A look back at OpenNLP's 2017.
OpenNLP got off to a quick start in 2017 thanks to a 1.7.0 release on December 31, 2016. This version added support for Java 8 and set the tone for OpenNLP's 2017. In total, there were 7 releases in 2017. OpenNLP also got a new logo and website in 2017 with an updated look and easier navigation. OpenNLP also released its first model, a language detection model capable of identifying 103 languages. OpenNLP moved to GitHub for source management greatly simplifying the process of reviewing and merging pull requests.
Some features and improvements that were added to OpenNLP in 2017 include:
Apache OpenNLP has added 6 new committers and PMC members in 2017.
Apache OpenNLP was presented at several events in 2017 and there will be more OpenNLP talks in 2018 across the world.
|Deriving Actionable Insights from High Volume Media Streams by Peter Thygesen and Jörn Kottmann|
|Embracing Diversity: Searching over multiple languages Tommaso Teofili and Suneel Marthi, Berlin Buzzwords, Berlin Germany, June 12, 2017|
|A Deep Text Analysis System based on OpenNLP Boris Galitsky, ApacheCon Europe 2016, Seville Spain, November 2016|
|It takes a Village to solve a Problem in Data Science Daniel Russ, Data Science Maryland Meetup, Laurel Maryland, June 19, 2017|
Large Scale Processing of Text Suneel Marthi, Hadoop Summit/DataWorks Summit, San Jose California, June 15, 2017
OpenNLP had 7 releases in 2017. They were:
The OpenNLP team was very excited to announce the language detection model's release on November 2, 2017. This model is capable of identifying 103 languages. The model is available for download from the OpenNLP website.
OpenNLP added 6 new committers and PMC members in 2017. There are currently 21 committers and 15 PMC members.
OpenNLP powers an Air New Zealand Oscar chat bot.
“Air New Zealand uses OpenNLP to power its chatbot, Oscar. Launched in February 2017, Oscar provides a conversational interface for customers to ask questions about flights, amenities and policies. Using OpenNLP, we’ve been able to consistently provide over 50% conversational success and support hundreds of intents.”
See other uses of OpenNLP.