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State-of-the-art Natural Language Processing for 200+ Languages with 1 Line of code

Learn to harness the power of 1,000+ production-grade & scalable NLP models for 200+ languages – all available with just 1 line of Python code by leveraging the open-source NLU library, which is powered by the widely popular Spark NLP. It can be used for natural language processing applications in finance and other fields.

John Snow Labs has delivered over 80 releases of Spark NLP to date, making it the most widely used NLP library in the enterprise and providing the AI community with state-of-the-art accuracy and scale for a variety of common NLP tasks. The most recent releases include pre-trained models for over 200 languages – including languages that do not use spaces for word segmentation algorithms like Chinese, Japanese, and Korean, and languages written from right to left like Arabic, Farsi, Urdu, and Hebrew. All software and models are free and open source under an Apache 2.0 license.

This webinar will show you how to leverage the multi-lingual capabilities of Spark NLP & NLU – including automated language detection for up to 375 languages, and the ability to perform translation, named entity recognition, stopword removal, lemmatization, and more in a variety of language families. We will create Python code in real-time and solve these problems in just 30 minutes. The notebooks will then be made freely available online.

About the speaker

Christian Kasim Loan
Data Scientist

Data Scientist and Spark/Scala ML engineer