コード例 #1
0
        public void TestTrigramLanguageModelCreationFromText()
        {
            var ngramSize     = 3;
            var languageModel = new NGramLanguageModel(ngramSize);

            var stream = Tests.OpenFile("/opennlp/tools/languagemodel/sentences.txt", Encoding.UTF8);

            string line;

            while ((line = stream.ReadLine()) != null)
            {
                var list             = new List <string>(line.Split(new[] { ' ' }, StringSplitOptions.None));
                var generatedStrings = NGramGenerator.Generate(list, ngramSize, " ");
                foreach (var generatedString in generatedStrings)
                {
                    var tokens = generatedString.Split(new[] { ' ' }, StringSplitOptions.None);
                    if (tokens.Length > 0)
                    {
                        languageModel.Add(new StringList(tokens), 1, ngramSize);
                    }
                }
            }


            var predited = languageModel.PredictNextTokens(new StringList("neural", "network", "language"));

            Assert.That(predited, Is.EqualTo(new StringList("models")));

            var p1 = languageModel.CalculateProbability(new StringList("neural", "network", "language", "models"));
            var p2 = languageModel.CalculateProbability(new StringList("neural", "network", "language", "model"));

            Assert.That(p1, Is.GreaterThan(p2));
        }
コード例 #2
0
        public void TestSerializedNGramLanguageModel()
        {
            var languageModel = new NGramLanguageModel(Tests.OpenFile("/opennlp/tools/ngram/ngram-model.xml"), 3);

            var probability = languageModel.CalculateProbability(new StringList("The", "brown", "fox", "jumped"));

            Assert.That(probability, Is.InRange(0d, 1d), "a probability measure should be between 0 and 1 [was {0} ]",
                        probability);

            var tokens = languageModel.PredictNextTokens(new StringList("fox"));

            Assert.That(tokens, Is.EqualTo(new StringList("jumped")));
        }
コード例 #3
0
        public void TestNgramModel()
        {
            var model = new NGramLanguageModel(4)
            {
                { new StringList("I", "saw", "the", "fox"), 1, 4 },
                { new StringList("the", "red", "house"), 1, 4 },
                { new StringList("I", "saw", "something", "nice"), 1, 2 }
            };
            var probability = model.CalculateProbability(new StringList("I", "saw", "the", "red", "house"));

            Assert.That(probability, Is.InRange(0d, 1d), "a probability measure should be between 0 and 1 [was {0} ]",
                        probability);

            var tokens = model.PredictNextTokens(new StringList("I", "saw"));

            Assert.That(tokens, Is.EqualTo(new StringList("the", "fox")));
        }