scholarly journals ANALIZA FLEKSYJNA TEKSTÓW HISTORYCZNYCH I ZMIENNOŚĆ FLEKSJI POLSKIEJ Z PERSPEKTYWY DANYCH KORPUSOWYCH

2020 ◽  
pp. 66-80
Author(s):  
Marcin Woliński ◽  
Witold Kieraś
Keyword(s):  
Natural Language Processing ◽  
Language Processing ◽  
Electronic Text ◽  
Modern Language ◽  
History Of ◽  
The Subject ◽  
Corpus Data ◽  
The Individual ◽  
Historical Periods ◽  
Over Time

The subject matter of this paper is Chronofl eks, a computer system (http:// chronofl eks.nlp.ipipan.waw.pl/) modelling Polish infl ection based on a corpus material. The system visualises changes of infl ectional paradigms of individual lexemes over time and enables examination of the variability of the frequency of infl ected form groups distinguished based on various criteria. Feeding Chronofl eks with corpus data required development of IT tools to ensure an infl ectional processing sequence of texts analogous to the ones used for modern language; they comprise a transcriber, a morphological analyser, and a tagger. The work was performed on data from three historical periods (1601–1772, 1830–1918, and modern ones) elaborated in independent projects. Therefore, fi nding a common manner of describing data from the individual periods was a signifi cant element of the work. Keywords: electronic text corpus – natural language processing – infl ection of Polish – history of language

scholarly journals Does higher education properly prepare graduates for the growing artificial intelligence market? Gaps identification using text mining

2021 ◽  
pp. 1-13
Author(s):  
Lamiae Benhayoun ◽  
Daniel Lang
Keyword(s):  
Artificial Intelligence ◽  
Natural Language Processing ◽  
Text Mining ◽  
Natural Language ◽  
Language Processing ◽  
Academic Training ◽  
Market Requirements ◽  
Job Advertisements ◽  
The Individual

BACKGROUND: The renewed advent of Artificial Intelligence (AI) is inducing profound changes in the classic categories of technology professions and is creating the need for new specific skills. OBJECTIVE: Identify the gaps in terms of skills between academic training on AI in French engineering and Business Schools, and the requirements of the labour market. METHOD: Extraction of AI training contents from the schools’ websites and scraping of a job advertisements’ website. Then, analysis based on a text mining approach with a Python code for Natural Language Processing. RESULTS: Categorization of occupations related to AI. Characterization of three classes of skills for the AI market: Technical, Soft and Interdisciplinary. Skills’ gaps concern some professional certifications and the mastery of specific tools, research abilities, and awareness of ethical and regulatory dimensions of AI. CONCLUSIONS: A deep analysis using algorithms for Natural Language Processing. Results that provide a better understanding of the AI capability components at the individual and the organizational levels. A study that can help shape educational programs to respond to the AI market requirements.

ExpanDrogram: Dynamic Visualization of Big Data Segmentation over Time

2021 ◽  
Vol 13 (2) ◽  
pp. 1-27
Author(s):  
A. Khalemsky ◽  
R. Gelbard
Keyword(s):  
Big Data ◽  
Visual Presentation ◽  
Trend Detection ◽  
Dynamic Visualization ◽  
Segmentation Process ◽  
Key Points ◽  
Wide Range ◽  
History Of ◽  
The Individual ◽  
Over Time

In dynamic and big data environments the visualization of a segmentation process over time often does not enable the user to simultaneously track entire pieces. The key points are sometimes incomparable, and the user is limited to a static visual presentation of a certain point. The proposed visualization concept, called ExpanDrogram, is designed to support dynamic classifiers that run in a big data environment subject to changes in data characteristics. It offers a wide range of features that seek to maximize the customization of a segmentation problem. The main goal of the ExpanDrogram visualization is to improve comprehensiveness by combining both the individual and segment levels, illustrating the dynamics of the segmentation process over time, providing “version control” that enables the user to observe the history of changes, and more. The method is illustrated using different datasets, with which we demonstrate multiple segmentation parameters, as well as multiple display layers, to highlight points such as new trend detection, outlier detection, tracking changes in original segments, and zoom in/out for more/less detail. The datasets vary in size from a small one to one of more than 12 million records.

Educational Software Evaluation

2011 ◽  
pp. 699-711 ◽  
Author(s):  
Michael Shaughnessy
Keyword(s):  
Educational Software ◽  
Evaluation Methodology ◽  
Evaluation Methodologies ◽  
Initial Investigation ◽  
History Of ◽  
The Subject ◽  
Software Methodologies ◽  
The Individual ◽  
Evaluation Techniques ◽  
Complete History

From 1980 to 2000, there were many articles written on the subject of software review and evaluation. Upon initial investigation of educational software methodologies, it appears that there are as many evaluation methodologies as there are authors presenting them. Several articles (methodology analyses) have been written describing these evaluation techniques (Bryson & Cullen, 1984; Eraut, 1989; Holznagel, 1983; Jones et al., 1999; McDougall & Squires, 1995; Reiser & Kegelmann, 1994, 1996; Russell & Blake, 1988). Each of these articles describes various methodologies and presents the most current evaluation methodology available, but fails to provide a complete history of the types of evaluation methodologies. These analyses of evaluation methodologies focus on the individual methodology, but refrain from putting individual methodologies into a greater systematic context.

Body and law in late Anglo-Saxon England

1998 ◽  
Vol 27 ◽  
pp. 209-232 ◽  
Author(s):  
Katherine O'Brien O'Keeffe
Keyword(s):  
The Body ◽  
Anglo Saxon ◽  
Manuscript Production ◽  
History Of ◽  
The Subject ◽  
The Law ◽  
The Individual ◽  
And Control ◽  
Point Of Departure

This article explores some textual dimensions of what I argue is a crucial moment in the history of the Anglo-Saxon subject. For purposes of temporal triangulation, I would locate this moment between roughly 970 and 1035, though these dates function merely as crude, if potent, signposts: the years 970×973 mark the adoption of the Regularis concordia, the ecclesiastical agreement on the practice of a reformed (and markedly continental) monasticism, and 1035 marks the death of Cnut, the Danish king of England, whose laws encode a change in the understanding of the individual before the law. These dates bracket a rich and chaotic time in England: the apex of the project of reform, a flourishing monastic culture, efflorescence of both Latin and vernacular literatures, remarkable manuscript production, but also the renewal of the Viking wars that seemed at times to be signs of the apocalypse and that ultimately would put a Dane on the throne of England. These dates point to two powerful and continuing sets of interests in late Anglo-Saxon England, ecclesiastical and secular, monastic and royal, whose relationships were never simple. This exploration of the subject in Anglo-Saxon England as it is illuminated by the law draws on texts associated with each of these interests and argues their interconnection. Its point of departure will be the body – the way it is configured, regarded, regulated and read in late Anglo-Saxon England. It focuses in particular on the use to which the body is put in juridical discourse: both the increasing role of the body in schemes of inquiry and of punishment and the ways in which the body comes to be used to know and control the subject.

scholarly journals Machine learning and natural language processing on the patent corpus: Data, tools, and new measures

2018 ◽  
Vol 27 (3) ◽  
pp. 535-553 ◽  
Author(s):  
Benjamin Balsmeier ◽  
Mohamad Assaf ◽  
Tyler Chesebro ◽  
Gabe Fierro ◽  
Kevin Johnson ◽  
...  
Keyword(s):  
Machine Learning ◽  
Natural Language Processing ◽  
Natural Language ◽  
Language Processing ◽  
Corpus Data

scholarly journals An Emerging Role of Chatbot in Businesses as a Novel Interactive Tool

2019 ◽  
Vol 7 (2) ◽  
pp. 36-39
Author(s):  
T. Venkat Narayana Rao et al.
Keyword(s):  
Artificial Intelligence ◽  
Natural Language Processing ◽  
Natural Language ◽  
Customer Service ◽  
Language Processing ◽  
Machine Language ◽  
Business Sector ◽  
Business People ◽  
History Of

Chatbot enables the business people to reach their target customers using popular messenger apps like Facebook, Whatsapp etc. Chatbots are not handled by humans directly. Nowadays, Chatbots are becoming very popular especially in business sector by reducing the human efforts and automated customer service. It is a software which interacts with user using natural language processing, Machine Language and Artificial Intelligence. They allow users to simply ask questions which would simulate interaction with the humans. The popular and well known chatbots are Alex and Siri. This paper focus on review of chatbot, history of chatbot and its implementation along with applications.

scholarly journals Artistic dominant of the image of character of occupational novel

2020 ◽  
pp. 93-103
Author(s):  
Anna Anatolievna Gaganova
Keyword(s):  
Instrumental Analysis ◽  
Political Bias ◽  
Systemic Analysis ◽  
Stage Of Development ◽  
The World ◽  
Russian Literary ◽  
History Of ◽  
The Subject ◽  
Historical Periods

The object of this research is the genre of occupational novel. The subject is the image of character of occupational novel. The goal consists in determination of artistic specificity of the image of character in the process of development of the genre. Russian literary works for the period of 1920’s – 1970’s united by the image of a man of labor became the material for this study. The evolution of the image of character is viewed on the sampling of representational works. The conclusions are made that at the stage of formation of the genre of occupational novel (1920’s – 1930’s) dominates the image of the reformer of the world. The next stage (1940’s – 1950’s) marks the character of the defender of reformed world. Then, in the 1960’s, it is followed by the character-rationalizer. The final chronological stage of history of the genre (1970’s) personifies the image of a young hero-seeker, defined by the professional calling in life. The scientific novelty consists in reference to the genre of occupational novel in its entire evolution from the perspective of philological instrumental analysis, while the earlier studies were characterized by political bias. The genre of occupational novel is separated from the literary trends of the XX century, and is divided into historical periods. The article suggests a systemic analysis of the image of character of occupational novel within the framework of evolution of the genre. The author is firs to highlight the key artistic attributes that represent an artistic dominant for the image of character at each stage of development of the genre.

scholarly journals Population Studies at 75 Years: A scientometric review

2021 ◽  
Author(s):  
Melinda C. Mills ◽  
Charles Rahal
Keyword(s):  
Family Planning ◽  
Language Processing ◽  
Fertility Decline ◽  
Population Studies ◽  
Supervised Machine Learning ◽  
Sex Preferences ◽  
History Of ◽  
Geographical Bias ◽  
Method Approach ◽  
Over Time

For 75 years, the journal Population Studies has advanced research on key substantive demographic topics of fertility, mortality, family, migration, and beyond to contributions in methods, and policy. Yet we lack a systematic and rigorous scientometric review that evaluates how research topics have evolved and by whom has authored them. We review all papers (N=1,901) and authorship contributions (N=3,267) published in the journal between 1947 and 2020. Our techniques employ natural language processing, social network analysis, and a novel mixed-method approach to incorporate un-supervised machine learning models conjoint with qualitative coders. After a brief history of the journal we show that authorship and articles have evolved over time, with a shift to shorter and multi-authored articles, with 34\% female authorships and skewed gender ratios in certain topics. The majority of articles have covered fertility, mortality and family research, studying groups, time and change, with topics expanding and waning in prevalence over time. Children are rarely studied and if examined, in relation to infant mortality or sex-preferences of parents. Research on women focuses on family planning and contraception, fertility decline, unions and divorce, whereas men’s domains are migration, historical demography (war, famine) and employment. Geographical bias is also present with family planning examined in Africa and Asia and fertility decline in North American and Europe. Our results inform policy for hiring and tenure committees and identify research gaps relevant for editors, funders and researchers.

scholarly journals Concept “Happiness” in the Autobiographical Prose of Vladimir Nabokov

2020 ◽  
Vol 2020 (2) ◽  
pp. 112-121
Author(s):  
Nadezhda S. Stepanova
Keyword(s):  
Cultural Memory ◽  
Vladimir Nabokov ◽  
Point Of View ◽  
Personal History ◽  
Artistic Experience ◽  
The Gift ◽  
History Of ◽  
The Subject ◽  
The Individual ◽  
Artistic Image

«Happiness» is one of the most significant cultural universals, semantically related to the concepts of the spiritual life of a man, the most important element performing meaning-forming and plot-forming role in an artistic work. The study of the reflection of notions about happiness in the autobiographical prose of V. Nabokov in the context of the literary and cultural situation of the first wave of Russian emigration is defined by the specifics of autobiography as a text that is created at the end of life and involves its recognition from the point of view of a person summing up intermediate or final results. The article analyzes the artistic concept «happiness» in the autobiographical prose of V. Nabokov; it determines its individual author’s content that is correlated with the general cultural content of the concept. The article is devoted to the study of the concept «happiness» as a complex emotional and value formation which reflects the universal artistic experience, recorded in the cultural memory, expresses the individual author’s understanding of the essence of objects and phenomena. The conceptual component of the word «happiness» in the creativity of V. Nabokov includes the harmonious fullness of life, freedom, the gift of creativity, the happiness of childhood, family, the hearth, the happiness of love and marriage, the enjoyment of life and its joys, a reflection of the personal history of upbringing and testing. The concept «happiness» implements not only semantic, but also axiological possibilities, reflecting both the own characteristics of the subject of the artistic image and the features of idiostyle of the writer.

Sign in / Sign up

Export Citation Format

Share Document