NLTK Success Stories

Educational Testing Service

The NLP and Speech research group at ETS consists of 15 research scientists working on almost all aspects of language and speech processing – paraphrase recognition, grammatical error correction, automated speech recognition etc. NLTK forms a big part of our day-to-day research. We regularly use a lot of the data structures (Tree, ProbDist etc.) in our code in addition to its very useful interfaces to Weka, the Stanford Tagger and MALLET. Most recently, we used the capability of writing custom context-free grammars and using them with the NLTK native ChartParser for an important research deliverable. In short, it would be difficult to do NLP research at ETS without NLTK.