public NGramNode(bool isRootNode, MultipleFile multipleFile)
{
if (!isRootNode)
{
this._symbol = (TSymbol)Convert.ChangeType(multipleFile.ReadLine().Trim(), typeof(TSymbol));
}
var line = multipleFile.ReadLine();
var items = line.Split(" ");
this._count = int.Parse(items[0]);
this._probability = double.Parse(items[1]);
this._probabilityOfUnseen = double.Parse(items[2]);
var numberOfChildren = int.Parse(items[3]);
if (numberOfChildren > 0)
{
_children = new Dictionary <TSymbol, NGramNode <TSymbol> >();
for (var i = 0; i < numberOfChildren; i++)
{
var childNode = new NGramNode <TSymbol>(false, multipleFile);
_children.Add(childNode._symbol, childNode);
}
}
}
/**
* <summary>Constructor of {@link NGram} class which takes {@link Integer} size of ngram.</summary>
*
* <param name="n">size of ngram.</param>
*/
public NGram(int n)
{
this._n = n;
this._vocabulary = new HashSet <TSymbol>();
this._probabilityOfUnseen = new double[n];
rootNode = new NGramNode <TSymbol>(default(TSymbol));
}
/**
* <summary>Adds count times NGram given as array of symbols to the node as a child.</summary>
*
* <param name="sentence"> array of symbols</param>
* <param name="index"> start index of NGram</param>
* <param name="height">height for NGram. if height = 1, If level = 1, N-Gram is treated as UniGram, if level = 2,</param>
* N-Gram is treated as Bigram, etc.
* <param name="count"> Number of times this NGram is added.</param>
*/
public void AddNGram(TSymbol[] sentence, int index, int height, int count = 1)
{
NGramNode <TSymbol> child;
if (height == 0)
{
return;
}
var s = sentence[index];
if (_children != null && _children.ContainsKey(s))
{
child = _children[s];
}
else
{
child = new NGramNode <TSymbol>(s);
if (_children == null)
{
_children = new Dictionary <TSymbol, NGramNode <TSymbol> >();
}
_children.Add(s, child);
}
child._count += count;
child.AddNGram(sentence, index + 1, height - 1, count);
}
public NGram(params string[] fileNameList)
{
var multipleFile = new MultipleFile(fileNameList);
ReadHeader(multipleFile.GetStreamReader());
rootNode = new NGramNode <TSymbol>(true, multipleFile);
multipleFile.Close();
}
/**
* <summary>Constructor of {@link NGram} class which takes filename to read from text file.</summary>
*
* <param name="fileName">name of the text file where NGram is saved.</param>
*/
public NGram(string fileName)
{
var br = new StreamReader(fileName);
ReadHeader(br);
rootNode = new NGramNode <TSymbol>(true, br);
br.Close();
}
/**
* <summary>Constructor of {@link NGram} class which takes a {@link ArrayList} corpus and {@link Integer} size of ngram as input.
* It adds all sentences of corpus as ngrams.</summary>
*
* <param name="corpus">{@link ArrayList} list of sentences whose ngrams are added.</param>
* <param name="n">size of ngram.</param>
*/
public NGram(List <List <TSymbol> > corpus, int n)
{
int i;
this._n = n;
this._vocabulary = new HashSet <TSymbol>();
_probabilityOfUnseen = new double[n];
rootNode = new NGramNode <TSymbol>(default(TSymbol));
for (i = 0; i < corpus.Count; i++)
{
AddNGramSentence(corpus[i].ToArray());
}
}
/**
* <summary>Replace words not in given dictionary.
* Deletes unknown words from children nodes and adds them to {@link NGramNode#unknown} unknown node as children recursively.</summary>
*
* <param name="dictionary">dictionary of known words.</param>
*/
public void ReplaceUnknownWords(HashSet <TSymbol> dictionary)
{
if (_children != null)
{
var childList = new List <NGramNode <TSymbol> >();
foreach (var s in _children.Keys)
{
if (!dictionary.Contains(s))
{
childList.Add(_children[s]);
}
}
if (childList.Count > 0)
{
_unknown = new NGramNode <TSymbol>(default(TSymbol));
_unknown._children = new Dictionary <TSymbol, NGramNode <TSymbol> >();
var sum = 0;
foreach (var child in childList)
{
if (child._children != null)
{
foreach (var(key, value) in child._children)
{
_unknown._children.Add(key, value);
}
}
sum += child._count;
_children.Remove(child._symbol);
}
_unknown._count = sum;
_unknown.ReplaceUnknownWords(dictionary);
}
foreach (var child in _children.Values)
{
child.ReplaceUnknownWords(dictionary);
}
}
}
public void Merge(NGramNode <TSymbol> toBeMerged)
{
if (_children != null)
{
foreach (TSymbol symbol in _children.Keys)
{
if (toBeMerged._children.ContainsKey(symbol))
{
_children[symbol].Merge(toBeMerged._children[symbol]);
}
}
foreach (TSymbol symbol in toBeMerged._children.Keys)
{
if (!_children.ContainsKey(symbol))
{
_children[symbol] = toBeMerged._children[symbol];
}
}
}
_count += toBeMerged.GetCount();
}
public void Prune(double threshold, int N)
{
if (N == 0)
{
TSymbol maxElement = default;
NGramNode <TSymbol> maxNode = null;
var toBeDeleted = new List <TSymbol>();
foreach (var symbol in _children.Keys)
{
if (_children[symbol]._count / (_count + 0.0) < threshold)
{
toBeDeleted.Add(symbol);
}
if (maxNode == null || _children[symbol]._count > _children[maxElement]._count)
{
maxElement = symbol;
maxNode = _children[symbol];
}
}
foreach (var symbol in toBeDeleted)
{
_children.Remove(symbol);
}
if (_children.Count == 0)
{
_children[maxElement] = maxNode;
}
}
else
{
foreach (var node in _children.Values)
{
node.Prune(threshold, N - 1);
}
}
}