events. An abstract event represents all events with same program point, direction (write or read), and compatible memory location. An abstract event consists of first a unique identifier, then the direction specifier (W or R), and then the address specifier. In Figure 10(a), (a)Wx abstracts the events (a′)Wx1 and (a′′)Wx2 in the executions of Figure 10(b) and (c). Moreover, for example, a stat...

Part of Speech (POS) tagging can be described as a task of doing automatic annotation of syntactic categories for each word in a text document. This paper presents a POS tagger for Bengali using the statistical Maximum Entropy (ME) model. The system makes use of the different contextual information of the words along with the variety of features that are helpful in predicting the various POS cl...

OBJECTIVE Prediction of clinical outcome in diabetic patients with critical limb ischemia (CLI) is unsatisfactory. This prospective study investigates if the abundance and migratory activity of a subpopulation of circulating mononuclear cells, namely, CD45(dim)CD34(pos)CXCR4(pos)KDR(pos) cells, predict major amputation and cardiovascular death in type 2 diabetic patients undergoing percutaneous...

OBJECTIVES This study aimed to examine the potential effects of perceived organizational support (POS) and psychological capital (PsyCap) on combating depressive and anxious symptoms among Chinese underground coal miners. METHODS A cross-sectional survey was conducted in a coal-mining population in northeast China. The Center for Epidemiologic Studies Depression (CES-D) Scale, the Zung Self-R...

Coors Brewing Company is the third largest company in the highly competitive U.S. beer industry. The primary target market for its products is young adults, who demand innovative approaches to marketing from brewers, including relevant and creative point of sale (POS) materials in retail outlets. Coors depends upon the cooperation of distributors and retailers to place Coors’ POS materials in w...

MOTIVATION Predicting the part of speech (POS) tag of an unknown word in a sentence is a significant challenge. This is particularly difficult in biomedicine, where POS tags serve as an input to training sophisticated literature summarization techniques, such as those based on Hidden Markov Models (HMM). Different approaches have been taken to deal with the POS tagger challenge, but with one ex...

A good POS tagger is a critical component of a machine translation system and other related NLP applications where an appropriate POS tag will be assigned to individual words in a collection of texts. There is not enough POS tagged corpus available in Manipuri language ruling out machine learning approaches for a POS tagger in the language. A morphology driven Manipuri POS tagger that uses thre...

This paper examines unsupervised approaches to part-of-speech (POS) tagging for morphologically-rich, resource-scarce languages, with an emphasis on Goldwater and Griffiths’s (2007) fully-Bayesian approach originally developed for English POS tagging. We argue that existing unsupervised POS taggers unrealistically assume as input a perfect POS lexicon, and consequently, we propose a weakly supe...

Neuro-imaging studies on reading different parts of speech (PoS) report somewhat mixed results, yet some of them indicate different activations with different PoS. This paper addresses the difficulty of using fMRI to discriminate between linguistic tokens in reading of running text because of low temporal resolution. We show that once we solve this problem, fMRI data contains a signal of PoS di...