/// <summary>
/// Initializes a new instance of the <see cref="AbstractAnalyzer" /> using a custom analyzer weight.
/// </summary>
/// <param name="tagger">The part-of-speech tagger used by this analyzer.</param>
/// <param name="weight">The analyzer weight.</param>
/// <exception cref="System.ArgumentNullException">tagger</exception>
public POSTaggerAnalyzer(POSTaggerME tagger, float weight)
: base(weight) {
if (tagger == null)
throw new ArgumentNullException("tagger");
Tagger = tagger;
}
/// <summary>
/// Initializes a new instance of the <see cref="AbstractAnalyzer" /> using a custom analyzer weight.
/// </summary>
/// <param name="tagger">The part-of-speech tagger used by this analyzer.</param>
/// <param name="weight">The analyzer weight.</param>
/// <exception cref="System.ArgumentNullException">tagger</exception>
public POSTaggerAnalyzer(POSTaggerME tagger, float weight)
: base(weight)
{
if (tagger == null)
{
throw new ArgumentNullException("tagger");
}
Tagger = tagger;
}
/// <summary>
/// Creates a new event array based on the outcomes predicted by the specified parameters for the specified sequence.
/// </summary>
/// <param name="sequence">The sequence to be evaluated.</param>
/// <param name="model">The model.</param>
/// <returns>The event array.</returns>
public Event[] UpdateContext(Sequence sequence, AbstractModel model)
{
var tagger = new POSTaggerME(new POSModel("x-unspecified", model, null, new POSTaggerFactory()));
var sample = sequence.GetSource <POSSample>();
var tags = tagger.Tag(sample.Sentence);
return(POSSampleEventStream.GenerateEvents(
sample.Sentence,
tags,
Array.ConvertAll(sample.AdditionalContext, input => (object)input),
contextGenerator).ToArray());
}
public void TestPOSTagger() {
var posModel = TrainPOSModel();
var tagger = new POSTaggerME(posModel);
var tags = tagger.Tag(new[] { "The", "driver", "got", "badly", "injured", "." });
Assert.AreEqual(6, tags.Length);
Assert.AreEqual("DT", tags[0]);
Assert.AreEqual("NN", tags[1]);
Assert.AreEqual("VBD", tags[2]);
Assert.AreEqual("RB", tags[3]);
Assert.AreEqual("VBN", tags[4]);
Assert.AreEqual(".", tags[5]);
}
/// <summary>
/// Initializes a new instance of the <see cref="POSTaggerAnalyzer"/> using the default analyzer weight.
/// </summary>
/// <param name="tagger">The part-of-speech tagger used by this analyzer.</param>
public POSTaggerAnalyzer(POSTaggerME tagger) : this(tagger, 4f)
{
}
/// <summary>
/// Creates a new event array based on the outcomes predicted by the specified parameters for the specified sequence.
/// </summary>
/// <param name="sequence">The sequence to be evaluated.</param>
/// <param name="model">The model.</param>
/// <returns>The event array.</returns>
public Event[] UpdateContext(Sequence sequence, AbstractModel model) {
var tagger = new POSTaggerME(new POSModel("x-unspecified", model, null, new POSTaggerFactory()));
var sample = sequence.GetSource<POSSample>();
var tags = tagger.Tag(sample.Sentence);
return POSSampleEventStream.GenerateEvents(
sample.Sentence,
tags,
Array.ConvertAll(sample.AdditionalContext, input => (object) input),
contextGenerator).ToArray();
}
/// <summary>
/// Initializes a new instance of the <see cref="POSTaggerAnalyzer"/> using the default analyzer weight.
/// </summary>
/// <param name="tagger">The part-of-speech tagger used by this analyzer.</param>
public POSTaggerAnalyzer(POSTaggerME tagger) : this(tagger, 4f) { }
