crazysal/ml_ai.txt

## ml_ai.txt

Google launches Cloud speech API(Limited preview) Google speech API news http://techcrunch.com/2016/03/23/google-opens-access-to-its-speech-recognition-api-going-head-to-head-with-nuance/

Baidu open sources some AI code https://github.com/baidu-research/warp-ctc

Yahoo releases largest dataset for machine learning Dataset https://yahooresearch.tumblr.com/

Comparison of machine learning frameworks Cornell Univ Paper http://arxiv.org/abs/1511.06435

Advance in visual intelligence NYT article http://www.nytimes.com/2015/12/11/science/an-advance-in-artificial-intelligence-rivals-human-vision-abilities.html

Major breakthrough in speech recognition: Deep Speech2: http://meanderful.blogspot.in/2015/12/there-you-go-speech-recognition-solved.html

Microsoft announces open source distributed machine learning toolkit(DMLT) https://www.microsoft.com/en-us/research/microsoft-open-sources-distributed-machine-learning-toolkit-for-more-efficient-big-data-research/

Google releases open source machine intelligence tool TensorFlow https://www.tensorflow.org/

Samsung launches distributed deep learning platform Veles https://velesnet.ml/

 The Link Grammar Parser is a syntactic parser of English, based on link grammar, an original theory of English syntax. Given a sentence, the system assigns to it a syntactic structure, which consists of a set of labeled links connecting pairs of words. The parser also produces a "constituent" representation of a sentence  http://www.link.cs.cmu.edu/link/


  GATE.ac.uk - index.html and Apache UIMA - Apache UIMA. They are general architectures for text processing which support a common representation of annotated text usable for many NLP tasks, enable integration and workflow configuration between modules.
  http://gate.ac.uk/  http://uima.apache.org/


TextTeaser: An automatic summarization application and API http://www.textteaser.com/


Use the links in the table below to download the pre-trained models for the OpenNLP 1.5 series http://opennlp.sourceforge.net/models-1.5/


OpenNLP
Natural Language Toolkit (NLTK)
Stanford NLP
MAchine Learning for LanguagE Toolkit (MALLET)
LingPipe
Freeling
TreeTagger

	Google launches Cloud speech API(Limited preview) Google speech API news http://techcrunch.com/2016/03/23/google-opens-access-to-its-speech-recognition-api-going-head-to-head-with-nuance/

	Baidu open sources some AI code https://github.com/baidu-research/warp-ctc

	Yahoo releases largest dataset for machine learning Dataset https://yahooresearch.tumblr.com/

	Comparison of machine learning frameworks Cornell Univ Paper http://arxiv.org/abs/1511.06435

	Advance in visual intelligence NYT article http://www.nytimes.com/2015/12/11/science/an-advance-in-artificial-intelligence-rivals-human-vision-abilities.html

	Major breakthrough in speech recognition: Deep Speech2: http://meanderful.blogspot.in/2015/12/there-you-go-speech-recognition-solved.html

	Microsoft announces open source distributed machine learning toolkit(DMLT) https://www.microsoft.com/en-us/research/microsoft-open-sources-distributed-machine-learning-toolkit-for-more-efficient-big-data-research/

	Google releases open source machine intelligence tool TensorFlow https://www.tensorflow.org/

	Samsung launches distributed deep learning platform Veles https://velesnet.ml/

	The Link Grammar Parser is a syntactic parser of English, based on link grammar, an original theory of English syntax. Given a sentence, the system assigns to it a syntactic structure, which consists of a set of labeled links connecting pairs of words. The parser also produces a "constituent" representation of a sentence http://www.link.cs.cmu.edu/link/


	GATE.ac.uk - index.html and Apache UIMA - Apache UIMA. They are general architectures for text processing which support a common representation of annotated text usable for many NLP tasks, enable integration and workflow configuration between modules.
	http://gate.ac.uk/ http://uima.apache.org/



	TextTeaser: An automatic summarization application and API http://www.textteaser.com/


	Use the links in the table below to download the pre-trained models for the OpenNLP 1.5 series http://opennlp.sourceforge.net/models-1.5/


	OpenNLP
	Natural Language Toolkit (NLTK)
	Stanford NLP
	MAchine Learning for LanguagE Toolkit (MALLET)
	LingPipe
	Freeling
	TreeTagger