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Stanford CoreNLP provides a set of natural language analysis tools which can take raw English language text input and give the base forms of words, their parts of speech, whether they are names of companies, people, etc., normalize dates, times, and numeric quantities, mark up the structure of sentences in terms of phrases and word dependencies, and indicate which noun phrases refer to the same entities. It provides the foundational building blocks for higher level text understanding applications.
/**
* Contains two implementations of finite state machines. One is DFSA, which is older and used in some of
* the old parse code. The second is TransducerGraph, which represents a transducer (a generalization of a FSM) and is
* used in the newer grammar compaction code currently used in the parser.
* For questions contact Dan Klein ([email protected]) or Teg Grenager ([email protected]).
*/
package edu.stanford.nlp.fsm;