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Publications (13)

1A Dynamic Language Model Based on Individual Word Domainsestimate the conditional probability of a word given a sequence of preceding words. The conditional probability can be further...

2A Computational Model Of Language Performance: Data Oriented Parsing1992  Rens Bodthe input sentence is obtained by maximizing file conditional probability of a parse given the sentence. Finally, the preferred...

3A Probabilistic Model for Measuring Grammaticality and Similarity of Automatically Generated Paraphrases of Predicate Phrases2008  Atsushi Fujita,Satoshi Satofactor and similarity factor are derived from a conditional probability. In Section 4, the settings for and results of an...

4Random Walks on ContextAware Relation Graphs for Ranking Social Tagsannotation (a set of tags). The content is represented as a sequence of words xr = {x i}Nri=1, where Nr is the number of words in...given a context word w can be represented as the conditional probability Pr(t1, t2w). 655 We first introduce a naive...

5Processing Self Corrections in a speech to speech systemspace reduction, but we are only interested in the conditional probability P(TIS ). For further processing steps we have to...semantic word classes. Ilence the input is not merely a sequence of words but a sequence of triples. Each triple has three slots...

6A Stochastic Parser Based on an SLM with Arboreal Context Trees2002  Shinsuke Morito predict the number of trees. Thus, the second conditional probability in the right hand side of Equation (1) is rewritten...tree with the highest probability ^ T for a given sequence of words w according to ^ T = argmax T P (T jw) = argmax...

7Dependency Structure Analysis and Sentence Boundary Detection in Spontaneous Japaneseﬁnd the best output sequence, Y , that maximizes conditional probability P (Y X): max Y P (Y X) = max Y P (Y )P (X Y...detection can be reduced to the problem of translating a sequence of words, X, that does not include periods but instead includes...

8CodeSwitch Language Model with Inversion Constraints for Mixed Language Speech Recognition2012  Ying Li,Pascale Fungboundary prediction model trains the probabilities of a sequence of words segmented into a sequence of phrases from the aligned...not codeswitch. x is an ntuple containing the conditional probability P(ew) of codeswitch from a word, w, in the matrix...

9Modeling Chinese Documents with Topical WordCharacter Modelsis defined in terms of three sets of variables: a sequence of words wG , a sequence of topics zG , and a sequence of indicators...it is now time to sample zi+1 according to the conditional probability ( )(  , , , , , , , , )i 1 i 1P z j z x t c α...

10Probabilistic Sentence Reduction Using Support Vector Machinesrewriting actions are defined. An Input list consists of a sequence of words subsumed by the tree t where each word in the Input...