All Machine Learning (ML) engines that work with text can benefit from a solid linguistic background. If they are working in a multilingual environment, the need of a good lexicon (with forms, lemmas and attributes) is overwhelming. Even so, basic features such as Word Embeddings hugely improve when enriched with linguistic knowledge, and if this is not usually applied, is because of a lack of linguists working for ML companies.

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Did you hear that many people were banned at Twitter just by typing in Cyrillic? The reason was that thousands of Russian bots sent plenty of tweets in the two days preceding the EU referendum. It’s true that Russian language uses letters from the Cyrillic script, but the same is true for more than 20 languages around the world!