Original Post from stepya.com.
When learning a new language students often spend many hours trying to learn and decipher meanings of sentences by understanding grammar and the structure of the sentence. What is the subject of the sentence? What is the verb? What objects is the sentence talking about? However, Stanford’s Natural Language Processing Group is using statistics and probability to help computers understand sentences and human language. After getting enough sentences and breaking them down manually, a probabilistic parser will try to use that knowledge to produce a “most likely analysis” of the new sentence.
Try it out Stanford’s statistical parser yourself here!
Probabilistic parsers use knowledge of language gained from hand-parsed sentences to try to produce the most likely analysis of new sentences. These statistical parsers still make some mistakes, but commonly work rather well.
