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Tokenizer.vb
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Imports System.IO
Imports System.Runtime.CompilerServices
Imports System.Runtime.Serialization.Formatters.Binary
Imports System.Text.RegularExpressions
Imports SpydazWebAI.Token
Imports SpydazWebAI.TokenizerModels.BaseModels
Imports SpydazWebAI.TokenizerModels.BertModels.Base
Namespace TokenizerModels
Namespace BaseModels
Public MustInherit Class iTokenizer
Public _vocabularyDict As Dictionary(Of String, Integer)
Private ivocab As New List(Of String)
Public Property _vocabulary As List(Of String)
Get
Return getTokenlist(_vocabularyDict)
End Get
Set(value As List(Of String))
ivocab = value
End Set
End Property
Public Shared Function CalculatePairFrequency(vocabulary As Dictionary(Of String, Integer), subword1 As String, subword2 As String) As Integer
Dim pairFrequency As Integer = 0
For Each word As String In vocabulary.Keys
Dim mergedWord As String = word.Replace(subword1 + subword2, subword1 + subword2.ToLower())
Dim occurrences As Integer = 0
Dim index As Integer = -1
While True
index = mergedWord.IndexOf(subword1 + subword2.ToLower(), index + 1)
If index = -1 Then
Exit While
End If
occurrences += 1
End While
pairFrequency += occurrences * vocabulary(word)
Next
Return pairFrequency
End Function
Public Shared Function FindMostFrequentPair(vocabulary As Dictionary(Of String, Integer)) As SubWord_Pair
Dim mostFrequentPair As SubWord_Pair = Nothing
Dim maxFrequency As Integer = 0
For Each subword1 As String In vocabulary.Keys
For Each subword2 As String In vocabulary.Keys
If subword1 <> subword2 Then
Dim pairFrequency As Integer = CalculatePairFrequency(vocabulary, subword1, subword2)
If pairFrequency > maxFrequency Then
maxFrequency = pairFrequency
mostFrequentPair = New SubWord_Pair(subword1, subword2, pairFrequency)
End If
End If
Next
Next
Return mostFrequentPair
End Function
Public Shared Function MergeSubwordPair(vocabulary As Dictionary(Of String, Integer), pairToMerge As SubWord_Pair, newSubword As String) As Dictionary(Of String, Integer)
Dim newVocabulary As New Dictionary(Of String, Integer)
For Each subword As String In vocabulary.Keys
Dim mergedSubword As String = subword.Replace(pairToMerge.Sub_word_1 + pairToMerge.Sub_Word_2, newSubword)
newVocabulary(mergedSubword) = vocabulary(subword)
Next
Return newVocabulary
End Function
Public Shared Function ReadFile(filePath As String) As List(Of String)
Dim linesArray As String() = File.ReadAllLines(filePath)
Dim linesList As List(Of String) = linesArray.ToList()
Return linesList
End Function
Public Shared Function UpdateVocabulary(vocabulary As Dictionary(Of String, Integer), Term As String) As Dictionary(Of String, Integer)
If vocabulary(Term) > 0 Then
Dim Freq As Integer = vocabulary(Term)
Freq += 1
vocabulary.Remove(Term)
vocabulary.Add(Term, Freq)
Else
vocabulary.Add(Term, 1)
End If
Return vocabulary
End Function
Public Function getTokenlist(Vocab As Dictionary(Of String, Integer)) As List(Of String)
Dim Tokens As New List(Of String)
For Each item In Vocab
Tokens.Add(item.Key)
Next
Return Tokens
End Function
Public Function IdToToken(ByVal id As Integer) As String
Return _vocabulary(id)
End Function
Public Sub UpdateVocabulary(ByRef Term As String)
If _vocabularyDict.Keys.Contains(Term) = True Then
Dim value = _vocabularyDict(Term)
value += 1
_vocabularyDict.Remove(Term)
_vocabularyDict.Add(Term, value)
Else
_vocabularyDict.Add(Term, 1)
End If
End Sub
End Class
''' <summary>
''' Basic Tokenizer Model USed for Creating sub model Tokenizers
''' </summary>
Public MustInherit Class Tokenizer
Inherits TokenizerBase
Public MustOverride Function Tokenize(text As String) As List(Of String)
Public MustOverride Sub Train(ByRef Corpus As List(Of String))
End Class
''' <summary>
''' a basic tokenizer ; with quick tokenizer functionality
''' </summary>
Public MustInherit Class TokenizerBase
Inherits iTokenizer
Public Shared Function CharGram(Document As String, n As Integer) As List(Of String)
CharGram = New List(Of String)
Document = Document.ToLower()
Document = Document.SpacePunctuation
' Generate character n-grams
For i As Integer = 0 To Document.Length - n
Dim ngram As String = Document.Substring(i, n)
CharGram.Add(ngram)
Next
End Function
Public Shared Function ParagraphGram(text As String, n As Integer) As List(Of String)
ParagraphGram = New List(Of String)
' Split the text into paragraphs
Dim paragraphs() As String = text.Split({Environment.NewLine & Environment.NewLine}, StringSplitOptions.RemoveEmptyEntries)
' Generate paragraph n-grams
For i As Integer = 0 To paragraphs.Length - n
Dim ngram As String = String.Join(Environment.NewLine & Environment.NewLine, paragraphs.Skip(i).Take(n))
ParagraphGram.Add(ngram)
Next
Return ParagraphGram
End Function
Public Shared Function SentenceGram(text As String, n As Integer) As List(Of String)
Dim tokens As New List(Of String)
' Split the text into Clauses
Dim Clauses() As String = text.Split({".", ",", ";", ":", "!", "?"}, StringSplitOptions.RemoveEmptyEntries)
' Generate sentence n-grams
For i As Integer = 0 To Clauses.Length - n
Dim ngram As String = String.Join(" ", Clauses.Skip(i).Take(n))
tokens.Add(ngram)
Next
Return tokens
End Function
Public Shared Function TokenizeToCharacter(Document As String) As List(Of String)
Document = Document.ToLower()
Dim characters As Char() = Document.ToCharArray()
TokenizeToCharacter = New List(Of String)
For Each item In characters
TokenizeToCharacter.Add(item)
Next
End Function
Public Shared Function TokenizeToParagraph(Document As String) As List(Of String)
Document = Document.ToLower()
Return Split(Document, vbNewLine).ToList
End Function
Public Shared Function TokenizeToSentence(Document As String) As List(Of String)
Document = Document.ToLower()
Document = Document.SpacePunctuation
Return Split(Document, ".").ToList
End Function
Public Shared Function TokenizeToWord(Document As String) As List(Of String)
Document = Document.ToLower()
Document = Document.SpacePunctuation
Return Document.Split({" ", ".", ",", ";", ":", "!", "?"}, StringSplitOptions.RemoveEmptyEntries).ToList
End Function
Public Shared Function WordGram(ByRef text As String, n As Integer) As List(Of String)
WordGram = New List(Of String)
text = text.ToLower()
text = text.SpacePunctuation
' Split the clean text into individual words
Dim words() As String = text.Split({" ", ".", ",", ";", ":", "!", "?"}, StringSplitOptions.RemoveEmptyEntries)
' Generate n-grams from the words
For i As Integer = 0 To words.Length - n
Dim ngram As String = String.Join(" ", words.Skip(i).Take(n))
WordGram.Add(ngram)
Next
End Function
End Class
End Namespace
Namespace BertModels
Namespace Base
''' <summary>
''' Base Tokenizer for bert Styled tokenization ;
''' This is the base model for The bert tokenizers
''' </summary>
Public MustInherit Class Bert_Base
Inherits iTokenizer
''' <summary>
''' Initiate With a Pre-trained Text File
''' </summary>
''' <param name="vocabularyFilePath"></param>
Public Sub New(ByVal vocabularyFilePath As String)
_vocabulary = ReadFile(vocabularyFilePath)
_vocabularyDict = New Dictionary(Of String, Integer)()
For i = 0 To _vocabulary.Count - 1
_vocabularyDict(_vocabulary(i)) = i
Next
End Sub
''' <summary>
''' Initiate with a pretrained Vocabulary list
''' </summary>
''' <param name="vocabulary"></param>
Public Sub New(Optional vocabulary As List(Of String) = Nothing)
If vocabulary Is Nothing Then
_vocabulary = New List(Of String)
End If
_vocabulary = vocabulary
_vocabularyDict = New Dictionary(Of String, Integer)()
For i = 0 To _vocabulary.Count - 1
_vocabularyDict(_vocabulary(i)) = i
Next
End Sub
''' <summary>
''' Load a Pre-Trained model, (ie Vocabulary)
''' </summary>
''' <param name="Pretrained"></param>
Protected Sub New(Pretrained As BertModel)
Select Case Pretrained
Case BertModel.Cased
ResourceExtractor.ExtractResourceToFile(My.Resources.base_cased, Application.StartupPath & "\Vocabularies\Tokenizer_base_cased.txt")
_vocabulary = ReadFile(Application.StartupPath & "\Vocabularies\Tokenizer_base_cased.txt")
_vocabularyDict = New Dictionary(Of String, Integer)()
For i = 0 To _vocabulary.Count - 1
_vocabularyDict(_vocabulary(i)) = i
Next
Case BertModel.CasedCustom
ResourceExtractor.ExtractResourceToFile(My.Resources.base_cased_large, Application.StartupPath & "\Vocabularies\Tokenizer_base_cased.txt")
_vocabulary = ReadFile(Application.StartupPath & "\Vocabularies\Tokenizer_base_cased_large.txt")
_vocabularyDict = New Dictionary(Of String, Integer)()
For i = 0 To _vocabulary.Count - 1
_vocabularyDict(_vocabulary(i)) = i
Next
Case BertModel.German
ResourceExtractor.ExtractResourceToFile(My.Resources.base_cased_german, Application.StartupPath & "\Vocabularies\Tokenizer_base_cased.txt")
_vocabulary = ReadFile(Application.StartupPath & "\Vocabularies\Tokenizer_base_cased_german.txt")
_vocabularyDict = New Dictionary(Of String, Integer)()
For i = 0 To _vocabulary.Count - 1
_vocabularyDict(_vocabulary(i)) = i
Next
Case BertModel.CasedLarge
ResourceExtractor.ExtractResourceToFile(My.Resources.base_cased_large, Application.StartupPath & "\Vocabularies\Tokenizer_base_cased.txt")
_vocabulary = ReadFile(Application.StartupPath & "\Vocabularies\Tokenizer_base_cased_large.txt")
_vocabularyDict = New Dictionary(Of String, Integer)()
For i = 0 To _vocabulary.Count - 1
_vocabularyDict(_vocabulary(i)) = i
Next
Case BertModel.Multilingual
ResourceExtractor.ExtractResourceToFile(My.Resources.base_cased_multilingual, Application.StartupPath & "\Vocabularies\Tokenizer_base_cased.txt")
_vocabulary = ReadFile(Application.StartupPath & "\Vocabularies\Tokenizer_base_cased_multilingual.txt")
_vocabularyDict = New Dictionary(Of String, Integer)()
For i = 0 To _vocabulary.Count - 1
_vocabularyDict(_vocabulary(i)) = i
Next
Case BertModel.UnCased
ResourceExtractor.ExtractResourceToFile(My.Resources.base_uncased, Application.StartupPath & "\Vocabularies\Tokenizer_base_cased.txt")
_vocabulary = ReadFile(Application.StartupPath & "\Vocabularies\Tokenizer_base_uncased.txt")
_vocabularyDict = New Dictionary(Of String, Integer)()
For i = 0 To _vocabulary.Count - 1
_vocabularyDict(_vocabulary(i)) = i
Next
Case BertModel.UnCasedCustom
ResourceExtractor.ExtractResourceToFile(My.Resources.base_uncased_large, Application.StartupPath & "\Vocabularies\Tokenizer_base_cased.txt")
_vocabulary = ReadFile(Application.StartupPath & "\Vocabularies\Tokenizer_base_uncased_large.txt")
_vocabularyDict = New Dictionary(Of String, Integer)()
For i = 0 To _vocabulary.Count - 1
_vocabularyDict(_vocabulary(i)) = i
Next
Case BertModel.UncasedLarge
ResourceExtractor.ExtractResourceToFile(My.Resources.base_uncased_large, Application.StartupPath & "\Vocabularies\Tokenizer_base_cased.txt")
_vocabulary = ReadFile(Application.StartupPath & "\Vocabularies\Tokenizer_base_uncased_large.txt")
_vocabularyDict = New Dictionary(Of String, Integer)()
For i = 0 To _vocabulary.Count - 1
_vocabularyDict(_vocabulary(i)) = i
Next
End Select
End Sub
Public Enum BertModel
Cased
CasedCustom
CasedLarge
UnCased
UnCasedCustom
UncasedLarge
Multilingual
German
End Enum
Public Function Encode(ByVal sequenceLength As Integer, ParamArray texts As String()) As List(Of (Long, Long, Long))
Dim tokens = Tokenize(texts)
Dim paddingCount As Integer = Math.Max(0, sequenceLength - tokens.Count)
Dim paddingTokens As List(Of (Integer, Integer)) = Enumerable.Repeat((0, 0), paddingCount).ToList()
Dim tokenIndexes As Long() = tokens.[Select](Function(token) CLng(token.Item2)).Concat(paddingTokens.[Select](Function(t) CLng(t.Item1))).ToArray()
Dim segmentIndexes As Long() = tokens.[Select](Function(token) CLng(token.Item3)).Concat(paddingTokens.[Select](Function(t) CLng(t.Item2))).ToArray()
Dim inputMask As Long() = tokens.[Select](Function(o) 1L).Concat(paddingTokens.[Select](Function(t) 0L)).ToArray()
Dim output = tokenIndexes.Zip(segmentIndexes, New Func(Of Long, Long, (Long, Long))(AddressOf ValueTuple.Create)).Zip(inputMask, Function(t, mask) (t.Item1, t.Item2, mask))
Return output.ToList()
End Function
''' <summary>
''' Provides tokenized embeddings based on bert model
''' </summary>
''' <param name="texts"></param>
''' <returns></returns>
Public Function Tokenize(ParamArray texts As String()) As List(Of (String, Integer, Long))
Dim tokens As IEnumerable(Of String) = New String() {Bert.Tokens.Classification}
For Each iTEXT In texts
tokens = tokens.Concat(Me.TokenizeSentence(iTEXT))
tokens = tokens.Concat(New String() {Bert.Tokens.Separation})
Next
Dim tokenAndIndex = tokens.SelectMany(New Func(Of String, IEnumerable(Of (Token As String, VocabularyIndex As Integer)))(AddressOf TokenizeSubwords)).ToList()
Dim segmentIndexes = SegmentIndex(tokenAndIndex)
Return tokenAndIndex.Zip(segmentIndexes, Function(tokenindex, segmentindex) (tokenindex.Token, tokenindex.VocabularyIndex, segmentindex)).ToList()
End Function
''' <summary>
''' Reconstructs input based on tokens provided
''' </summary>
''' <param name="tokens"></param>
''' <returns></returns>
Public Function Untokenize(ByVal tokens As List(Of String)) As List(Of String)
Dim currentToken = String.Empty
Dim untokens = New List(Of String)()
tokens.Reverse()
tokens.ForEach(Sub(token)
If token.StartsWith("##") Then
currentToken = token.Replace("##", "") & currentToken
Else
currentToken = token & currentToken
untokens.Add(currentToken)
currentToken = String.Empty
End If
End Sub)
untokens.Reverse()
Return untokens
End Function
''' <summary>
''' To be overidden by Main Submodel MEthods , Such as Lowercased or Uncased
''' </summary>
''' <param name="text"></param>
''' <returns></returns>
Protected MustOverride Function TokenizeSentence(ByVal text As String) As IEnumerable(Of String)
Private Function SegmentIndex(ByVal tokens As List(Of (String, Integer))) As IEnumerable(Of Long)
Dim lSegmentIndex = 0
Dim segmentIndexes = New List(Of Long)()
For Each tokenIndex In tokens
Dim token = tokenIndex.Item1
Dim index = tokenIndex.Item2
segmentIndexes.Add(lSegmentIndex)
If Equals(token, Bert.Tokens.Separation) Then
lSegmentIndex += 1
End If
Next
Return segmentIndexes
End Function
''' <summary>
''' SubWord Tokenizer
''' </summary>
''' <param name="word"></param>
''' <returns></returns>
Private Function TokenizeSubwords(ByVal word As String) As IEnumerable(Of (String, Integer))
If _vocabularyDict.ContainsKey(word) Then
Return New(String, Integer)() {(word, _vocabularyDict(word))}
End If
Dim tokens = New List(Of (String, Integer))()
Dim remaining = word
While Not String.IsNullOrEmpty(remaining) AndAlso remaining.Length > 2
Dim prefix As String = Nothing
Dim subwordLength = remaining.Length
While subwordLength >= 1 ' was initially 2, which prevents using "character encoding"
Dim subword = remaining.Substring(0, subwordLength)
If Not _vocabularyDict.ContainsKey(subword) Then
subwordLength -= 1
Continue While
End If
prefix = subword
Exit While
End While
If Equals(prefix, Nothing) Then
tokens.Add((Bert.Tokens.Unknown, _vocabularyDict(Bert.Tokens.Unknown)))
Return tokens
End If
Dim regex = New Regex(prefix)
remaining = regex.Replace(remaining, "##", 1)
tokens.Add((prefix, _vocabularyDict(prefix)))
End While
If Not String.IsNullOrWhiteSpace(word) AndAlso Not tokens.Any() Then
tokens.Add((Bert.Tokens.Unknown, _vocabularyDict(Bert.Tokens.Unknown)))
End If
Return tokens
End Function
End Class
''' <summary>
''' Lower Cased Vocabulary
''' </summary>
Public MustInherit Class CasedTokenizer
Inherits Bert_Base
Public Sub New(ByRef Model As BertModel)
MyBase.New(Model)
End Sub
''' <summary>
''' Implments Lower cased tokenization
''' </summary>
''' <param name="text"></param>
''' <returns></returns>
Protected Overrides Function TokenizeSentence(ByVal text As String) As IEnumerable(Of String)
Return text.Split(New String() {" ", " ", vbCrLf}, StringSplitOptions.None).SelectMany(Function(o) o.SplitAndKeep(".,;:\/?!#$%()=+-*""'–_`<>&^@{}[]|~'".ToArray())).[Select](Function(o) o.ToLower())
End Function
End Class
''' <summary>
''' as is tokenizer
''' </summary>
Public MustInherit Class UncasedTokenizer
Inherits Bert_Base
''' <summary>
''' Which Subtokenizer Pretrained . Will be uncased is case inn sensitive
''' </summary>
''' <param name="Model"></param>
Public Sub New(ByRef Model As BertModel)
MyBase.New(Model)
End Sub
''' <summary>
''' Implements uncased tokenizations dictionary
''' </summary>
''' <param name="text"></param>
''' <returns></returns>
Protected Overrides Function TokenizeSentence(ByVal text As String) As IEnumerable(Of String)
Return text.Split(New String() {" ", " ", vbCrLf}, StringSplitOptions.None).SelectMany(Function(o) o.SplitAndKeep(".,;:\/?!#$%()=+-*""'–_`<>&^@{}[]|~'".ToArray()))
End Function
End Class
End Namespace
Public Class Bert
''' <summary>
''' Used as input to bert llms
''' </summary>
Public Class ModelInput
Public AttentionMask As List(Of Integer)
Public InputIds As List(Of Double)
Public TypeIds As List(Of Integer)
End Class
Public Class Tokens
Public Const Classification As String = "[CLS]"
Public Const Mask As String = "[MASK]"
Public Const Padding As String = ""
Public Const Separation As String = "[SEP]"
Public Const Unknown As String = "[UNK]"
End Class
End Class
''' <summary>
''' For customized Vocabulary files
''' </summary>
Public Class BertCasedCustomVocabulary
Inherits CasedTokenizer
Public Sub New(ByVal vocabularyFilePath As String)
MyBase.New(vocabularyFilePath)
End Sub
End Class
''' <summary>
''' Large Vocab
''' </summary>
Public Class BertCasedLargeTokenizer
Inherits CasedTokenizer
Public Sub New()
MyBase.New(BertModel.CasedLarge)
End Sub
End Class
Public Class BertGermanTokenizer
Inherits CasedTokenizer
Public Sub New()
MyBase.New(BertModel.German)
End Sub
End Class
''' <summary>
''' MultiLingual Vocabulary
''' </summary>
Public Class BertMultilingualTokenizer
Inherits CasedTokenizer
Public Sub New()
MyBase.New(BertModel.Multilingual)
End Sub
End Class
''' <summary>
''' For customized Vocabulary files
''' </summary>
Public Class BertUnCasedCustomVocabulary
Inherits UncasedTokenizer
''' <summary>
''' Custom Vocab
''' </summary>
''' <param name="vocabularyFilePath"></param>
Public Sub New(ByVal vocabularyFilePath As String)
MyBase.New(vocabularyFilePath)
End Sub
End Class
''' <summary>
''' Large Vocab
''' </summary>
Public Class BertUncasedLargeTokenizer
Inherits UncasedTokenizer
Public Sub New()
MyBase.New(BertModel.UncasedLarge)
End Sub
End Class
End Namespace
<Serializable>
Public Class LegacyTokenizer
Inherits HybridTokenizer
Private Shared ReadOnly AlphaBet() As String = {"A", "B", "C", "D", "E", "F", "G", "H", "I", "J", "K", "L", "M", "N",
"O", "P", "Q", "R", "S", "T", "U", "V", "W", "X", "Y", "Z", "a", "b", "c", "d", "e", "f", "g", "h", "i", "j", "k", "l", "m", "n",
"o", "p", "q", "r", "s", "t", "u", "v", "w", "x", "y", "z"}
Private Shared ReadOnly Number() As String = {"1", "2", "3", "4", "5", "6", "7", "8", "9", "0", "11", "12", "13", "14", "15", "16", "17", "18", "19", "20",
"30", "40", "50", "60", "70", "80", "90", "00", "000", "0000", "00000", "000000", "one", "two", "three", "four", "five", "six", "seven", "eight", "nine", "ten", "eleven", "twelve", "thirteen", "fourteen", "fifteen", "sixteen", "seventeen", "eighteen",
"nineteen", "twenty", "thirty", "forty", "fifty", "sixty", "seventy", "eighty", "ninety", "hundred", "thousand", "million", "Billion"}
Public Shared Function GetTokenType(ByRef CharStr As String) As TokenType
For Each item In PunctuationMarkers.SeperatorPunctuation
If CharStr = item Then Return TokenType.SeperatorPunctuation
Next
For Each item In PunctuationMarkers.GramaticalPunctuation
If CharStr = item Then Return TokenType.GramaticalPunctuation
Next
For Each item In PunctuationMarkers.EncapuslationPunctuationStart
If CharStr = item Then Return TokenType.EncapuslationPunctuationStart
Next
For Each item In PunctuationMarkers.EncapuslationPunctuationEnd
If CharStr = item Then Return TokenType.EncapuslationPunctuationEnd
Next
For Each item In PunctuationMarkers.MoneyPunctuation
If CharStr = item Then Return TokenType.MoneyPunctuation
Next
For Each item In PunctuationMarkers.MathPunctuation
If CharStr = item Then Return TokenType.MathPunctuation
Next
For Each item In PunctuationMarkers.CodePunctuation
If CharStr = item Then Return TokenType.CodePunctuation
Next
For Each item In AlphaBet
If CharStr = item Then Return TokenType.AlphaBet
Next
For Each item In Number
If CharStr = item Then Return TokenType.Number
Next
Return TokenType.Ignore
End Function
Public Shared Function GetValidTokens(ByRef InputStr As String) As String
Dim EndStr As Integer = InputStr.Length
Dim CharStr As String = ""
For i = 0 To EndStr - 1
If GetTokenType(InputStr(i)) <> TokenType.Ignore Then
CharStr = AddSuffix(CharStr, InputStr(i))
Else
End If
Next
Return CharStr
End Function
''' <summary>
''' Returns Tokens With Positions
''' </summary>
''' <param name="input"></param>
''' <returns></returns>
Public Shared Function TokenizeByCharacter(ByVal input As String) As List(Of Token)
Dim characters As Char() = input.ToCharArray()
Dim tokens As New List(Of Token)
Dim currentPosition As Integer = 0
For Each character As Char In characters
Dim startPosition As Integer = currentPosition
Dim endPosition As Integer = currentPosition
Dim token As New Token(TokenType.Character, character.ToString(), startPosition, endPosition)
tokens.Add(token)
currentPosition += 1
Next
Return tokens
End Function
''' <summary>
''' Returns Tokens With Positions
''' </summary>
''' <param name="input"></param>
''' <returns></returns>
Public Shared Function TokenizeBySentence(ByVal input As String) As List(Of Token)
Dim sentences As String() = input.Split("."c)
Dim tokens As New List(Of Token)
Dim currentPosition As Integer = 0
For Each sentence As String In sentences
Dim startPosition As Integer = currentPosition
Dim endPosition As Integer = currentPosition + sentence.Length - 1
Dim token As New Token(TokenType.Sentence, sentence, startPosition, endPosition)
tokens.Add(token)
currentPosition = endPosition + 2 ' Account for the period and the space after the sentence
Next
Return tokens
End Function
''' <summary>
''' Returns Tokens With Positions
''' </summary>
''' <param name="input"></param>
''' <returns></returns>
Public Shared Function TokenizeByWord(ByVal input As String) As List(Of Token)
Dim words As String() = input.Split(" "c)
Dim tokens As New List(Of Token)
Dim currentPosition As Integer = 0
For Each word As String In words
Dim startPosition As Integer = currentPosition
Dim endPosition As Integer = currentPosition + word.Length - 1
Dim token As New Token(TokenType.Word, word, startPosition, endPosition)
tokens.Add(token)
currentPosition = endPosition + 2 ' Account for the space between words
Next
Return tokens
End Function
Public Function ContainsEncapsulated(ByRef Userinput As String) As Boolean
Dim Start = False
Dim Ending = False
ContainsEncapsulated = False
For Each item In PunctuationMarkers.EncapuslationPunctuationStart
If Userinput.Contains(item) = True Then Start = True
Next
For Each item In PunctuationMarkers.EncapuslationPunctuationEnd
If Userinput.Contains(item) = True Then Ending = True
Next
If Start And Ending = True Then
ContainsEncapsulated = True
End If
End Function
Public Function ExtractEncapsulated(ByRef Userinput As String) As String
ExtractEncapsulated = Userinput
If ContainsEncapsulated(ExtractEncapsulated) = True Then
If ExtractEncapsulated.Contains("(") = True And ExtractEncapsulated.Contains(")") = True Then
ExtractEncapsulated = ExtractEncapsulated.ExtractStringBetween("(", ")")
End If
If Userinput.Contains("[") = True And Userinput.Contains("]") = True Then
ExtractEncapsulated = ExtractEncapsulated.ExtractStringBetween("[", "]")
End If
If Userinput.Contains("{") = True And Userinput.Contains("}") = True Then
ExtractEncapsulated = ExtractEncapsulated.ExtractStringBetween("{", "}")
End If
If Userinput.Contains("<") = True And Userinput.Contains(">") = True Then
ExtractEncapsulated = ExtractEncapsulated.ExtractStringBetween("<", ">")
End If
End If
End Function
Public Function GetEncapsulated(ByRef Userinput As String) As List(Of String)
GetEncapsulated = New List(Of String)
Do Until ContainsEncapsulated(Userinput) = False
GetEncapsulated.Add(ExtractEncapsulated(Userinput))
Loop
End Function
''' <summary>
''' Pure basic Tokenizer to Tokens
''' </summary>
''' <param name="Corpus"></param>
''' <param name="tokenizationOption">Type Of Tokenization</param>
''' <returns></returns>
Public Function Tokenize(ByRef Corpus As List(Of String), tokenizationOption As TokenizerType) As List(Of Token)
Dim ivocabulary As New List(Of Token)
For Each Doc In Corpus
Select Case tokenizationOption
Case TokenizerType._Char
ivocabulary.AddRange(TokenizeByCharacter(Doc.ToLower))
Case TokenizerType._Word
ivocabulary.AddRange(TokenizeByWord(Doc.ToLower))
Case TokenizerType._Sentence
ivocabulary.AddRange(TokenizeBySentence(Doc.ToLower))
End Select
Next
Return ivocabulary
End Function
Private Shared Function AddSuffix(ByRef Str As String, ByVal Suffix As String) As String
Return Str & Suffix
End Function
End Class
Public Class BytePairEncoding
Inherits Tokenizer
Public MaxMergeOperations As Integer = 1000
Public Overloads Function Tokenize(Corpus As List(Of String)) As List(Of String)
Dim tokens As New List(Of String)
Dim Subword As String = ""
Dim UnknownDocs As New List(Of String)
'SubDoc Vocabulary Tokenizer
For Each doc In Corpus
For i = 0 To doc.Count - 1
Subword &= doc(i)
If _vocabularyDict.ContainsKey(Subword.ToLower()) Then
tokens.Add(Subword)
Subword = ""
End If
Next
'Save unknowns
If Subword <> "" Then
UnknownDocs.Add(Subword)
End If
Next
'Unknown paragraphs
Dim UnknownParagraphs As New List(Of String)
If UnknownDocs.Count > 0 Then
For Each doc In UnknownDocs
Dim Para As List(Of String) = TokenizeToParagraph(doc)
For Each item In Para
Subword = ""
Subword += item
If _vocabularyDict.ContainsKey(Subword.ToLower) Then
' If the subword is in the Vocabulary, add it to the list of subwords
tokens.Add(Subword.ToLower)
' Reset the subword for the next iteration
Subword = ""
End If
'Save unknowns
If Subword <> "" Then
UnknownParagraphs.Add(Subword)
End If
Next
Next
End If
'Unknown Sentences
Dim UnknownSents As New List(Of String)
If UnknownParagraphs.Count > 0 Then
For Each sent In UnknownParagraphs
Dim Sents As List(Of String) = TokenizeToSentence(sent)
For Each item In Sents
Subword = ""
Subword += item
If _vocabularyDict.ContainsKey(Subword.ToLower) Then
' If the subword is in the Vocabulary, add it to the list of subwords
tokens.Add(Subword.ToLower)
' Reset the subword for the next iteration
Subword = ""
End If
'Save unknowns
If Subword <> "" Then
UnknownSents.Add(Subword)
End If
Next
Next
End If
'Unknown Words
Dim UnknownWords As New List(Of String)
If UnknownSents.Count > 0 Then
For Each Word In UnknownSents
Dim Words As List(Of String) = TokenizeToWord(Word)
For Each item In Words
Subword = ""
Subword += item
If _vocabularyDict.ContainsKey(Subword.ToLower) Then
' If the subword is in the Vocabulary, add it to the list of subwords
tokens.Add(Subword.ToLower)
' Reset the subword for the next iteration
Subword = ""
End If
'Save unknowns
If Subword <> "" Then
UnknownWords.Add(Subword)
End If
Next
Next
End If
'Unknown Words
Dim UnknownChars As New List(Of String)
If UnknownWords.Count > 0 Then
For Each iChar In UnknownWords
Dim Chars As List(Of String) = TokenizeToCharacter(iChar)
For Each item In Chars
Subword = ""
Subword += item
If _vocabularyDict.ContainsKey(Subword.ToLower) Then
' If the subword is in the Vocabulary, add it to the list of subwords
tokens.Add(Subword.ToLower)
' Reset the subword for the next iteration
Subword = ""
End If
'Save unknowns
If Subword <> "" Then
UnknownChars.Add(Subword)
End If
Next
Next
End If
For Each unkChar In UnknownChars
_vocabularyDict.Add(unkChar, 1)
Next
Console.WriteLine("Recognized Tokens")
For Each tok In tokens
Console.WriteLine("Token =" & tok)
Next
Console.WriteLine("UnRecognized Tokens")
For Each tok In UnknownChars
Console.WriteLine("Token =" & tok)
Next
Return tokens
End Function
Public Overrides Function Tokenize(Document As String) As List(Of String)
Dim characterLevelVocabulary As New Dictionary(Of String, Integer)
For Each character As Char In Document
Dim subword As String = character.ToString()
If characterLevelVocabulary.ContainsKey(subword) Then
characterLevelVocabulary(subword) += 1
Else
characterLevelVocabulary.Add(subword, 1)
End If
Next
Return getTokenlist(characterLevelVocabulary)
End Function
Public Overrides Sub Train(ByRef Corpus As List(Of String))
For Each item In Corpus
' Tokenize the corpus at the character level to get the initial vocabulary
Dim characterLevelVocabulary As Dictionary(Of String, Integer) = Train(item)
' Merge the most frequent pairs of subwords iteratively
For i As Integer = 0 To MaxMergeOperations - 1
Dim mostFrequentPair As SubWord_Pair = FindMostFrequentPair(characterLevelVocabulary)
If mostFrequentPair Is Nothing Then
Exit For
End If
Dim newSubword As String = mostFrequentPair.Sub_word_1 + mostFrequentPair.Sub_Word_2
characterLevelVocabulary = MergeSubwordPair(characterLevelVocabulary, mostFrequentPair, newSubword)
Next
For Each Entry In characterLevelVocabulary
UpdateVocabulary(_vocabularyDict, Entry.Key)
Next
Next
End Sub
Public Overloads Function Train(Document As String) As Dictionary(Of String, Integer)
Dim characterLevelVocabulary As New Dictionary(Of String, Integer)
For Each character As Char In Document
Dim subword As String = character.ToString()
If characterLevelVocabulary.ContainsKey(subword) Then
characterLevelVocabulary(subword) += 1
Else
characterLevelVocabulary.Add(subword, 1)
End If
Next
Return characterLevelVocabulary
End Function
End Class
Public Class HybridTokenizer
Inherits Tokenizer
Public maxSubwordLength As Integer = 5
Public MaxVocabSize As Integer = 1000000
Private ReadOnly unkToken As String = "<Unk>"
Public Property MaxMergeOperations As Integer = 1000
Public ReadOnly Property PairFrequencies As Dictionary(Of String, Integer) = ComputePairFrequencies()
Public Sub Initialize_Vocabulary(initialVocabulary As List(Of String), n As Integer)
For Each word In initialVocabulary
For i As Integer = 0 To word.Length - n
UpdateVocabulary(word.Substring(i, n))
Next
Next
End Sub
Public Sub Prune(pruningThreshold As Integer)
Dim Pruner As New VocabularyPruner(MaxVocabSize, _vocabularyDict, pruningThreshold)