Contents
Index
chatter-0.0.0.4: A library of simple NLP algorithms.
Index
addDocument
NLP.Types
addTerm
NLP.Types
addTerms
NLP.Types
averageWeights
NLP.POS.AvgPerceptron
Class
1 (Type/Class)
NLP.POS.AvgPerceptron
2 (Data Constructor)
NLP.POS.AvgPerceptron
contractions
NLP.Tokenize
corpLength
NLP.Types
corpTermCounts
NLP.Types
Corpus
1 (Type/Class)
NLP.Types
2 (Data Constructor)
NLP.Types
cosVec
NLP.Similarity.VectorSim
DefaultMap
Data.DefaultMap
defaultTagger
NLP.POS
defaultTokenizer
NLP.Tokenize
defDefault
Data.DefaultMap
DefMap
Data.DefaultMap
defMap
Data.DefaultMap
deserialize
NLP.POS
dotProd
NLP.Similarity.VectorSim
E
NLP.Tokenize
EitherList
NLP.Tokenize
empty
Data.DefaultMap
emptyPerceptron
NLP.POS.AvgPerceptron
,
NLP.POS.AvgPerceptronTagger
eval
NLP.POS
Feat
NLP.POS.AvgPerceptron
Feature
NLP.POS.AvgPerceptron
finalPunctuation
NLP.Tokenize
foldl
Data.DefaultMap
fromList
Data.DefaultMap
fromTag
NLP.Types
fullPlugArchive
NLP.Corpora.Email
idf
NLP.Similarity.VectorSim
initialPunctuation
NLP.Tokenize
instances
NLP.POS.AvgPerceptron
keys
Data.DefaultMap
loadTagger
NLP.POS
lookup
Data.DefaultMap
magnitude
NLP.Similarity.VectorSim
mkCorpus
NLP.Types
mkTagger
1 (Function)
NLP.POS.LiteralTagger
2 (Function)
NLP.POS.UnambiguousTagger
3 (Function)
NLP.POS.AvgPerceptronTagger
mkVector
NLP.Similarity.VectorSim
negatives
NLP.Tokenize
parseTag
NLP.Types
Perceptron
1 (Type/Class)
NLP.POS.AvgPerceptron
2 (Data Constructor)
NLP.POS.AvgPerceptron
plugArchiveText
NLP.Corpora.Email
plugArchiveTokens
NLP.Corpora.Email
plugDataPath
NLP.Corpora.Email
posBackoff
NLP.Types
posID
NLP.Types
posSerialize
NLP.Types
posSplitter
NLP.Types
POSTagger
1 (Type/Class)
NLP.Types
2 (Data Constructor)
NLP.Types
posTagger
NLP.Types
posTokenizer
NLP.Types
posTrainer
NLP.Types
predict
NLP.POS.AvgPerceptron
punctuation
NLP.Tokenize
readF
NLP.Corpora.Email
readPOS
NLP.Corpora.Parsing
readTagger
1 (Function)
NLP.POS.LiteralTagger
2 (Function)
NLP.POS.UnambiguousTagger
3 (Function)
NLP.POS.AvgPerceptronTagger
run
NLP.Tokenize
safeInit
NLP.Corpora.Parsing
saveTagger
NLP.POS
Sentence
NLP.Types
serialize
NLP.POS
sim
NLP.Similarity.VectorSim
similarity
NLP.Similarity.VectorSim
stripTags
NLP.Types
Tag
1 (Type/Class)
NLP.Types
2 (Data Constructor)
NLP.Types
tag
1 (Function)
NLP.POS.LiteralTagger
2 (Function)
NLP.POS.AvgPerceptronTagger
3 (Function)
NLP.POS
TaggedSentence
NLP.Types
taggerID
1 (Function)
NLP.POS.LiteralTagger
2 (Function)
NLP.POS.UnambiguousTagger
3 (Function)
NLP.POS.AvgPerceptronTagger
taggerTable
NLP.POS
tagSentence
1 (Function)
NLP.POS.LiteralTagger
2 (Function)
NLP.POS.AvgPerceptronTagger
tagStr
NLP.POS
tagText
NLP.POS
tagUNK
NLP.Types
termCounts
NLP.Types
TermVector
NLP.Similarity.VectorSim
tf
NLP.Similarity.VectorSim
tf_idf
NLP.Similarity.VectorSim
tokenize
NLP.Tokenize
Tokenizer
NLP.Tokenize
totals
NLP.POS.AvgPerceptron
train
1 (Function)
NLP.POS.UnambiguousTagger
2 (Function)
NLP.POS.AvgPerceptron
3 (Function)
NLP.POS.AvgPerceptronTagger
4 (Function)
NLP.POS
trainInt
NLP.POS.AvgPerceptronTagger
trainNew
NLP.POS.AvgPerceptronTagger
trainOnFiles
NLP.POS.AvgPerceptronTagger
trainStr
NLP.POS
trainText
NLP.POS
tstamps
NLP.POS.AvgPerceptron
tvSim
NLP.Similarity.VectorSim
unE
NLP.Tokenize
update
NLP.POS.AvgPerceptron
uris
NLP.Tokenize
Weight
NLP.POS.AvgPerceptron
weights
NLP.POS.AvgPerceptron
whitespace
NLP.Tokenize