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Machine translation
来自开放百科 - 灰狐
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==项目== | ==项目== | ||
+ | [[文件:OpenNMT-logo.png|right|OpenNMT]] | ||
+ | *[https://machinetranslate.org/ Machine Translate] [https://machinetranslate.org/building/libraries-frameworks/ Neural machine translation (NMT) Libraries and frameworks] | ||
+ | *[https://github.com/marian-nmt/marian Marian] Fast Neural Machine Translation in [[C++]] | ||
+ | *[https://github.com/argosopentech/argos-translate Argos Translate] NMT, Uses [https://opennmt.net/ OpenNMT] for translations and [[PyQt]] for GUI. | ||
+ | *[https://github.com/jadore801120/attention-is-all-you-need-pytorch Attention is all you need: A Pytorch Implementation] | ||
+ | *[https://github.com/pytorch/fairseq Fairseq(-py)] | ||
*[https://github.com/NiuTrans/MTBook 《机器翻译:基础与模型》]Machine Translation: Foundations and Models | *[https://github.com/NiuTrans/MTBook 《机器翻译:基础与模型》]Machine Translation: Foundations and Models | ||
+ | *[https://github.com/nikitakit/self-attentive-parser Berkeley Neural Parser] | ||
+ | *[[灰狐翻译]] | ||
==文档== | ==文档== | ||
*[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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+ | ==公司== | ||
+ | *[https://www.deepl.com/en/blog DeepL] | ||
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+ | ==学院研究== | ||
+ | *[https://machinetranslate.org/research-laboratories/research-laboratories/ Machine translation research laboratories] | ||
+ | *[https://statmt.org/ Statistical 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] | ||
+ | *[https://nlp.stanford.edu/projects/mt.shtml The Stanford Natural Language Processing Group] | ||
+ | *[https://www.clsp.jhu.edu/ Center of Language and Speech Processing] | ||
==图集== | ==图集== | ||
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image:mtbook-guideline.png|知识体系 | image:mtbook-guideline.png|知识体系 | ||
image:NLU-NLP-ASR.png|NLU,NLP,ASR | image:NLU-NLP-ASR.png|NLU,NLP,ASR | ||
+ | image:attention-is-all-you-need-pytorch.png|Attention is all you need 模型架构 | ||
</gallery> | </gallery> | ||
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*[http://www.infoq.com/cn/articles/machine-translation-bottleneck-trend 浅谈机器翻译之瓶颈及目前的研发趋势] | *[http://www.infoq.com/cn/articles/machine-translation-bottleneck-trend 浅谈机器翻译之瓶颈及目前的研发趋势] | ||
− | [[category: | + | [[category:computational linguistics]] |
[[category:natural language processing]] | [[category:natural language processing]] | ||
+ | [[category:artificial intelligence]] |
2022年3月21日 (一) 08:01的版本
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
- 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
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
链接
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