We address the issue of data sparseness problem in language model (LM). Using class LM is one way to avoid this problem. In class LM, infrequent words are supported by more frequent words in the same class. This paper investigates a class LM based on LSA. A word-document matrix is usually used to represent a corpus in LSA framework. However, this matrix ignores word order in the sentence. We pr...

Background: A few reports confirm the ability of Helicobacter pylori to form biofilm. However, conclusive data do not exist concerning the factors that favor this ability.Objectives: Evaluation of the factors associated with the biofilm formation ability of H. pylori including bacterial, physical and chemical, and environmental factors was the research’s aim.Materials and Methods: H...

In recent work I have tried to spell out a Post Walrasian approach to macroeconomics (Colander, 1995a) and to translate that Post Walrasian vision into the aggregate supply/aggregate demand framework (Colander, 1995b). In this paper I continue that work and begin to relate the Post Walrasian vision to the standard IS/LM analysis. The paper is not about high theory; instead it is about the pedag...

The aim of the study was to define biological subtypes of breast cancer that have the propensity to metastasize to the leptomeninges and to assess factors influencing survival from detection of leptomeningeal metastatis (LM). One hundred and eighteen consecutive breast cancer patients with LM were treated in one institution, between the years 1999 and 2009; 40.5 % of patients had triple-negativ...

A two-stage latent prosody model-language model (LPM-LM)-based approach is proposed to identify two Mandarin accent types spoken by native speakers in Mainland China and Taiwan. The frontend LPM tokenizes and jointly models the affections of speaker, tone and prosody state of an utterance. The backend LM takes the decoded prosody state sequences and builds n-grams to model the prosodic differen...