private string NormalizeAndCreateAlphabet(string [] words, ILemmatizer lemmatizer, IStemmer stemmer, List <string> alphabet)
{
if (words == null || lemmatizer == null || stemmer == null)
{
throw new Exception("Null parameters while normalizing text");
}
var preprocessedText = new StringBuilder();
for (var i = 0; i < words.Length; i++)
{
var newWord = stemmer.Stem(lemmatizer.Lemmatize(words[i].ToLower())); //firstly the words are lemmatized, then stemmed
words[i] = newWord;
preprocessedText.Append(newWord);
preprocessedText.Append(' ');
if (alphabet.Find(x => x == newWord) == null)
{
alphabet.Add(newWord); //creating alphabet of words in text
}
}
alphabet.Sort(); //alphabet is sorted so other method could use it to convert words to numbers in text
return(preprocessedText.ToString());
}
public TrainDataParser(String path)
{
this._stemmer = new RussianStemmer(); //RUSSIAN STEMMER
this._dPath = path;
this._s = Path.Combine(System.IO.Directory.GetCurrentDirectory(), "LData");
this.lm = new LemmatizerPrebuiltCompact(LanguagePrebuilt.Russian);//RUSSIAN LEMMATIZER IS BEING USED NOW
}
private static string LemmatizeWord(ILemmatizer lmtz, string word)
{
string wordLower = word.ToLower();
string lemma = lmtz.Lemmatize(wordLower);
return(lemma);
}
public UploadFileHandler(
ReaderAppContext dbContext,
IAuthorizationService authService,
IMapper mapper,
IUserFileStore userFilesStore,
IFileProcessedWordsCache filesWordsCache,
ILemmatizer lemmatizer,
IUserDictionary userDictionary,
PipeBuilder pipeBuilder) : base(dbContext, authService, mapper) => (_userFilesStore, _filesWordsCache, _lemmatizer, _userDictionary, _pipeBuilder) = (userFilesStore, filesWordsCache, lemmatizer, userDictionary, pipeBuilder);
/// <summary>
/// Initializes the current instance.
/// </summary>
/// <param name="lemmatizer">A lemmatizer.</param>
/// <param name="listeners">An array of evaluation listeners.</param>
public LemmatizerEvaluator(ILemmatizer lemmatizer, params IEvaluationMonitor <LemmaSample>[] listeners) : base(listeners)
{
if (lemmatizer == null)
{
throw new ArgumentNullException(nameof(lemmatizer));
}
this.lemmatizer = lemmatizer;
}
private void LoadLemmatizer()
{
if (!alreadyLoadLemmatizer)
{
lmtz = new LemmatizerPrebuiltCompact(LemmaSharp.LanguagePrebuilt.English);
alreadyLoadLemmatizer = true;
}
}
/// <summary>
/// Initializes a new instance of the <see cref="LemmatizerAnalyzer"/> class.
/// </summary>
/// <param name="lemmatizer">The lemmatizer.</param>
/// <exception cref="System.ArgumentNullException">
/// <paramref name="lemmatizer"/>
/// </exception>
public LemmatizerAnalyzer(ILemmatizer lemmatizer)
{
if (lemmatizer == null)
{
throw new ArgumentNullException("lemmatizer");
}
this.lemmatizer = lemmatizer;
}
private static string[] LemmatizePhrase(ILemmatizer lmtz, string phrase)
{
var words = phrase.Split(
new char[] { ' ', ',', '.', ')', '(' }, StringSplitOptions.RemoveEmptyEntries);
for (var i = 0; i < words.Length; i++)
{
words[i] = LemmatizeWord(lmtz, words[i]);
}
return(words);
}
/// <summary>
/// Lemmatize the phrases.
/// </summary>
private static List <string> Lemmatize(List <string> lstPhrases, ILemmatizer lmtz)
{
var lemmaListPhrases = new List <string[]>();
foreach (var phrase in lstPhrases)
{
var words = phrase.Split(
new char[] { ' ', ',', '.', ')', '(' }, StringSplitOptions.RemoveEmptyEntries);
lemmaListPhrases.Add(words);
}
foreach (var arrOfWords in lemmaListPhrases)
{
for (var i = 0; i < arrOfWords.Length; i++)
{
arrOfWords[i] = LemmatizeWord(lmtz, arrOfWords[i]);
}
}
return(lemmaListPhrases.Select(arr => string.Join(" ", arr)).ToList());
}
/// <summary>
/// Processes single file specified in the path parameter. If targetPath is specified, the result will be written in that location.
/// If targetPath is not specified, result path will be built by replacing 'lemma-source' by 'lemma-output' in the original file path.
/// </summary>
/// <param name="path">file location</param>
/// <param name="lemmatizer">Lemmatizer from lemmagen that should process the file</param>
/// <param name="targetPath">target file location and name</param>
private static void processFile(string path, ILemmatizer lemmatizer, string targetPath = null)
{
Console.WriteLine("Processing file {0}", new FileInfo(path).Name);
string fileContent = readFile(path);
if (fileContent == null)
{
return;
}
string[] wordList = prepareFileContent(fileContent);
List <string> resultList = new List <string>();
foreach (string word in wordList)
{
resultList.Add(processWord(word, lemmatizer));
}
writeOutputFile(resultList.ToArray(), path, targetPath);
}
public IDictionary<string, int> MakeDictionary(string text, ILemmatizer lemmatizer)
{
var dictionary = InitDictionary();
var words = text.Split(_splitters, StringSplitOptions.RemoveEmptyEntries);
foreach (var word in words)
{
int tmp;
if (Int32.TryParse(word, out tmp))
{
continue;
}
string lowerWord = lemmatizer.Lemmatize(word.ToLower().Trim());
if (!dictionary.ContainsKey(lowerWord))
dictionary[lowerWord] = 1;
else
dictionary[lowerWord] += 1;
}
return dictionary;
}
public async static Task <IEnumerable <LemmaGroup> > GroupLemmas(IEnumerable <string> words, ILemmatizer lemmatizer)
{
var map = new Dictionary <string, LemmaGroup>();
foreach (var word in words)
{
var lemma = await lemmatizer.Lemmatize(word);
if (!map.ContainsKey(lemma))
{
map.Add(lemma, new LemmaGroup(lemma));
}
map[lemma].AddToGroup(word);
}
return(map.Values);
}
/// <summary>
/// this needs 32 bit version of project
/// You can change it in project properties
/// </summary>
public AOTLemmatizer()
{
lemmatizerRu = new LemmatizerRussian();
lemmatizerRu.LoadDictionariesRegistry();
}
/// <summary>
/// Only taking tokens of at least 3 chars.
/// </summary>
/// <param name="text"></param>
/// <param name="threeshold"></param>
/// <returns></returns>
private static Dictionary <string, int> Tokenize(string text, int threeshold, string language)
{
Dictionary <string, int> WordCount = new Dictionary <string, int>();
ILemmatizer lmtz = null;
switch (language)
{
case "eng":
lmtz = new LemmatizerPrebuiltCompact(LemmaSharp.LanguagePrebuilt.English);
break;
case "fra":
lmtz = new LemmatizerPrebuiltCompact(LemmaSharp.LanguagePrebuilt.French);
break;
}
text = text.Replace("\r\n", " ");
Dictionary <string, int> entities = NlpHelper.GetNamedEntititesForText(text);
LogHelper.Log("entities:" + entities.Count.ToString());
string[] words = text.Split(new char[] { ' ', ',', '.', ')', '(' }, StringSplitOptions.RemoveEmptyEntries);
for (int i = 0; i < words.Length; i++)
{
var word = words[i].ToLowerInvariant();
var LeftWord = (i > 0) ? words[i - 1].ToLowerInvariant() : string.Empty;
var RightWord = (i < (words.Length - 1)) ? words[i + 1].ToLowerInvariant() : string.Empty;
if (word.Length < 3) //avoid unnecessary lemmatization
{
continue;
}
string LeftBiGramKey = string.Concat(LeftWord, " ", word);
string RightBiGramKey = string.Concat(word, " ", RightWord);
string TriGramKey = string.Concat(LeftWord, " ", word, " ", RightWord);
string NamedEntity = null;
if (entities.ContainsKey(word.ToLowerInvariant()))
{
if (entities[word.ToLowerInvariant()] != 2)
{
NamedEntity = word;
}
}
else if (entities.ContainsKey(LeftBiGramKey))
{
if (entities[LeftBiGramKey] != 2)
{
NamedEntity = string.Concat(LeftWord, " ", word);
}
}
else if (entities.ContainsKey(RightBiGramKey))
{
if (entities[RightBiGramKey] != 2)
{
NamedEntity = string.Concat(word, " ", RightWord);
}
}
else if (entities.ContainsKey(TriGramKey))
{
if (entities[TriGramKey] != 2)
{
NamedEntity = string.Concat(LeftWord, " ", word, " ", RightWord);
}
}
if (NamedEntity != null)
{
if (!WordCount.ContainsKey(NamedEntity))
{
WordCount.Add(NamedEntity, 1);
}
else
{
WordCount[NamedEntity]++;
}
}
else
{
string lemma = (lmtz != null) ? LemmatizeOne(lmtz, word) : word;
if (lemma.Length < 3) //ignore lemma of less than 3 characters
{
continue;
}
if (!WordCount.ContainsKey(lemma))
{
WordCount.Add(lemma, 1);
}
else
{
WordCount[lemma]++;
}
}
}
Dictionary <string, int> ElligibleWords = WordCount.Where(
w => w.Value >= threeshold).Select(w => new { w.Key, w.Value }).ToDictionary(w => w.Key, w => w.Value);
return(ElligibleWords);
}
public TextUtil()
{
_lmtz = new LemmatizerPrebuiltCompact(LanguagePrebuilt.English);
}
/// <summary>
/// Converts single word to lowercase and lemmatizes
/// </summary>
/// <param name="word"></param>
/// <param name="lemmatizer"></param>
/// <returns></returns>
private static string processWord(string word, ILemmatizer lemmatizer)
{
return lemmatizer.Lemmatize(word.ToLower());
}
/// <summary>
/// Processes single file specified in the path parameter. If targetPath is specified, the result will be written in that location.
/// If targetPath is not specified, result path will be built by replacing 'lemma-source' by 'lemma-output' in the original file path.
/// </summary>
/// <param name="path">file location</param>
/// <param name="lemmatizer">Lemmatizer from lemmagen that should process the file</param>
/// <param name="targetPath">target file location and name</param>
private static void processFile(string path, ILemmatizer lemmatizer, string targetPath = null)
{
Console.WriteLine("Processing file {0}", new FileInfo(path).Name);
string fileContent = readFile(path);
if (fileContent == null)
return;
string[] wordList = prepareFileContent(fileContent);
List<string> resultList = new List<string>();
foreach(string word in wordList)
{
resultList.Add(processWord(word, lemmatizer));
}
writeOutputFile(resultList.ToArray(), path, targetPath);
}
//COMPUTE BY VECTORS AND OPERATIONS IDS OF DOCUMENTS.
private static SimpleTextCrawler.Structures.LinkedList <Int32> __GetIds(ILemmatizer lemmer, LinkedDictionary <String, IndexEntry> indexer, String[] expr)
{
SimpleTextCrawler.Structures.LinkedList <Int32> IDS = new SimpleTextCrawler.Structures.LinkedList <Int32>();
LinkedStack <Boolean[]> V = new LinkedStack <Boolean[]>();
Int32 i = 0;
while (i < expr.Length)
{
if (__isUnOperator(expr[i]))
{
if (V.IsEmpty())
{
Console.WriteLine("Error in Expression");
return(IDS);
}
Boolean[] vi = V.Top();
V.Pop();
for (Int32 j = 1; j < 101; j++)
{
vi[j] = !(vi[j]);
}
V.Push(vi);
}
else if (__isOperator(expr[i]))
{
if (V.Count < 2)
{
Console.WriteLine("Error in Expression");
return(IDS);
}
Boolean[] o1 = V.Top();
V.Pop();
Boolean[] o2 = V.Top();
V.Pop();
Boolean[] r = new Boolean[101];
switch (expr[i])
{
case "and": {
for (Int32 j = 1; j < 101; j++)
{
r[j] = o1[j] && o2[j];
}
break;
}
case "or": {
for (Int32 j = 1; j < 101; j++)
{
r[j] = o1[j] || o2[j];
}
break;
}
default: {
for (Int32 j = 1; j < 101; j++)
{
r[j] = o1[j] && o2[j];
}
break;
}
}
V.Push(r);
}
else
{
//Console.WriteLine("Lemma: "+lemmer.Lemmatize(expr[i]));
V.Push(__GetBVector(indexer, lemmer.Lemmatize(expr[i])));
//Console.WriteLine("added");
}
i++;
}
if (V.IsEmpty())
{
Console.WriteLine("Error in Expression");
return(IDS);
}
Boolean[] r_v = V.Top();
V.Pop();
for (Int32 d = 1; d < 101; d++)
{
if (r_v[d])
{
IDS.Add(d);
}
}
return(IDS);
}
public static void Register(Language language, ILemmatizer lemmatizer) => _perLanguage[language] = lemmatizer;
public GetWordInfoHandler(
ITranslationProvider translationProvider,
IWordDefinitionProvider definitionProvider,
ILemmatizer lemmatizer) => (_translationProvider, _definitionProvider, _lemmatizer) = (translationProvider, definitionProvider, lemmatizer);
public LemmaGen()
{
_lemmatizer = new LemmatizerPrebuiltCompact(LemmaSharp.LanguagePrebuilt.English);
}
public LemmaFilter(ILemmatizer lemmatizer) => _lemmatizer = lemmatizer;
public Morpho()
{
lemmatizerRus = new LemmatizerRussian();
al = new ArrayList();
}
/// <summary>
/// Converts single word to lowercase and lemmatizes
/// </summary>
/// <param name="word"></param>
/// <param name="lemmatizer"></param>
/// <returns></returns>
private static string processWord(string word, ILemmatizer lemmatizer)
{
return(lemmatizer.Lemmatize(word.ToLower()));
}
public Index(ILemmatizer lemmatizer, string filename = "index.json")
{
this.Lemmatizer = lemmatizer;
this.filename = filename;
LoadFromJson(filename);
}
public LemmaGen(LemmaSharp.LanguagePrebuilt language)
{
_lemmatizer = new LemmatizerPrebuiltCompact(language);
}
/// <summary>
/// Initializes a new instance of the <see cref="LemmatizerAnalyzer"/> class.
/// </summary>
/// <param name="lemmatizer">The lemmatizer.</param>
/// <exception cref="System.ArgumentNullException">
/// <paramref name="lemmatizer"/>
/// </exception>
public LemmatizerAnalyzer(ILemmatizer lemmatizer) {
if (lemmatizer == null)
throw new ArgumentNullException("lemmatizer");
this.lemmatizer = lemmatizer;
}
public LemmatizerImplementation()
{
lemmatizer = new LemmaSharp.Classes.Lemmatizer(System.IO.File.OpenRead(
"Lemmas/full7z-mlteast-en.lem")
);
}
public Morpher(ILemmatizer lemmatizer)
{
this.lemmatizer = lemmatizer;
}
static void Main(string[] args)
{
var rmlPath = System.Environment.GetEnvironmentVariable("RML");
Console.WriteLine("For test LemmatizerNET you need Lemmatizer dictionaries (RML)");
Console.Write("\tRML directory (" + rmlPath + "): ");
if (string.IsNullOrEmpty(rmlPath))
{
var newRmlPath = Console.ReadLine();
if (!string.IsNullOrEmpty(newRmlPath))
{
rmlPath = newRmlPath;
}
}
//Console.Write("Select language 'R'-Russian, 'G'-German, 'E'-English (default - R): ");
var langStr = "R"; // Console.ReadLine().ToUpper(CultureInfo.InvariantCulture);
MorphLanguage lang;
switch (langStr)
{
case "":
case "R":
lang = MorphLanguage.Russian;
break;
case "G":
lang = MorphLanguage.German;
break;
case "E":
lang = MorphLanguage.English;
break;
default:
Console.WriteLine("Wrong selection. Using default language Russian");
lang = MorphLanguage.Russian;
break;
}
ILemmatizer lem = LemmatizerFactory.Create(lang);
string rgt = "";
try
{
StreamReader r = new StreamReader(rmlPath + @"\Dicts\Morph\" + langStr.ToLower() + "gramtab.tab", Encoding.GetEncoding(1251));
rgt = r.ReadToEnd(); r.Close();
}
catch (Exception e)
{
}
try
{
var manager = FileManager.GetFileManager(rmlPath);
lem.LoadDictionariesRegistry(manager);
}
catch (IOException e)
{
Console.WriteLine("Unable to load dictionaries due to the following:\r\n\t");
Console.WriteLine(e.Message);
return;
}
while (true)
{
Console.Write("\nInput word (q - exit): ");
var word = Console.ReadLine().Replace("\"", "").Replace("'", "").Trim();
if (word.Equals("q", StringComparison.InvariantCultureIgnoreCase))
{
return;
}
//Позволяет декодировать грамкоды
if (word.ToLower().Contains("g") || word.Contains("\t") || word.Contains("\a")) //m_gramcodes = 0x0322630c "абажай"
{
string gc = Regex.Match(word, "[А-Яа-яёЁ]+").Groups[0].Value;
string r = "";
for (int i = 0; i < gc.Length / 2; i++)
{
Console.WriteLine(Regex.Match(rgt, "^" + gc.Substring(2 * i, 2) + "[^а-яА-яЕё]*(.*)", RegexOptions.Multiline).Groups[1].Value.Replace("\r", ""));
}
Console.WriteLine("");
continue;
}
var paradigmList = lem.CreateParadigmCollectionFromForm(word, false, false);
if (paradigmList.Count == 0)
{
try //Позволяет декодировать граммемы, если число вместо слова
{
string[] g = Grammems;
if (word.StartsWith("f"))
{
word = word.Substring(1); g = Flags;
} //декодируем флаги
UInt64 gr = Convert.ToUInt64(word);
for (int i = g.Length - 1; i > -1; i--)
{
if (((1uL << i) & gr) > 0)
{
Console.Write(g[i] + ",");
}
}
Console.WriteLine("");
}
catch (Exception)
{
}
Console.WriteLine("Paradigms not found");
continue;
}
string ancodes = "";
for (var i = 0; i < paradigmList.Count; i++)
{
var paradigm = paradigmList[i];
Console.Write("Paradigm: ");
rmlPath = paradigm.SrcAncode;
Console.WriteLine(paradigm.Norm);
int k = paradigm.GetAccent(0);
k = paradigm.SrcAccentedVowel;
Console.Write("\tFounded: ");
Console.WriteLine(paradigm.Founded);
Console.Write("\tParadigmID: ");
Console.WriteLine(paradigm.ParadigmID);
Console.Write("\tAccentModelNo: ");
Console.WriteLine(paradigm.AccentModelNo);
Console.WriteLine("=====");
Console.WriteLine("$type_grm = " + (paradigm.TypeAncode == "??" ? "" : Regex.Match(rgt, "^" + paradigm.TypeAncode + "[^а-яА-яёЁ]*([^\r]*)", RegexOptions.Multiline).Groups[1].Value));
ancodes += paradigm.TypeAncode;
for (var j = 0; j < paradigm.Count; j++)
{
ancodes += paradigm.GetAncode(j);
Console.Write("\t\t");
Console.Write(paradigm.GetAccent(j) == 255 ? paradigm.GetForm(j) : paradigm.GetForm(j).Insert(paradigm.GetAccent(j) + 1, "'"));
Console.Write("\t");
Console.WriteLine(Regex.Match(rgt, "^" + paradigm.GetAncode(j) + "[^а-яА-яЕё]*(.*)", RegexOptions.Multiline).Groups[1].Value.Replace("\r", ""));
}
}
}
}
/// <summary>
/// this needs 32 bit version of project
/// You can change it in project properties
/// </summary>
public AOTLemmatizer()
{
lemmatizerRu = new LemmatizerRussian();
lemmatizerRu.LoadDictionariesRegistry();
}
