# Sentence corpus **URL:** \ **Category:** Elasticsearch\ **Created:** [May 9, 2012, 6:58pm UTC](https://discuss.elastic.co/t/sentence-corpus/7622 "2012-05-09T18:58:47Z")\ **Posts on this page:** 2\ **Page:** 1
**Author:** ![Hector](https://sea2.discourse-cdn.com/elastic/user_avatar/discuss.elastic.co/hector/32/2891_2.png) [@Hector](https://discuss.elastic.co/u/Hector)\ **Post date:** [May 9, 2012, 6:58pm UTC](https://discuss.elastic.co/t/sentence-corpus/7622/1 "2012-05-09T18:58:47Z")
Hi all, I have a collection of sentences from different sources (e.g. wikipedia) in different languages (e.g. English, Spanish). Some would say it's a multilingual corpus. I'm currently using Python + MongoDB to store and query these sentences, but would like to start exploring elasticsearch. The following is a description of my use case (preferably using Python): (1) Take a bunch of plain text files; (2) Do some pre-processing on them to convert each sentence into a json representation that elasticsearch would like; (3) Be able to control which words in each sentence are actually indexed; for example, I don't need stemming, but I might use lemmatization at some point, and also I don't need to index numbers; (4) Bulk load all these sentences into elasticsearch; (5) Create an index (if it's not already there); (6) Then be able to search something like "from corpus C, in language L, find the set of sentences S that only contain words which are in a permissible set of words P". Does this look like a good opportunity to use elasticsearch? Would you please provide pointers for what to do in the previous steps? Thanks! -- Hector ---
**Author:** ![system](https://us1.discourse-cdn.com/elastic/original/3X/1/a/1ac57faf039f6b580b3f104ef42a2a89e41014de.png) [@system](https://discuss.elastic.co/u/system)\ **Post date:** [July 6, 2017, 3:29am UTC](https://discuss.elastic.co/t/sentence-corpus/7622/2 "2017-07-06T03:29:34Z")