Tibetan Part of Speech (POS) tagging, the foundation of Tibetan natural language processing, judges word classification according to contextual information of words. Based on the framework of the maximum entropy model, the paper studied the fusion of morphological features for Tibetan part of speech with maximum entropy model with the integration of word clustering features. Experimental result...

Ensuring consistency of Part-of-Speech (POS) tagging plays an important role in constructing high-quality Chinese corpora. After analyzing the POS tagging of multi-category words in largescale corpora, we propose a novel consistency check method of POS tagging in this paper. Our method builds a vector model of the context of multicategory words, and uses the k-NN algorithm to classify context v...

Base Phrase Chunking (BPC) or shallow syntactic parsing is proving to be a task of interest to many natural language processing applications. In this paper, A BPC system is introduced that improves over state of the art performance in BPC using a new part of speech tag (POS) set. The new POS tag set, ERTS, reflects some of the morphological features specific to Modern Standard Arabic. ERTS expl...

Language models for speech recognition concentrate solely on recognizing the words that were spoken. In this paper, we advocate redefining the speech recognition problem so that its goal is to find both the best sequence of words and their POS tags, and thus incorporate POS tagging. To use POS tags effectively, we use clustering and decision tree algorithms, which allow generalizations between ...

As organizational leaders worry about the appalling low percentage of people who feel engaged in their work, academics are trying to understand what causes an increase in engagement. We collected survey data from 231 team members from two organizations. We examined the impact of team members' emotional intelligence (EI) and their perception of shared personal vision, shared positive mood, and p...

Part Of Speech (POS) tagging forms the important preprocessing step in many of the natural language processing applications such as text summarization, question answering and information retrieval system. It is the process of classifying every word in a given context to its appropriate part of speech. Different POS tagging techniques in the literature have been developed and experimented. Curre...

the aim of this study was to investigate the relationship between perceived organizational support (pos) and organizational citizenship behavior (ocb) of experts of national olympic and paralympic academy (nopa) in iran. the present research method was descriptive survey and of a correlation type. the statistical population consisted of all nopa experts (n=60) and the statisticl sample equalled...

This study aims to determine the impact of service digitization reform on customer satisfaction in PT Pos Indonesiaa Bandung City Office. will affect activities as a whole because technological developments are inevitable. Digital operations satisfaction, with such digitalization, customers can feel satisfied and vice versa. The number respondents this was 100 using random sampling method. uses...

INTRODUCTION As further restrictions have been placed on tobacco advertising and promotions, point-of-sale (PoS) displays of cigarettes in shops have become an increasingly important source of young people's exposure to tobacco products. This study explored the relationship between PoS displays of cigarettes and brand awareness among secondary school students in Scotland. METHODS Cross-sectio...

Two partially ordered monoids S and T are called Morita equivalent if the categories of right S-posets and right T -posets are Pos-equivalent as categories enriched over the category Pos of posets. We give a description of Pos-prodense biposets and prove Morita theorems I, II, and III for partially ordered monoids.