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Table of Contents Bootstrapping Method for Developing Part-of-Speech Tagged Corpus in Low Resource Languages Tagset- A Focus on an African IGBO Onyenwe Ikechukwu E, Nnamdi Azikiwe University
Onyedinma Ebele G, Nnamdi Azikiwe University
Aniegwu Godwin E, Federal College of Education (Technical)
Ezeani Ignatius M, University of Sheffield
Linguistic Manipulation - A Technique for Deception William Richard Pabst Cathey, affiliation not provided to SSRN
Fake News and Propaganda: Trump's Democratic America and Hitler's National Socialist (Nazi) Germany David E. Allen, School of Mathematics and Statistics, The University of Sydney, Financial Research Network (FIRN), Department of Finance, School of Business and Law, Edith Cowan University
Michael McAleer, Erasmus University Rotterdam - Erasmus School of Economics, Econometric Institute, Tinbergen Institute, University of Tokyo - Centre for International Research on the Japanese Economy (CIRJE), Faculty of Economics
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LINGUISTIC ANTHROPOLOGY eJOURNAL "Bootstrapping Method for Developing Part-of-Speech Tagged Corpus in Low Resource Languages Tagset- A Focus on an African IGBO" 
International Journal on Natural Language Computing (IJNLC) Vol.8, No.1, February 2019 ONYENWE IKECHUKWU E, Nnamdi Azikiwe University
Email: ie.onyenwe@unizik.edu.ng
ONYEDINMA EBELE G, Nnamdi Azikiwe University
Email: eg.osita@unizik.edu.ng
ANIEGWU GODWIN E, Federal College of Education (Technical)
Email: aniegwuge@gmail.com
EZEANI IGNATIUS M, University of Sheffield
Email: ignatius.ezeani@sheffield.ac.uk
In this paper, we demonstrate the efficacy of a POS annotation method that employed the services of two automatic approaches to assist POS tagged corpus creation for a novel language in NLP. The two approaches are cross-lingual and monolingual POS tags projection. We used cross-lingual to automatically create an initial 'errorful' tagged corpus for a target language via word-alignment. The resources for creating this are derived from a source language rich in NLP resources. A monolingual method is applied to clean the induce noise via an alignment process and to transform the source language tags to the target language tags. We used English and Igbo as our case study. This is possible because there are parallel texts that exist between English and Igbo, and the source language English has available NLP resources. The results of the experiment show a steady improvement in accuracy and rate of tags transformation with score ranges of 6.13% to 83.79% and 8.67% to 98.37% respectively. The rate of tags transformation evaluates the rate at which source language tags are translated to target language tags. "Linguistic Manipulation - A Technique for Deception" WILLIAM RICHARD PABST CATHEY, affiliation not provided to SSRN
This paper on legal linguistics deals with the misuse of the word "endorse" accomplished by the rejection of using a specificity qualifier necessary for such a "generic" term. The word "endorse" also includes the words "endorsement, endorsing, endorser, endorsee, and any other words derived from the word 'to endorse.'" "Fake News and Propaganda: Trump's Democratic America and Hitler's National Socialist (Nazi) Germany" DAVID E. ALLEN, School of Mathematics and Statistics, The University of Sydney, Financial Research Network (FIRN), Department of Finance, School of Business and Law, Edith Cowan University
Email: profallen2007@gmail.com
MICHAEL MCALEER, Erasmus University Rotterdam - Erasmus School of Economics, Econometric Institute, Tinbergen Institute, University of Tokyo - Centre for International Research on the Japanese Economy (CIRJE), Faculty of Economics
Email: Michael.McAleer@gmail.com
This paper features an analysis of President Trump's two State of the Union addresses, which are analysed by means of various data mining techniques including sentiment analysis. The intention is to explore the contents and sentiments of the messages contained, the degree to which they differ, and their potential implications for the national mood and state of the economy. In order to provide a contrast and some parallel context, analyses are also undertaken of President Obama's last State of the Union address and Hitler's 1933 Berlin Proclamation. The structure of these four political addresses is remarkably similar. The three US Presidential speeches are more positive emotionally than Hitler's relatively shorter address, which is characterized by a prevalence of negative emotions. However, it should be said that the economic circumstances in contemporary America and Germany in the 1930s are vastly different. | ^top
About this eJournal Supported by: American Anthropological Association (AAA)
This eJournal distributes working and accepted paper abstracts of linguistic anthropology studies. The topics in this eJournal include: Linguistic Studies; Language, Culture & Power; Language Evolution & Change; Language Socialization; Negative Results - Linguistic Anthropology.
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