Using NLP APIs

There are a number of NLP API classes that support SBD. Some are rule-based, whereas others use models that have been trained using common and uncommon text. We will illustrate the use of sentence-detection classes using the OpenNLP, Stanford, and LingPipe APIs.

The models can also be trained. The discussion of this approach is illustrated in the Training a sentence detector model section. Specialized models are needed when working with specialized text, such as medical or legal text.

Using OpenNLP

OpenNLP uses models to perform SBD. An instance of the SentenceDetectorME class is created, based on a model file. Sentences are returned by the sentDetect method, and position information is returned by the sentPosDetect method.

Using the SentenceDetectorME class

A model is loaded from a file using the SentenceModel class. An instance of the SentenceDetectorME class is then created using the model, and the sentDetect method is invoked to perform SBD. The method returns an array of strings...