Jeff Elmore

Number of videos:
2
Measuring and modeling the complexity of children's books
PyCon US 2013
Jeff Elmore
Recorded: March 15, 2013Language: English

Researchers have been modeling text difficulty for over 50 years. A variety of models have been developed, but few have focused on books for emerging readers (Grades K-2). We used Python for nearly every aspect of the project including collecting data from reading educators, analyzing text features and psychometric data, and creating a predictive model. Tools used include scipy, scikit-learn, pandas, and extensive use of the IPython Notebook which is demonstrated in the talk.

Parsing sentences with the OTHER natural language tool: LinkGrammar
PyCon US 2012
Jeff Elmore
Recorded: March 11, 2012Language: English

Many of you are probably familiar with NLTK, the wonderful Natural Language Toolkit for Python. You may not be familiar with Linkgrammar, which is a sentence parsing system created at Carnegie Melon university. Linkgrammar is quite robust and works "out of the box" in a way that NLTK does not for sentence parsing.