scholarly journals Romanized Sindhi Rules for Text Communication

2021 ◽  
Vol 40 (2) ◽  
pp. 298-304
Author(s):  
Irum Naz Sodhar ◽  
Akhtar Hussain Jalbani ◽  
Muhammad Ibrahim Channa ◽  
Dil Nawaz Hakro
Keyword(s):  
Natural Language Processing ◽  
Mobile Phone ◽  
Language Processing ◽  
Text Messages ◽  
Proper Solution ◽  
The People ◽  
Sindh Province ◽  
The World ◽  
The Right ◽  
Text Writing

Sindhi is one of the historical languages which is widely used in all over the world, but especially in the province of Sindh Pakistan. Sindhi language has its own script and written by the right-handed. Nowadays the use of different Sindhi platforms is increasing especially for communication. The majority of the people of Sindh province read, write and speak very well, but they face the problem in text communication while using different communication platforms. However, the users of computer and mobile phone feel trouble/difficulty during the use of the Sindhi script in typing of text messages, tweets and comments while using different platforms in computer and mobile phone. Natural Language Processing (NLP) is one of the better options for the solution of these problems of text communication on different platforms. For the proper solution of text communication issues, Romanized Sindhi text is used instead of Sindhi text. Romanized text writing is easier than the Sindhi text writing because Sindhi text writing needs the special type of keyboard while writing of Romanized text does not need any special type of keyboard. For the writing of Romanized Sindhi text, rules are defined in this paper which provide easiness during writing and understanding of the text. Romanized Sindhi Rules (RSR) are simple and easy to understand the meaning of the text and provide fast communication (text). This study is also helpful for further research in the Romanized Sindhi text by using different approaches and provides easiness in communication.

A Machine Learning Application for Raising WASH Awareness in the Times of COVID-19 Pandemic (Preprint)

2020 ◽  
Author(s):  
Rohan Pandey ◽  
Vaibhav Gautam ◽  
Ridam Pal ◽  
Harsh Bandhey ◽  
Lovedeep Singh Dhingra ◽  
...  
Keyword(s):  
Machine Learning ◽  
Natural Language Processing ◽  
Natural Language ◽  
Machine Translation ◽  
Language Processing ◽  
User Feedback ◽  
Who Guidelines ◽  
The Times ◽  
The Right ◽  
Local Languages

BACKGROUND The COVID-19 pandemic has uncovered the potential of digital misinformation in shaping the health of nations. The deluge of unverified information that spreads faster than the epidemic itself is an unprecedented phenomenon that has put millions of lives in danger. Mitigating this ‘Infodemic’ requires strong health messaging systems that are engaging, vernacular, scalable, effective and continuously learn the new patterns of misinformation. OBJECTIVE We created WashKaro, a multi-pronged intervention for mitigating misinformation through conversational AI, machine translation and natural language processing. WashKaro provides the right information matched against WHO guidelines through AI, and delivers it in the right format in local languages. METHODS We theorize (i) an NLP based AI engine that could continuously incorporate user feedback to improve relevance of information, (ii) bite sized audio in the local language to improve penetrance in a country with skewed gender literacy ratios, and (iii) conversational but interactive AI engagement with users towards an increased health awareness in the community. RESULTS A total of 5026 people who downloaded the app during the study window, among those 1545 were active users. Our study shows that 3.4 times more females engaged with the App in Hindi as compared to males, the relevance of AI-filtered news content doubled within 45 days of continuous machine learning, and the prudence of integrated AI chatbot “Satya” increased thus proving the usefulness of an mHealth platform to mitigate health misinformation. CONCLUSIONS We conclude that a multi-pronged machine learning application delivering vernacular bite-sized audios and conversational AI is an effective approach to mitigate health misinformation. CLINICALTRIAL Not Applicable

A WORD-BASED CHINESE LANGUAGE UNDERSTANDING SYSTEM

1988 ◽  
Vol 02 (01) ◽  
pp. 25-35
Author(s):  
TIAN-SHUN YAO
Keyword(s):  
Natural Language Processing ◽  
Natural Language ◽  
Language Processing ◽  
Chinese Language ◽  
Computer Programs ◽  
World Knowledge ◽  
Knowledge Source ◽  
Language Understanding ◽  
Language Analysis ◽  
The World

With the word-based theory of natural language processing, a word-based Chinese language understanding system has been developed. In the light of psychological language analysis and the features of the Chinese language, this theory of natural language processing is presented with the description of the computer programs based on it. The heart of the system is to define a Total Information Dictionary and the World Knowledge Source used in the system. The purpose of this research is to develop a system which can understand not only Chinese sentences but also the whole text.

scholarly journals Natural Language Processing by Enhanced Honey Encryption Technique

2019 ◽  
Vol 8 (12S) ◽  
pp. 159-163
Keyword(s):  
Natural Language Processing ◽  
Natural Language ◽  
Language Processing ◽  
Cyber Attacks ◽  
Binary Form ◽  
Brute Force ◽  
Natural Languages ◽  
Cipher Text ◽  
The Right ◽  
Binary Strings

Traditional encryption systems and techniques have always been vulnerable to brute force cyber-attacks. This is due to bytes encoding of characters utf8 also known as ASCII characters. Therefore, an opponent who intercepts a cipher text and attempts to decrypt the signal by applying brute force with a faulty pass key can detect some of the decrypted signals by employing a mixture of symbols that are not uniformly dispersed and contain no meaningful significance. Honey encoding technique is suggested to curb this classical authentication weakness by developing cipher-texts that provide correct and evenly dispersed but untrue plaintexts after decryption with a false key. This technique is only suitable for passkeys and PINs. Its adjustment in order to promote the encoding of the texts of natural languages such as electronic mails, records generated by man, still remained an open-end drawback. Prevailing proposed schemes to expand the encryption of natural language messages schedule exposes fragments of the plaintext embedded with coded data, thus they are more prone to cipher text attacks. In this paper, amending honey encoded system is proposed to promote natural language message encryption. The main aim was to create a framework that would encrypt a signal fully in binary form. As an end result, most binary strings semantically generate the right texts to trick an opponent who tries to decipher an error key in the cipher text. The security of the suggested system is assessed..

scholarly journals How Language Shapes Prejudice Against Women: An Examination Across 45 World Languages

2020 ◽  
Author(s):  
David DeFranza ◽  
Himanshu Mishra ◽  
Arul Mishra
Keyword(s):  
Natural Language Processing ◽  
Natural Language ◽  
Language Processing ◽  
Ongoing Debate ◽  
Text Data ◽  
Gender Prejudice ◽  
World Languages ◽  
The World ◽  
Present Context ◽  
The Common

Language provides an ever-present context for our cognitions and has the ability to shape them. Languages across the world can be gendered (language in which the form of noun, verb, or pronoun is presented as female or male) versus genderless. In an ongoing debate, one stream of research suggests that gendered languages are more likely to display gender prejudice than genderless languages. However, another stream of research suggests that language does not have the ability to shape gender prejudice. In this research, we contribute to the debate by using a Natural Language Processing (NLP) method which captures the meaning of a word from the context in which it occurs. Using text data from Wikipedia and the Common Crawl project (which contains text from billions of publicly facing websites) across 45 world languages, covering the majority of the world’s population, we test for gender prejudice in gendered and genderless languages. We find that gender prejudice occurs more in gendered rather than genderless languages. Moreover, we examine whether genderedness of language influences the stereotypic dimensions of warmth and competence utilizing the same NLP method.

scholarly journals Generalized approach to sentiment analysis of short text messages in natural language processing

2020 ◽  
pp. 2-14
Author(s):  
Evrenii Polyakov ◽  
Leonid Voskov ◽  
Pavel Abramov ◽  
Sergey Polyakov
Keyword(s):  
Machine Learning ◽  
Natural Language Processing ◽  
Data Analysis ◽  
Natural Language ◽  
Sentiment Analysis ◽  
Language Processing ◽  
Full Range ◽  
Text Messages ◽  
Basic Solution ◽  
Short Text

Introduction: Sentiment analysis is a complex problem whose solution essentially depends on the context, field of study andamount of text data. Analysis of publications shows that the authors often do not use the full range of possible data transformationsand their combinations. Only a part of the transformations is used, limiting the ways to develop high-quality classification models.Purpose: Developing and exploring a generalized approach to building a model, which consists in sequentially passing throughthe stages of exploratory data analysis, obtaining a basic solution, vectorization, preprocessing, hyperparameter optimization, andmodeling. Results: Comparative experiments conducted using a generalized approach for classical machine learning and deeplearning algorithms in order to solve the problem of sentiment analysis of short text messages in natural language processinghave demonstrated that the classification quality grows from one stage to another. For classical algorithms, such an increasein quality was insignificant, but for deep learning, it was 8% on average at each stage. Additional studies have shown that theuse of automatic machine learning which uses classical classification algorithms is comparable in quality to manual modeldevelopment; however, it takes much longer. The use of transfer learning has a small but positive effect on the classificationquality. Practical relevance: The proposed sequential approach can significantly improve the quality of models under developmentin natural language processing problems.

The German Elections of 1928

1928 ◽  
Vol 22 (3) ◽  
pp. 698-705
Author(s):  
James K. Pollock
Keyword(s):  
Political Parties ◽  
The Political ◽  
City Councils ◽  
The People ◽  
The World ◽  
Modern Methods ◽  
Political Consolidation ◽  
National Socialists ◽  
The Right ◽  
Intensive Work

The elections which were held throughout Germany on May 20, 1928, are of considerable interest and importance not only to Germany but also to the rest of the world. These elections, to be sure, did not have the dramatic interest which attended the Reichstag elections of December, 1924. But they deserve attention for a number of reasons: first, because they are the first elections to be held in the Reich under what may be called normal conditions; second, because elections for five Landtags and several city councils were held at the same time; and third, because the elections gave a further test, and supplied additional evidence of the operation, of the German system of proportional representation.Despite the intensive work of the political parties, the people were not aroused to much enthusiasm during the campaign. The old Reichstag was dissolved before Easter, but not until the last week of the campaign could one detect any excitement. Never before had the electors been bombarded with so much printed matter, posters, and, last but not least, loud-speakers and films. All the modern methods of appealing to the voters were tried by the numerous political parties. There were lacking, however, the overpowering issues and the battlecries which were so effective in 1924. Parades, demonstrations, meetings, and all the rest were carried through successfully on the whole, but they were quite dull and uninteresting. Only the two extreme parties, the National Socialists or Hitlerites on the right, and the Communists on the left, could appear enthusiastic. Nevertheless, the lack of what the Germans call a “grosse Parole” and the lack of excitement are not to be deplored; their absence probably indicates progress toward social and political consolidation.

scholarly journals RIGHT TO FOOD FOR ALL IN INDIA: MYTH OR REALITY

2018 ◽  
pp. 178-189
Author(s):  
Grishma Soni ◽  
Prachi V. Motiyani
Keyword(s):  
Carbon Dioxide Emission ◽  
Right To Life ◽  
Human Right ◽  
Right To Food ◽  
Complex Issue ◽  
The People ◽  
The World ◽  
The Government ◽  
The Right ◽  
The Impact

As we all know that food is the basic Human necessity, without which no one can survive. Making food available for all the people in the world is now days becoming a complex issue. The availability food is decreasing as a result of increase in population that will result in food insecurity or malnutrition. Indian constitution interprets the right to food as part of right to life, which is fundamental human right. Change in climate, the impact of globalization, Global Warming, Carbon dioxide emission from fuel etc. also affects the right to food of many people. This paper examines the situation prevailing in India and looks into the obligations and initiatives by the government of India to ensure Right to Food and make suggestions for addressing the issue and examines the possible way to make the scheme workable to achieve food security.

New Media for Endangered Languages

2018 ◽  
pp. 509-530
Author(s):  
Laura Buszard-Welcher
Keyword(s):  
Natural Language Processing ◽  
New Media ◽  
Natural Language ◽  
Language Processing ◽  
Good News ◽  
Endangered Languages ◽  
Mediated Communication ◽  
Language Community ◽  
The World ◽  
Electronically Mediated Communication

This chapter presents three technologies essential to enabling any language in the digital domain: language identifiers (ISO 639-3), Unicode (including fonts and keyboards), and the building of corpora to enable natural language processing. Just a few major languages of the world are well-enabled for use with electronically mediated communication. Another few hundred languages are arguably on their way to being well-enabled, if for market reasons alone. For all the remaining languages of the world, inclusion in the digital domain remains a distant possibility, and one that likely requires sustained interest, attention, and resources on the part of the language community itself. The good news is that the same technologies that enable the more widespread languages can also enable the less widespread, and even endangered ones, and bootstrapping is possible for all of them. The examples and resources described in this chapter can serve as inspiration and guidance in getting started.

Hegel's Critique of the Triumph of Verstand in Modernity

1997 ◽  
Vol 18 (01) ◽  
pp. 54-70 ◽  
Author(s):  
Stephen Houlgate
Keyword(s):  
French Revolution ◽  
Philosophy Of History ◽  
Self Determination ◽  
Crucial Importance ◽  
The People ◽  
Universal Suffrage ◽  
The World ◽  
The Many ◽  
The Right ◽  
The Revolution

In his lectures on the philosophy of history Hegel passes this famous judgement on the French Revolution. “Anaxagoras had been the first to say that nous governs the world; but only now did humanity come to recognize that thought should rule spiritual actuality. This was thus a magnificent dawn”. What first gave rise to discontent in France, in Hegel's view, were the heavy burdens that pressed upon the people and the government's inability to procure for the Court the means of supporting its luxury and extravagance. But soon the new spirit of freedom and enlightenment began to stir in men's minds and carry them forward to revolution. “One should not, therefore, declare oneself against the assertion”, Hegel concludes, “that the Revolution received its first impulse from Philosophy” (VPW, p 924). However, Hegel points out that the legacy of the revolution is actually an ambiguous one. For, although the principles which guided the revolution were those of reason and were indeed magnificent – namely, that humanity is born to freedom and self-determination – they were held fast in their abstraction and turned “polemically”, and at times terribly, against the existing order (VPW, p 925). What ultimately triumphed in the revolution was thus not concrete reason itself, but abstract reason or understanding (VPW, p 923). In Hegel's view, the enduring legacy of such revolutionary understanding was, not so much the Terror, but the principle that “the subjective wills of the many should hold sway” (VPW, p 932). This principle, which Hegel calls the principle of “liberalism” and which we would call the principle of majority rule, has since spread from France to become one of the governing principles of modern stat. It has been used to justify granting universal suffrage, to justify depriving corporations and the nobility of the right to sit in the legislature, and in some cases to justify abolishing the monarchy. What is of crucial importance for Hegel, however, is that such measures have not rendered the state more modern and rational, but have in fact distorted the modern state.

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