/// <summary>
/// Initializes a new instance of the <see cref="ChunkerME"/> with the specified <see cref="ChunkerModel"/>.
/// </summary>
/// <param name="model">The chunker model.</param>
public ChunkerME(ChunkerModel model)
{
contextGenerator = model.Factory.GetContextGenerator();
sequenceValidator = model.Factory.GetSequenceValidator();
this.model = model.ChunkerSequenceModel ?? new BeamSearch(model.BeamSize, model.MaxentModel);
}
/// <summary>
/// Initializes the current instance with the specified model and the specified beam size.
/// </summary>
/// <param name="model">The model for this chunker</param>
/// <param name="beamSize">The size of the beam that should be used when decoding sequences.</param>
/// <param name="sequenceValidator">The <see cref="ISequenceValidator{String}"/> to determines whether the outcome is valid for the preceding sequence. This can be used to implement constraints on what sequences are valid..</param>
/// <param name="contextGenerator">The context generator.</param>
internal ChunkerME(ChunkerModel model, int beamSize, ISequenceValidator <string> sequenceValidator, IChunkerContextGenerator contextGenerator)
{
// This method is marked as deprecated in the OpenNLP, but it is required in the Parser,
// I could change the cg in the factory, but its not ideal in this situation (i think) :P
this.sequenceValidator = sequenceValidator;
this.contextGenerator = contextGenerator;
this.model = model.ChunkerSequenceModel ?? new BeamSearch(beamSize, model.MaxentModel);
}
