Steven Bird

See the following -

5 Open Source Natural Language Processing Tools

Open source is chock full of high-quality libraries to solve common problems in text processing like sentiment analysis, topic identification, automatic labeling of content, and more. More importantly, open source also provides many building block libraries that make it easy for you to innovate without having to reinvent the wheel. If all of this stuff is giving you flashbacks to your high school grammar classes, not to worry—we've included some useful resources at the end to brush up your knowledge as well as explain some of the key concepts around natural language processing (NLP). To begin your journey, check out these projects...

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Half of the World’s Languages Are Dying. Should We Save Them?

There are currently around 7,000 languages being used today, with one language dying every two weeks. UNESCO says that half of the world's languages may vanish in a century's time. And, in my home country of India, 220 languages have died in the last 50 years and 197 languages are endangered. Open science is advancing scientific research by enabling individuals and organizations to collaborate and exchange knowledge that improves each other’s work. One area that could use this kind of help is native languages around the world...