Log likelihood
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Publications (98)

1Building a FineGrained Subjectivity Lexicon from a Web Corpus2012  Isa Maks,Piek VossenComparison of the corpora is carried out with two measures: loglikelihood ratio and a percentage difference calculation. The first...

2LearningBased Detection of Scientific Terms in Patient Informationthrough the application of some simple TFIDFbased and Loglikelihoodbased filters. We show that filtering indeed has a beneficial...

3A New Approach to the CorpusBased Statistical Investigation of Hungarian MultiWord Lexemes2004  Balazs Kis,M Begona Villada Moiron,Gosse Bouma,Gabor Ugray,Gabor Pohl,John Nerbonne,Tamas Biroprecision with the best recall. These two functions were log likelihood (Dunning, 1993) and salience (Kilgarrif and Tugwell,...

4Enriching GermaNet with VerbNoun Relations  a Case Study of Lexical Acquisitionmeasures – mutual information (MI) (Church et al., 1991) and loglikelihood ratio (often referred to as G2 (Dunning, 1993)) – are...

5PatternBased Extraction of Negative Polarity Items from DependencyParsed TextA number of statistical association measures such as log likelihood ratio or tscore have been successfully applied to identify...

6A Domain Adaptive Approach to Automatic Acquisition of Domain Relevant Terms and their Relations with Bootstrappingcandidates can not be excluded. Therefore, they preferred LogLikelihood Measure, which takes into account the pair frequency...

7All Greek to me an Automatic Greeklish to Greek Transliteration System0000, 649 parameters, dissimilarity index=0.0000, BIC loglikelihood=1910374.5), with all variable main effects and interactions...

8Developing PartiallyTranscribed Speech Corpus from Edited Transcriptionsthe syllable duration d(si), and the syllable acoustic loglikelihood L(si) for a sequence of syllables sN1 where N is the...

9Mutual Bilingual Terminology Extractionalign term candidates, we use a contingency table, and loglikelihood (Manning & Schütze 1999) to measure how likely a pair...

10A Conditional Random Field Framework for Thai Morphological Analysismaximum likelihood estimation (MLE). We can express the log likelihood as follows: l(λ;D) = log p(Dλ) = log N∏ i=1 pλ(y(i)x(i))...