Пример #1
0
        public void TestSortBySimilarity()
        {
            string lexiquePath = @"C:\Users\VR1\source\repos\phonos\data\Lexique383.tsv";
            var    nouns       = LexiqueParser.ParseLexique(lexiquePath)
                                 .Where(e => e.POS == "NOM")
                                 .ToArray();

            var phoneticDistance    = new PhoneticDistance(new SyllableDistance(Distances.Distances.NeighborhoodVowelDistance, Distances.Distances.NeighborhoodConsonantDistance));
            var realizationComputer = new RealizationComputer();
            var rng = new Random();

            var reference = realizationComputer.Compute(nouns[rng.Next(nouns.Length)]).Single();

            var res = new List <Tuple <double, Realization> >();

            foreach (var noun in nouns)
            {
                var realization = realizationComputer.Compute(noun).Single();
                var distance    = phoneticDistance.GetDistance(reference, realization);
                var similarity  = 1 / (1 + distance);
                res.Add(Tuple.Create(similarity, realization));
            }

            var sorted = res.OrderByDescending(t => t.Item1).ToArray();
        }
Пример #2
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        public static NeighborhoodBuilder Init(string lexiquePath)
        {
            var nouns = LexiqueParser.ParseLexique(lexiquePath)
                        .Where(e => e.POS == "NOM")
                        .Select(e => new WordForm(e.WordForm, _realizationComputer.Compute(e)))
                        .ToArray();

            var nounsByForm = nouns.ToLookup(e => e.GraphicForm);

            return(new NeighborhoodBuilder(nouns, nounsByForm));
        }
Пример #3
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        public void TestParseLine()
        {
            string line = "grumeleuses\tgRym°l2z\tgrumeleux\tADJ\tf\tp\t0.33\t1.89\t0.02\t0.14\t\t1\t2\t0\t11\t8\tCCVCVCVVCVC\tCCVCVCVC\t0\t0\t0\t0\tgRy-m°-l2z\t3\tCCV-CV-CVC\tsesuelemurg\tz2l°myRg\tgru-me-leu-ses\tADJ\t63\t19\t3.4\t\tgrumeleux\t1\n";

            var expected = new LexiqueEntry("grumeleuses", "grumeleux", "ADJ",
                                            phonemes: new[]
            {
                new ContextualPhoneme(Phonemes.g),
                new ContextualPhoneme(Phonemes.R),
                new ContextualPhoneme(Phonemes.y),
                new ContextualPhoneme(Phonemes.m),
                new ContextualPhoneme(Phonemes._e, isElidable: true),
                new ContextualPhoneme(Phonemes.l),
                new ContextualPhoneme(Phonemes.eu),
                new ContextualPhoneme(Phonemes.z),
            });

            var entry = LexiqueParser.ParseEntry(line);

            Assert.Equal(expected, entry);
        }
Пример #4
0
        public void TestComputeAllNounDistances()
        {
            string lexiquePath = @"C:\Users\VR1\source\repos\phonos\data\Lexique383.tsv";
            var    nouns       = LexiqueParser.ParseLexique(lexiquePath)
                                 .Where(e => e.POS == "NOM")
                                 .ToArray();

            var phoneticDistance    = new PhoneticDistance(new SyllableDistance(Distances.Distances.NeighborhoodVowelDistance, Distances.Distances.NeighborhoodConsonantDistance));
            var realizationComputer = new RealizationComputer();

            var res = new List <Tuple <double, Realization, Realization> >();

            foreach ((var n1, var n2) in nouns.UnorderedPairs())
            {
                var r1         = realizationComputer.Compute(n1).Single();
                var r2         = realizationComputer.Compute(n2).Single();
                var distance   = phoneticDistance.GetDistance(r1, r2);
                var similarity = 1 / (1 + distance);
                res.Add(Tuple.Create(similarity, r1, r2));
            }

            var sorted = res.OrderByDescending(t => t.Item1).ToArray();
        }
Пример #5
0
 public void TestParseLexique()
 {
     string lexiquePath = @"C:\Users\VR1\source\repos\phonos\data\Lexique383.tsv";
     var    nouns       = LexiqueParser.ParseLexique(lexiquePath)
                          .ToArray();
 }