Linguine

A Web-Based Language Analysis Tool!

For any Stanford CoreNLP analyses, any ‘Tokenize’ Preprocessing Options will not effect the outcome of analyses. They can be selected without error but will not change the result.

Complete the pre-testing survey here
Download and unzip the Fresh.txt zip file
Login to Linguine using your DCE (RIT Username. Ex: abc1234@rit.edu) account: http://nlp.rit.edu/linguine/
- Please open the Linguine app in a new window in order to follow directions from this webpage in the tool

Add the Fresh.txt file as a corpus to the Linguine tool. You can name it anything you like.
Using the Fresh.txt file as the corpus, perform a Named Entity Recognition Analysis. Choose any preprocessing options you would like.
- How many NUMBER entities are recognized?
  - Hint: switch from the ‘Visualization’ tab to the ‘Default View’ tab and use the search feature to look for ‘NUMBER’.
- Using the Fresh.txt file as the corpus, perform a Term Frequency Analysis. For preprocessing options feel free to select any that you like.
  - What is the most frequently used word?
  - How many unique words (word types) are there?