 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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