BACKGROUND Although several studies have been conducted to investigate the relationship between perceived organizational support (POS) and job performance (JP), it remains unclear whether this relationship is appropriate for faculty members at Chinese universities. The objectives of this study were to (a) examine the correlation between POS andJP; (b) identify the predictors of POS, including d...

Parsing learner data poses a great challenge for standard tools, since non-canonical and unusual structures may lead to wrong interpretations on the part of the taggers and parsers. It is well known that providing a statistical parser with perfect part-of-speech (POS) tags is of great benefit for parsing accuracy, and that parsing results can decrease considerably when the parser has to predict...

Reduplicated Multiword Expressions (RMWEs) are abundant in Manipuri, the highly agglutinative India language. The Part of Speech (POS) tagging of Manipuri using Support Vector Machine (SVM) has been developed and evaluated. The POS tagger has been updated with identified RMWEs as another feature. The performance of the SVM based POS tagger before and after adding RMWE as a feature have been com...

Background: An ongoing assessment of the literature is difficult with the rapidly increasing volume of research publications and limited effective information extraction tools which identify entity relationships from text. A recent study reported development of Muscorian, a generic text processing tool for extracting proteinprotein interactions from text that achieved comparable performance to ...

A randomized, single-center, open-label study of posaconazole (POS) was performed to determine the concentration of POS in the skin of 30 healthy adult human subjects receiving 400 mg POS oral suspension twice daily for 8 days with a high-fat meal. Blood samples for plasma POS level determination were collected at prespecified times on day 1 and day 8. From each subject, two 4-mm skin punch bio...

POS Tagging is the process of assigning a correct POS tag (can be a noun, verb, adjective, adverb, or other lexical category marker) to each word of the sentence. POS taggers are developed by modeling the morpho-syntactic structure of natural language text. We attempted to improve the accuracy of existing Telugu POS taggers by using an voting algorithm. The three Telugu Pos taggers viz., (1) Ru...

Previous research has identified neurons in the postsubiculum (PoS) and anterior dorsal thalamic nucleus (AD) of the rat that discharge as a function of the animal's head direction. In addition, anatomical studies have shown that the AD and PoS are reciprocally connected with one another. The current study examined whether head direction (HD) cells in each of the two areas is dependent on input...

This paper presents the first part-of-speech (POS) tagging research for Tigrinya (Semitic language) from the newly constructed Nagaoka Tigrinya Corpus. The raw text was extracted from a newspaper published in Eritrea in the Tigrinya language. This initial corpus was cleaned and formatted in plaintext and the Text Encoding Initiative (TEI) XML format. A tagset of 73 tags was designed, and the co...

Part-Of-Speech(POS) tagging is the essential basis of Natural language processing(NLP). In this paper, we present an algorithm that combines a variety of context features, e.g. the POS tags of the words next to the word a that needs to be tagged and the context lexical information of a by Canonical Belief Network to together determine the POS tag of a. Experiments on a Chinese corpus are conduc...