Context: Some words, like “the” or “and” in English, are used a lot in speech and writing. For most Natural Language Processing applications, you will want to remove these very frequent words. This is usually done using a list of “stopwords” which has been complied by hand. Content: This dataset contains a list of stopwords for the following languages (Languages which are not from the Indo-European language family have been starred): * English * French * German * Italian * Spanish * Portuguese * Finnish* * Swedish * Arabic* * Russian * Hungarian * Bulgarian * Romanian * Czech * Polish * Persian/Farsi * Hindi * Marathi * Bengali Acknowledgements: This dataset is Copyright (c) 2005, Jacques Savoy and distributed under the [BSD License](http://www.opensource.org/licenses/bsd-license.html). More information can be found [here](http://members.unine.ch/jacques.savoy/clef). Inspiration: This dataset is mainly helpful for use during NLP analysis, however there may some interesting insights to be found in the data. * What qualities do stopwords share across languages? Given a novel language, could you predict what its stopwords should be? * What stopwords are shared across languages? * Often, related languages will have words with the same meaning and similar spellings. Can you automatically identify any of these pairs of words? You may also like: * [Stopword Lists for 9 African Languages](https://www.kaggle.com/rtatman/stopword-lists-for-african-languages)