Base distribution
Experts

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Publications (10)

1Nonparametric Model for Inupiaq Word Segmentation2012  ThuyLinh Nguyen,Stephan Vogeltranslation to segment Arabic or Hebrew. We model the base distribution of targetsource word alignment depends on the cooccurance...

2Nonparametric Word Segmentation for Machine Translationusing (n − 1)gram as the base distribution. At the unigram level, the model uses the base distribution p (s) as the inﬁnitegram...

3Bayesian Language Modelling of German CompoundsPYP priors over them. The PYP is defined through its base distribution, and a strength (θ) and discount (d) hyperparameter...

4Unsupervised phonemic Chinese word segmentation using Adaptor Grammarsaccuracy could be improved by using a more sophisticated “base distribution” and a dynamic programming sampling algorithm very similar...

5Improved Combinatory Categorial Grammar Induction with Boundary Words and Bayesian Inferencedistribution P0. We also put a Dirichlet prior on the base distribution and sample the base rule probabilities from the Dirichlet...

6Bayesian SemiSupervised Chinese Word Segmentation for Statistical Machine Translationincreases as more instances of that word are seen. For the base distribution P0, which governs the generation of new words, we use...

7Alignment by Bilingual Generation and Monolingual Derivation2012  Toshiaki Nakazawa,Sadao Kurohashi1968 where MA is the base distribution and αA is a concentration parameter. The base distribution is defined as: MA(〈eC...

8Identification of Social Acts in Dialoguethe concentration parameter and P0 is the base distribution. The base distribution is made up of: (1) a Poisson distribution...

9SemiSupervised Semantic Role Labeling: Approaching from an Unsupervised Perspective2012  Ivan Titov,Alexandre Klementievpossibility of drawing the random argument key from some base distribution H(K), instead of choosing it from the set of keys associated...

10Bayesian Text Segmentation for Index Term Identification and Keyphrase Extractiontwo parameters, the concentration parameter α and the base distribution P0. Formally, mwei G ∼ G, Gα, P0 ∼ DP(α, P0). As is...