scholarly journals “Am besten, du gehst.” Zur nähesprachlichen Verwendung des am-Superlativs im Vor-Vorfeld

Glottotheory ◽  
2020 ◽  
Vol 10 (1-2) ◽  
pp. 1-29
Author(s):  
Doris Höhmann
Keyword(s):  
Quantitative Analysis ◽  
Large Scale ◽  
Language Use ◽  
First Approximation ◽  
Core Part

AbstractThis paper investigates the use of the German am-superlative in colloquial utterances such as am besten, du gehst jetzt. In a first approximation, this construction can be described as elliptically used am-superlative occurring on the left sentence periphery within an Operator-Skopus-Struktur (Barden/Elstermann/Fiehler 2001). As will be shown in the empirical core part of the study, a qualitative-quantitative analysis, the pattern appears to be characterized by different overlapping and interplaying tendencies in language use (e.g. the selection and frequency of pronouns and sentence mood). The data used for the qualitative-quantitative analysis is taken mainly from a large-scale web corpus (deTenTen13).

Verb Intergroup Bias: Verbs Are Used More Often in Reference to In-Groups than Out-Groups

2020 ◽  
Vol 11 (6) ◽  
pp. 854-864
Author(s):  
Magdalena Formanowicz
Keyword(s):  
Quantitative Analysis ◽  
Natural Language ◽  
Large Scale ◽  
Language Use ◽  
Social Groups ◽  
Intergroup Bias ◽  
Basic Dimension ◽  
Social Biases ◽  
Group Comparisons

Agency is a basic dimension of evaluations of social groups. More agency is assigned to in-groups than to out-groups, and verb intergroup bias (VIB) captures this tendency in language use. Four studies that performed large-scale quantitative analysis of natural language use, which covered more than 200 billion words, 20 countries, and various time spans, support the VIB model. Verbs, which are prototypically associated with actions, serve as agency indicators, and thus generic in-groups are more often described with verbs ( we vs. they). Moreover, VIB is present in specific between-group comparisons: for Americans as an in-group reference and various out-groups (e.g., Mexicans, Russians, and Palestinians), as well as for Americans, Canadians, Britons, and Australians as in-group references and immigrants as a generic out-group. VIB is a useful tool in diagnosing intergroup discourses. Furthermore, VIB attests to the importance of analyzing language’s role in the formation and maintenance of social biases.

First grammar books in the Habsburg Monarchy: individual initiative and regulatory interference by the state (1760s–1770s)

2020 ◽  
Vol 2019 (2 (11)) ◽  
pp. 137-157
Author(s):  
Olga V. Khavanova ◽  
Keyword(s):  
Eighteenth Century ◽  
State Policy ◽  
Large Scale ◽  
Language Use ◽  
Linguistic Diversity ◽  
Mother Tongue ◽  
German Language ◽  
Habsburg Monarchy ◽  
Private Initiative ◽  
The One

The second half of the eighteenth century in the lands under the sceptre of the House of Austria was a period of development of a language policy addressing the ethno-linguistic diversity of the monarchy’s subjects. On the one hand, the sphere of use of the German language was becoming wider, embracing more and more segments of administration, education, and culture. On the other hand, the authorities were perfectly aware of the fact that communication in the languages and vernaculars of the nationalities living in the Austrian Monarchy was one of the principal instruments of spreading decrees and announcements from the central and local authorities to the less-educated strata of the population. Consequently, a large-scale reform of primary education was launched, aimed at making the whole population literate, regardless of social status, nationality (mother tongue), or confession. In parallel with the centrally coordinated state policy of education and language-use, subjects-both language experts and amateur polyglots-joined the process of writing grammar books, which were intended to ease communication between the different nationalities of the Habsburg lands. This article considers some examples of such editions with primary attention given to the correlation between private initiative and governmental policies, mechanisms of verifying the textbooks to be published, their content, and their potential readers. This paper demonstrates that for grammar-book authors, it was very important to be integrated into the patronage networks at the court and in administrative bodies and stresses that the Vienna court controlled the process of selection and financing of grammar books to be published depending on their quality and ability to satisfy the aims and goals of state policy.

SageBook: Toward a cross-generational social network for the Jewish sages’ prosopography

2018 ◽  
Vol 34 (3) ◽  
pp. 676-695
Author(s):  
Maayan Zhitomirsky-Geffet ◽  
Gila Prebor
Keyword(s):  
Social Network ◽  
Quantitative Analysis ◽  
Large Scale ◽  
Rabbinic Literature ◽  
Jewish Law ◽  
Related Data ◽  
Jewish Thought ◽  
Argumentation Analysis

Abstract In this research we devised and implemented a semi-automatic approach for building a SageBook–a cross-generational social network of the Jewish sages from the Rabbinic literature. The proposed methodology is based on a shallow argumentation analysis leading to detection of lexical–syntactic patterns which represent different relationships between the sages in the text. The method was successfully applied and evaluated on the corpus of the Mishna, the first written work of the Rabbinic Literature which provides the foundation to the Jewish law development. The constructed prosopographical database and the network generated from its data enable a large-scale quantitative analysis of the sages and their related data, and therefore might contribute to the research of the Talmudic literature and evolution of the Jewish thought throughout the two last millennia.

scholarly journals The Attitude of the Academic Community towards Distance Learning: A Lesson from a National Lockdown

2021 ◽  
Vol 19 (4) ◽  
pp. pp262-281
Author(s):  
Marta Migocka-Patrzałek ◽  
Magda Dubińska-Magiera ◽  
Dawid Krysiński ◽  
Stefan Nowicki
Keyword(s):  
Higher Education ◽  
Distance Learning ◽  
Quantitative Analysis ◽  
Large Scale ◽  
Online Courses ◽  
Academic Community ◽  
Teachers And Students ◽  
Willingness To Use ◽  
Academic Year

The number of online courses conducted at universities has been growing steadily worldwide. The demand for this form of education has jumped sharply in the 2019/2020 academic year as a consequence of the COVID-19 pandemic and the national lockdown. The following study uses the case of University of Wrocław and examines how this unprecedented situation would affect the attitude of members of the academic community toward distance learning. The examination, based on quantitative analysis of separated questionnaires distributed among teachers and students, reveals that the previous experience in distance learning strongly correlates with willingness to use it in the future, i.e. after fighting the coronavirus crisis. Thus, the research suggests that the implementation of distance learning may involve the need to put more emphasis on systematic and long-term actions. The results achieved in the study may contribute to improving the ways of implementing distance learning on a large scale in institutions dealing with higher education.  

scholarly journals pGlycoQuant with a deep residual network for precise and minuscule-missing-value quantitative glycoproteomics enabling the functional exploration of site-specific glycosylation

2021 ◽  
Author(s):  
Weiqian Cao ◽  
Siyuan Kong ◽  
Wenfeng Zeng ◽  
Pengyun Gong ◽  
Biyun Jiang ◽  
...  
Keyword(s):  
Quantitative Analysis ◽  
Large Scale ◽  
Missing Values ◽  
Software Tool ◽  
Software Tools ◽  
Residual Network ◽  
Site Specific ◽  
Carcinoma Cell Lines ◽  
L1 Cell Adhesion Molecule

Interpreting large-scale glycoproteomic data for intact glycopeptide identification has been tremendously advanced by software tools. However, software tools for quantitative analysis of intact glycopeptides remain lagging behind, which greatly hinders exploring the differential expression and functions of site-specific glycosylation in organisms. Here, we report pGlycoQuant, a generic software tool for accurate and convenient quantitative intact glycopeptide analysis, supporting both primary and tandem mass spectrometry quantitation for multiple quantitative strategies. pGlycoQuant enables intact glycopeptide quantitation with very low missing values via a deep residual network, thus greatly expanding the quantitative function of several powerful search engines, currently including pGlyco 2.0, pGlyco3, Byonic and MSFragger-Glyco. The pGlycoQuant-based site-specific N-glycoproteomic study conducted here quantifies 6435 intact N-glycopeptides in three hepatocellular carcinoma cell lines with different metastatic potentials and, together with in vitro molecular biology experiments, illustrates core fucosylation at site 979 of the L1 cell adhesion molecule (L1CAM) as a potential regulator of HCC metastasis. pGlycoQuant is freely available at https://github.com/expellir-arma/pGlycoQuant/releases/. We have demonstrated pGlycoQuant to be a powerful tool for the quantitative analysis of site-specific glycosylation and the exploration of potential glycosylation-related biomarker candidates, and we expect further applications in glycoproteomic studies.

4 Quantitative Analysis of Reasoned Decisions and Awards

2020 ◽  
Author(s):  
Strong SI
Keyword(s):  
Quantitative Analysis ◽  
Large Scale ◽  
Citation Count ◽  
Background Information ◽  
Structured Interviews ◽  
Data Set ◽  
Judicial Decisions ◽  
Counting Technique

This chapter involves a large-scale, quantitative analysis of judicial decisions and arbitral awards. The chapter begins by describing the methodology used to create the data set and coding criteria before moving on to present demographic and background information on the various decisions and awards so as to lay a foundation for the substantive analysis. Findings from the coding exercise include information generated by a novel paragraph-counting technique as well as a citation count analysis of both legal and factual authorities. The exercise tracks a number of issues addressed in the survey and semi-structured interviews, thereby allowing triangulation of data.

scholarly journals Measuring urban form: Overcoming terminological inconsistencies for a quantitative and comprehensive morphologic analysis of cities

2020 ◽  
pp. 239980832091044 ◽  
Author(s):  
Martin Fleischmann ◽  
Ombretta Romice ◽  
Sergio Porta
Keyword(s):  
Spatial Distribution ◽  
Quantitative Analysis ◽  
Urban Form ◽  
Large Scale ◽  
Global Scale ◽  
Urban Morphology ◽  
Systematic Classification ◽  
Social Patterns ◽  
The Impact

Unprecedented urbanisation processes characterise the Great Acceleration, urging urban researchers to make sense of data analysis in support of evidence-based and large-scale decision-making. Urban morphologists are no exception since the impact of urban form on fundamental natural and social patterns (equity, prosperity and resource consumption’s efficiency) is now fully acknowledged. However, urban morphology is still far from offering a comprehensive and reliable framework for quantitative analysis. Despite remarkable progress since its emergence in the late 1950s, the discipline still exhibits significant terminological inconsistencies with regards to the definition of the fundamental components of urban form, which prevents the establishment of objective models for measuring it. In this article, we present a study of existing methods for measuring urban form, with a focus on terminological inconsistencies, and propose a systematic and comprehensive framework to classify urban form characters, where ‘urban form character’ stands for a characteristic (or feature) of one kind of urban form that distinguishes it from another kind. In particular, we introduce the Index of Elements that allows for a univocal and non-interpretive description of urban form characters. Based on such Index of Elements, we develop a systematic classification of urban form according to six categories (dimension, shape, spatial distribution, intensity, connectivity and diversity) and three conceptual scales (small, medium, large) based on two definitions of scale (extent and grain). This framework is then applied to identify and organise the urban form characters adopted in available literature to date. The resulting classification of urban form characters reveals clear gaps in existing research, in particular, in relation to the spatial distribution and diversity characters. The proposed framework reduces the current inconsistencies of urban morphology research, paving the way to enhanced methods of urban form systematic and quantitative analysis at a global scale.

Ontology-based analysis of the large collection of historical Hebrew manuscripts

2019 ◽  
Author(s):  
Maayan Zhitomirsky-Geffet ◽  
Gila Prebor ◽  
Isaac Miller
Keyword(s):  
Quantitative Analysis ◽  
Large Scale ◽  
Scale Analysis ◽  
Large Collection ◽  
Data Enrichment ◽  
Large Scale Analysis ◽  
The World ◽  
Library Catalogue ◽  
Event Based ◽  
New Framework

Abstract In this paper, we present a new semi-automatic methodology for construction of event-based ontology from the library catalogue of the largest collection in the world of metadata records of historical Hebrew manuscripts. Based on the constructed ontology, we developed and implemented a new framework for catalogue data enrichment, correction, and its systematic quantitative analysis. Finally, we demonstrate the results of the proposed large-scale analysis of three most prominent event types in the corpus, as well as a few cross-event relations and trends.

scholarly journals A Survey on Distributed Filtering and Fault Detection for Sensor Networks

2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
Hongli Dong ◽  
Zidong Wang ◽  
Steven X. Ding ◽  
Huijun Gao
Keyword(s):  
Sensor Networks ◽  
Fault Detection ◽  
Large Scale ◽  
Future Research ◽  
Information Structures ◽  
Distributed Information ◽  
Practical Research ◽  
And Mathematics ◽  
Faulty Sensors ◽  
Core Part

In recent years, theoretical and practical research on large-scale networked systems has gained an increasing attention from multiple disciplines including engineering, computer science, and mathematics. Lying in the core part of the area are the distributed estimation and fault detection problems that have recently been attracting growing research interests. In particular, an urgent need has arisen to understand the effects of distributed information structures on filtering and fault detection in sensor networks. In this paper, a bibliographical review is provided on distributed filtering and fault detection problems over sensor networks. The algorithms employed to study the distributed filtering and detection problems are categorised and then discussed. In addition, some recent advances on distributed detection problems for faulty sensors and fault events are also summarized in great detail. Finally, we conclude the paper by outlining future research challenges for distributed filtering and fault detection for sensor networks.

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