/// <summary>
/// Parses a probabilistic dictionary.
/// </summary>
/// <returns>
/// The dictionary in the following <c>Dictionary</c> format: "Source->Target->Probability".
/// </returns>
/// <param name='cde'>
/// MPAligner Configuration Dictionary Entry describing how to parse the dictionary.
/// </param>
public static Dictionary <string, Dictionary <string, double> > ParseDictionary(MPAlignerConfigurationDictEntry cde)
{
string fileName = cde.path;
Encoding enc = cde.encoding;
char[] sep = cde.separators.ToCharArray();
bool filterDictionary = cde.filterDictionary;
NumberFormatInfo nfi = cde.numberFormatInfo;
Dictionary <string, Dictionary <string, double> > res = new Dictionary <string, Dictionary <string, double> > ();
StreamReader sr = new StreamReader(fileName, enc);
//Read the dictionary file to the end.
while (!sr.EndOfStream)
{
string line = sr.ReadLine().Trim();
string[] data = line.Split(sep, StringSplitOptions.RemoveEmptyEntries);
//Apply valid entry filtering.
if (data.Length == 3 && (!filterDictionary || (IsValidPhrase(data [0]) && IsValidPhrase(data [1])))) //We ignore lines that do not have three constituents - source word/phrase, target word/phrase, probability.
{
try {
double prob = Convert.ToDouble(data [2], nfi);
//Apply threshold filtering.
if (prob >= cde.variantThreshold)
{
prob = cde.dictBf.Get(prob);
string src = data[0];
src = src.ToLower();
string trg = data[1];
trg = trg.ToLower();
//Apply stemming if required.
if (cde.stem)
{
src = LightweightStemmer.Stem(src, cde.srcLang);
trg = LightweightStemmer.Stem(trg, cde.trgLang);
}
//Add the entry to the Dictionary<string, double>.
if (!res.ContainsKey(src))
{
res.Add(src, new Dictionary <string, double> ());
}
if (!res [src].ContainsKey(trg))
{
res [src].Add(trg, prob);
}
}
} catch {
}
}
}
//Apply maximum translation hypothesis filtering.
//FilterTopEquivalents (cde, res);
sr.Close();
return(res);
}
public static Dictionary <string, bool> ParseStopwordList(MPAlignerConfigurationStopWordListEntry cswle)
{
string fileName = cswle.path;
Encoding enc = cswle.encoding;
Dictionary <string, bool> res = new Dictionary <string, bool> ();
StreamReader sr = new StreamReader(fileName, enc);
//Read the dictionary file to the end.
while (!sr.EndOfStream)
{
string line = sr.ReadLine().Trim();
if (cswle.stem)
{
line = LightweightStemmer.Stem(line, cswle.lang);
}
if (!res.ContainsKey(line))
{
res.Add(line, true);
}
}
return(res);
}
public static Dictionary <string, Dictionary <string, bool> > ParseExceptionDictionary(MPAlignerConfigurationExceptionEntry cee)
{
string fileName = cee.path;
Encoding enc = cee.encoding;
char[] sep = { '\t', ' ' };
Dictionary <string, Dictionary <string, bool> > res = new Dictionary <string, Dictionary <string, bool> > ();
StreamReader sr = new StreamReader(fileName, enc);
//Read the dictionary file to the end.
while (!sr.EndOfStream)
{
string line = sr.ReadLine().Trim();
string[] data = line.Split(sep, StringSplitOptions.RemoveEmptyEntries);
//Apply valid entry filtering.
if (data.Length >= 2) //We ignore lines that do not have two constituents - source word/phrase, target word/phrase.
{
string src = data[0].ToLower();
string trg = data[1].ToLower();
//Apply stemming if required.
if (cee.stem)
{
src = LightweightStemmer.Stem(src, cee.srcLang);
trg = LightweightStemmer.Stem(trg, cee.trgLang);
}
//Add the entry to the Dictionary<string, double>.
if (!res.ContainsKey(src))
{
res.Add(src, new Dictionary <string, bool> ());
}
if (!res [src].ContainsKey(trg))
{
res [src].Add(trg, true);
}
}
}
return(res);
}
public static List <ProcessedTermEntry> ProcessTermsList(List <string> terms, Dictionary <string, Dictionary <string, double> > srcToTrgDict, string lang, MPAlignerConfigurationTranslEntry translitEntry, string mosesPath, string tempFilePath, int threadCount = 1, bool stemWords = false)
{
List <ProcessedTermEntry> res = new List <ProcessedTermEntry>(1000);
Dictionary <string, int> lowercasedWordDict = new Dictionary <string, int>(1000);
if (terms != null)
{
string langKey = translitEntry != null?((translitEntry.srcLang != null?translitEntry.srcLang:"") + "_" + (translitEntry.trgLang != null?translitEntry.trgLang:"")):lang;
if (!translitTemp.ContainsKey(langKey))
{
translitTemp.Add(langKey, new Dictionary <string, List <StringProbabEntry> >());
}
foreach (string surfaceForm in terms)
{
string lowerCase = surfaceForm.ToLower();
ProcessedTermEntry pte = new ProcessedTermEntry();
pte.surfaceForm = surfaceForm;
pte.lowercaceForm = lowerCase;
pte.surfaceFormWords = new List <string>(whitespaceRegex.Split(surfaceForm));
string[] lowerCaseWordArr = whitespaceRegex.Split(lowerCase);
pte.lowercaseWords.InsertRange(0, lowerCaseWordArr);
foreach (string word in lowerCaseWordArr)
{
pte.len += word.Length;
if (!lowercasedWordDict.ContainsKey(word) && !translitTemp[langKey].ContainsKey(word))
{
lowercasedWordDict.Add(word, 0);
}
string stem = null;
if (stemWords)
{
stem = LightweightStemmer.Stem(word, lang);
}
//if (lang !="en")
//{
pte.simpleTransliteration.Add(SimpleCharacterTransliteration.Transliterate(word));
//}
//else
//{
// pte.simpleTransliteration = pte.lowercaseWords;
//}
if (srcToTrgDict != null)
{
List <StringProbabEntry> currList = new List <StringProbabEntry>();
if (stemWords)
{
if (srcToTrgDict.ContainsKey(stem))
{
foreach (string trgStem in srcToTrgDict[stem].Keys)
{
StringProbabEntry spe = new StringProbabEntry();
spe.str = trgStem;
spe.probab = srcToTrgDict[stem][trgStem];
currList.Add(spe);
}
}
}
else
{
if (srcToTrgDict.ContainsKey(word))
{
foreach (string trgWord in srcToTrgDict[word].Keys)
{
StringProbabEntry spe = new StringProbabEntry();
spe.str = trgWord;
spe.probab = srcToTrgDict[word][trgWord];
currList.Add(spe);
}
}
}
pte.translationList.Add(currList);
}
}
res.Add(pte);
}
Dictionary <string, List <StringProbabEntry> > translitDict = new Dictionary <string, List <StringProbabEntry> >();
//if (threadCount<2)
//{
translitDict = GetTransliterations(lowercasedWordDict, translitEntry, mosesPath, tempFilePath, threadCount);
//This is not nice, however necessary due to the multi-threaded execution - the temp list is not updated in the single-thread scenario
// Dictionary<string, List<StringProbabEntry>> tmp = new Dictionary<string, List<StringProbabEntry>>();
// CopyTranslits(translitDict,tmp, translitEntry);
//}
//else
//{
// translitDict = GetTransliterationsMultiThreaded(lowercasedWordDict,translitEntry, mosesPath, tempFilePath, threadCount);
//}
for (int i = 0; i < res.Count; i++)
{
foreach (string word in res[i].lowercaseWords)
{
if (translitDict.ContainsKey(word))
{
res[i].transliterationList.Add(translitDict[word]);
}
else if (translitTemp.ContainsKey(langKey) && translitTemp[langKey].ContainsKey(word))
{
res[i].transliterationList.Add(translitTemp[langKey][word]);
}
else
{
res[i].transliterationList.Add(new List <StringProbabEntry>());
}
}
}
//We add a simple data amount threshold in order not to overflow the memory ...
if (translitTemp[langKey].Count >= 50000)
{
translitTemp[langKey].Clear();
GC.Collect();
}
}
return(res);
}
public static Dictionary <string, ProcessedTermEntry> ProcessTerms(Dictionary <string, SimpleTermEntry> terms, Dictionary <string, Dictionary <string, double> > srcToTrgDict, string lang, MPAlignerConfigurationTranslEntry translitEntry, string mosesPath, string tempFilePath, int threadCount = 1, bool stemWords = false)
{
Dictionary <string, ProcessedTermEntry> res = new Dictionary <string, ProcessedTermEntry>(1000);
Dictionary <string, int> lowercasedWordDict = new Dictionary <string, int>(1000);
if (terms != null)
{
Log.Write("Starting pre-processing of " + terms.Count.ToString() + " " + lang + " terms.", LogLevelType.LIMITED_OUTPUT);
string langKey = translitEntry != null?((translitEntry.srcLang != null?translitEntry.srcLang:"") + "_" + (translitEntry.trgLang != null?translitEntry.trgLang:"")):lang;
if (!translitTemp.ContainsKey(langKey))
{
translitTemp.Add(langKey, new Dictionary <string, List <StringProbabEntry> >());
}
foreach (string lowerCase in terms.Keys)
{
string surfaceForm = terms[lowerCase].term;
if (!res.ContainsKey(lowerCase)) //TODO: Nothing to do, but be aware that here we allow only the first capitalization of a surface form ... we will ignore other capitalizations.
{
ProcessedTermEntry pte = new ProcessedTermEntry();
pte.surfaceForm = surfaceForm;
pte.concordance = !string.IsNullOrWhiteSpace(terms [lowerCase].conc) ? terms [lowerCase].conc : "";
pte.normMsdSeq = !string.IsNullOrWhiteSpace(terms [lowerCase].normMsdSeq) ? new List <string> (whitespaceRegex.Split(terms [lowerCase].normMsdSeq)) : new List <string> ();
pte.normSeq = !string.IsNullOrWhiteSpace(terms [lowerCase].normSeq) ? new List <string>(whitespaceRegex.Split(terms[lowerCase].normSeq)):new List <string>();
pte.lowercaceForm = lowerCase;
pte.surfaceFormWords = !string.IsNullOrWhiteSpace(surfaceForm) ? new List <string> (whitespaceRegex.Split(surfaceForm)) : new List <string> ();
string[] lowerCaseWordArr = !string.IsNullOrWhiteSpace(lowerCase) ? whitespaceRegex.Split(lowerCase) : null;
if (lowerCaseWordArr != null)
{
pte.lowercaseWords.InsertRange(0, lowerCaseWordArr);
}
if (!string.IsNullOrWhiteSpace(terms[lowerCase].lemmaSeq))
{
pte.lemmaSeq = new List <string>(whitespaceRegex.Split(terms[lowerCase].lemmaSeq));
}
else
{
pte.lemmaSeq = new List <string>();
for (int i = 0; i < pte.lowercaseWords.Count; i++)
{
pte.lemmaSeq.Add("");
}
}
if (!string.IsNullOrWhiteSpace(terms[lowerCase].msdSeq))
{
pte.msdSeq = new List <string>(whitespaceRegex.Split(terms[lowerCase].msdSeq));
}
else
{
pte.msdSeq = new List <string>();
for (int i = 0; i < pte.lowercaseWords.Count; i++)
{
pte.msdSeq.Add("");
}
}
foreach (string word in lowerCaseWordArr)
{
pte.len += word.Length;
if (!lowercasedWordDict.ContainsKey(word) && !translitTemp[langKey].ContainsKey(word))
{
lowercasedWordDict.Add(word, 0);
}
string stem = null;
if (stemWords)
{
stem = LightweightStemmer.Stem(word, lang);
}
//if (lang !="en")
//{
pte.simpleTransliteration.Add(SimpleCharacterTransliteration.Transliterate(word));
//}
//else
//{
// pte.simpleTransliteration = pte.lowercaseWords;
//}
if (srcToTrgDict != null)
{
List <StringProbabEntry> currList = new List <StringProbabEntry>();
if (stemWords)
{
if (srcToTrgDict.ContainsKey(stem))
{
foreach (string trgStem in srcToTrgDict[stem].Keys)
{
StringProbabEntry spe = new StringProbabEntry();
spe.str = trgStem;
spe.probab = srcToTrgDict[stem][trgStem];
currList.Add(spe);
}
}
}
else
{
if (srcToTrgDict.ContainsKey(word))
{
foreach (string trgWord in srcToTrgDict[word].Keys)
{
StringProbabEntry spe = new StringProbabEntry();
spe.str = trgWord;
spe.probab = srcToTrgDict[word][trgWord];
currList.Add(spe);
}
}
}
pte.translationList.Add(currList);
}
}
res.Add(lowerCase, pte);
}
}
Dictionary <string, List <StringProbabEntry> > translitDict = new Dictionary <string, List <StringProbabEntry> >();
//if (threadCount<2)
//{
translitDict = GetTransliterations(lowercasedWordDict, translitEntry, mosesPath, tempFilePath, threadCount);
//Dictionary<string, List<StringProbabEntry>> tmp = new Dictionary<string, List<StringProbabEntry>>();
//CopyTranslits(translitDict,tmp, translitEntry);
//}
//else
//{
// translitDict = GetTransliterationsMultiThreaded(lowercasedWordDict,translitEntry, mosesPath, tempFilePath, threadCount);
//}
foreach (string lowerCase in res.Keys)
{
foreach (string word in res[lowerCase].lowercaseWords)
{
if (translitDict.ContainsKey(word))
{
res[lowerCase].transliterationList.Add(translitDict[word]);
}
else if (translitTemp.ContainsKey(langKey) && translitTemp[langKey].ContainsKey(word))
{
res[lowerCase].transliterationList.Add(translitTemp[langKey][word]);
}
else
{
res[lowerCase].transliterationList.Add(new List <StringProbabEntry>());
}
}
}
//We add a simple data amount threshold in order not to overflow the memory ...
if (translitTemp[langKey].Count >= 25000)
{
translitTemp[langKey].Clear();
GC.Collect();
}
}
return(res);
}
