/// <summary>
/// Инциализирует новый экземпляр класса <see cref="MorphologyModel"/>.
/// </summary>
/// <param name="nGramm">N-граммная модель.</param>
/// <param name="entModel">Модель классов неоднозначности.</param>
/// <param name="folder">Папка для хранения файлов модели.</param>
/// <param name="lemmaFile">Файл лемматизатора.</param>
public MorphologyModel(TagNGramm nGramm, IEntropyClassModel entModel,
string folder, string lemmaFile)
{
this.nGramm = nGramm;
this.entClass = entModel;
this.folder = folder;
if (Directory.Exists(folder))
{
Directory.Delete(folder, true);
}
Directory.CreateDirectory(folder);
this.lemmaFile = folder + "\\" + lemmaFile;
File.Copy(lemmaFile, this.lemmaFile);
FileStream fs = File.OpenRead(this.lemmaFile);
lemmatizer = new Lemmatizer(fs);
Initialize();
}
/// <summary>
/// Трунирует модель классов энтропии.
/// </summary>
/// <param name="inputFile">Входной файл словаря.</param>
/// <param name="reader">Объект для чтения корпуса.</param>
private void BuildEntropyClassModel(string inputFile, ICorporaReader reader)
{
entClass = new DawgEntropyClassModel();
reader.Open(inputFile);
serviceTags = new Dictionary <string, Tag>();
foreach (WordForm lexem in reader.ReadDictionary(long.MaxValue))
{
if ((lexem.Tag & (Tag.Conjunction | Tag.Particle | Tag.Preposition)) != 0)
{
Tag outTag = Tag.NoWord;
serviceTags.TryGetValue(lexem.Word.ToLower(), out outTag);
serviceTags[lexem.Word.ToLower()] = outTag | lexem.Tag;
}
entClass.AddLexem(lexem);
}
((DawgEntropyClassModel)entClass).Build();
reader.Close();
}
/// <summary>
/// Инциализирует новый экземпляр класса <see cref="MorphologyModel"/>.
/// </summary>
/// <param name="si">Информация о сериализации.</param>
/// <param name="context">Контекст.</param>
protected MorphologyModel(SerializationInfo si, StreamingContext context)
{
this.folder = si.GetString("folder");
this.groups = (List <TagGroup>)si.GetValue("groups", typeof(List <TagGroup>));
this.punctuation = (List <string>)si.GetValue("punctuation", typeof(List <string>));
using (FileStream fs1 = File.Open(string.Format("{0}/{1}", folder, "nGramm.mdl"), FileMode.Open))
using (FileStream fs2 = File.Open(string.Format("{0}/{1}", folder, "entClass.mdl"), FileMode.Open))
{
this.nGramm = Serializer.Deserialize <TagNGramm>(fs1);
this.entClass = new DawgEntropyClassModel();
entClass.Load(fs2);
}
this.sentenceDelimiters = (List <string>)si.GetValue("delimiters", typeof(List <string>));
this.lemmaFile = si.GetString("lemmaFile");
FileStream fs = File.Open(this.lemmaFile, FileMode.Open);
this.lemmatizer = new Lemmatizer(fs);
this.sentencePattern = (Regex)si.GetValue("sentencePattern", typeof(Regex));
this.lexemPattern = (Regex)si.GetValue("lexemPattern", typeof(Regex));
this.minLengh = si.GetInt32("minLenght");
serviceTags = (Dictionary <string, Tag>)si.GetValue("serviceTags",
typeof(Dictionary <string, Tag>));
}
