Measuring Style in Isaiah: Isaiah 34–35 and the Tiberias Stylistic Classifier for the Hebrew Bible

2021 ◽  
pp. 1-14
Author(s):  
Joshua Berman
Keyword(s):  
Hebrew Bible ◽  
Linguistic Analysis ◽  
Proof Of Concept ◽  
Linguistic Features ◽  
Text Corpus ◽  
Book Of Isaiah ◽  
Syntactic Features ◽  
Diachronic Development

Abstract Scholars routinely discern the diachronic development of the book of Isaiah with a discreet focus on vocabulary, phrases, themes, and motifs. All but absent from consideration are the distribution and recurrence of grammatical, morphological, and syntactic features within the text. This study serves as a proof-of concept for the linguistic analysis of such features now available with the launch of the Tiberias Stylistic Classifier for the Hebrew Bible (https://tiberias.dicta.org.il/#/). Measuring and weighing the linguistic features of Isa 1–33 and Isa 40–55, the study brings to light the morphological and syntactic features most characteristic of each text corpus. The study also demonstrates that chs. 34 and 35 of Isaiah are much closer in morphology and syntax to chs. 1–33 than they are to chs. 40–55. The implications of these findings are examined in consideration of the scholarly debate concerning the provenance of these two chapters.

scholarly journals A Critical Linguistic analysis of the representation of Muslims in The New York Times

2017 ◽  
Vol 21 (40) ◽  
pp. 217
Author(s):  
Zakaria Lemmouh
Keyword(s):  
New York ◽  
Quantitative Analysis ◽  
Analytical Method ◽  
New York Times ◽  
Linguistic Analysis ◽  
Linguistic Features ◽  
The New York Times ◽  
Syntactic Features ◽  
Shed Light

The aim of this study is to shed light on recurring lexical and syntactic features that contribute to a stereotyped image of out-groups in newspapers. The focus of the study is on articles relating to Muslims in The New York Times. The analysis is based on the analytic paradigm of Critical Linguistics (CL) and Corpus Semantics (CS). The results show that the linguistic features analysed point to a systematic ‘othering’ and stereotyping of Muslims as compared to other participants. The study concludes with a discussion on how the grammatical features examined work together to project a stereotyped image of Muslims and how the analytical method of Critical Linguistics (CL) copes with a quantitative analysis of a great deal of randomly chosen data from a corpus consisting of newspapers from the New York Times.

Sin and Punishment in the Book of Isaiah

2020 ◽  
pp. 248-264
Author(s):  
Blaženka Scheuer
Keyword(s):  
Hebrew Bible ◽  
Human Experience ◽  
Social Injustice ◽  
Book Of Isaiah ◽  
Recent Scholarship

This chapter explores the themes of sin and punishment through the lens of a theodicy that the authors and redactors of Isaiah offer to justify Yhwh’s actions and to instruct the Israelites to stay loyal to him. The three parts of Isaiah agree that the exile was Yhwh’s punishment for the Israelites’ rebellion demonstrated through social injustice and idolatry. However, because of the different historical realities that they address, they present varied understandings of the identity of the sinners and of the rationale for their punishment. The chapter also surveys the changes in recent scholarship in the study of sin and of the correspondence between sin and punishment in the Hebrew Bible. It draws attention to the fact that amid all the declarations of the Israelites’ sins, Isaiah gives voice to the human experience of unjust punishment.

An Analysis of Indian English News Headlines

2020 ◽  
Author(s):  
Samapika Roy ◽  
◽  
Sukhada ◽  
Anil Kr. Singh ◽  
◽  
...  
Keyword(s):  
Linguistic Analysis ◽  
News Article ◽  
Linguistic Features ◽  
Indian English ◽  
Natural Languages ◽  
British English ◽  
Sentence Construction ◽  
News Headlines

News Headlines (NHs) are of the most creative uses of natural languages in a media text. An NH is the frontline of a news article. Specific characteristics make NHs standout: for instance, article omission, use of active verbs, dropping the copula to save space and to attract the reader’s attention to the most significant words, etc. Some research has been done on linguistic analysis of British English NH, Hindi-Urdu NHs, but hardly any work has been conducted on IndENH. This paper attempts to analyze Indian English newspaper headlines (IndENH), and aims to contribute to the accuracy of News Headline parsing. This study determines the linguistic features of the IndENH, to improve the quality of the parsed output of NHs. This paper covers sentence construction, tense, punctuation marks, metaphors, etc. for linguistic analysis.

scholarly journals Genre Analysis: A Study of Pakistani Wedding Invitation Cards

2020 ◽  
Vol V (I) ◽  
pp. 155-162
Author(s):  
Nazish Amjad ◽  
Fakhira Riaz
Keyword(s):  
Linguistic Analysis ◽  
Genre Analysis ◽  
Linguistic Features ◽  
Sentence Complexity

The present study has examined the Pakistani wedding invitation cards. The objectives of this study are to conduct the genre analysis of wedding cards i.e. to analyze the moves, its order, communicative purpose and nature; and to explore the micro-linguistic features of the language of wedding invitation cards. For this purpose, fifty Baraat invitation cards, Mehndi invitation cards and wedding cards envelopes each was selected for the analysis by using models proposed by Swales (1990) and Bhatia (1993). The results revealed eleven moves in Baraat invitation cards, ten in Mehndi cards and five in wedding cards envelopes out of which some are optional and some are obligatory depending on the frequency of its occurrence in wedding cards. For the analysis of micro-linguistic features, Bhatia’s model (1993) has been used. The micro-linguistic analysis includes sentence complexity, length of the sentence, verb, nouns, conjunctions and prepositions

scholarly journals A Deep Paraphrase Identification Model Interacting Semantics with Syntax

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-14
Author(s):  
Leilei Kong ◽  
Zhongyuan Han ◽  
Yong Han ◽  
Haoliang Qi
Keyword(s):  
Neural Network ◽  
Natural Language ◽  
Convolutional Neural Network ◽  
Semantic Representation ◽  
Experimental Results ◽  
Plagiarism Detection ◽  
Linguistic Features ◽  
Syntactic Structures ◽  
Syntactic Features ◽  
Identification Model

Paraphrase identification is central to many natural language applications. Based on the insight that a successful paraphrase identification model needs to adequately capture the semantics of the language objects as well as their interactions, we present a deep paraphrase identification model interacting semantics with syntax (DPIM-ISS) for paraphrase identification. DPIM-ISS introduces the linguistic features manifested in syntactic features to produce more explicit structures and encodes the semantic representation of sentence on different syntactic structures by means of interacting semantics with syntax. Then, DPIM-ISS learns the paraphrase pattern from this representation interacting the semantics with syntax by exploiting a convolutional neural network with convolution-pooling structure. Experiments are conducted on the corpus of Microsoft Research Paraphrase (MSRP), PAN 2010 corpus, and PAN 2012 corpus for paraphrase plagiarism detection. The experimental results demonstrate that DPIM-ISS outperforms the classical word-matching approaches, the syntax-similarity approaches, the convolution neural network-based models, and some deep paraphrase identification models.

scholarly journals Toward Binding Database Interfaces with Scientific Papers

2018 ◽  
Vol 186 ◽  
pp. 08002
Author(s):  
Laurent Michel ◽  
Sinan Acar ◽  
Gilles Landais ◽  
André Schaaff
Keyword(s):  
Search Engine ◽  
Full Text ◽  
Proof Of Concept ◽  
Web Interface ◽  
Text Corpus ◽  
Web Interfaces ◽  
User Request ◽  
Scientific Papers ◽  
Data Collections

Despite a large variety of facilities helping to either select or manipulate data from Web interfaces, it remains diffcult to provide users with relevant scientific or technical annotations for those data. Introducing such content by hand into a Web interface is a tedious job with a risk of providing in complete or inadequate content. To overcome this diffculty, we are exploring the possibility of using the names of exposed quantities to index a text corpus. This index can be used to show the most relevant text snippets in a given context. The full text can be displayed by user request and automatically scroll down to that snippet. Our approach is based on the conversion of PDF papers into machinereadable files that are indexed by a search engine. Index entries are reported as PDF annotations that are used to control the display. This workflow has been tested on the IVOA standard corpus as a proof of concept. It has then been applied to the XMM-Newtonuser guides for our catalog interface. Finally, it has been adapted to find resources within portals exposing a lot of various data collections.

LINGUISTIC CORRELATES OF SECOND LANGUAGE PROFICIENCY

2012 ◽  
Vol 34 (1) ◽  
pp. 99-126 ◽  
Author(s):  
Michael H. Long ◽  
Kira Gor ◽  
Scott Jackson
Keyword(s):  
Language Proficiency ◽  
Telephone Interview ◽  
Native Speaker ◽  
Oral Proficiency ◽  
Target Language ◽  
Proof Of Concept ◽  
Linguistic Features ◽  
Second Language Proficiency ◽  
Instructional Process ◽  
Proficiency Levels

With Russian as the target language, a proof of concept study was undertaken to determine whether it is possible to identify linguistic features, control over which is implicated in progress on the Interagency Linguistic Roundtable (ILR) proficiency scale, thereby better to inform the instructional process. Following its development in an instrumentation study, a revised version of a computer-delivered battery of 33 perception and production tasks was administered to 68 participants—57 learners between levels 2 and 3 (21 at ILR 2, 18 at 2+, and 18 at 3) on the ILR scale, and 11 native speaker controls—whose proficiency was tested via an ILR oral proficiency telephone interview. The tasks sampled subjects’ control of Russian phonology, morphology, syntax, lexis, and collocations. Relationships between control of the linguistic features and the ILR levels of interest were assessed statistically. All 33 tasks, 18 of which assessed learners’ abilities in perception and 15 of which assessed their abilities in production, were found to differentiate ILR proficiency levels 2 and 3, and a subset was found to also distinguish levels 2 and 2+, and 2+ and 3. On the basis of the results, a checklist of linguistic features pegged to proficiency levels was produced that can be useful for syllabus designers, teachers, and learners themselves as well as providing the basis for future diagnostic tests.

scholarly journals Exploring the Psychological Effects of COVID-19 Home Confinement in China: A Psycho-Linguistic Analysis on Weibo Data Pool

2021 ◽  
Vol 12 ◽  
Author(s):  
Peijing Wu ◽  
Nan Zhao ◽  
Sijia Li ◽  
Zeyu Liu ◽  
Yilin Wang ◽  
...  
Keyword(s):  
Positive Emotion ◽  
Essential Role ◽  
Linguistic Analysis ◽  
Psychological Effects ◽  
Repeated Measure ◽  
Linguistic Features ◽  
Emotion Words ◽  
Rapid Spread ◽  
Measure Analysis ◽  
Repeated Measure Analysis

BackgroundsWith the rapid spread of COVID-19, strict home confinement has been implemented in most parts of Chinese regions. Millions of people were not allowed to leave their homes except for special reasons. Home confinement plays an essential role in curbing pandemic and promoting preventive behaviors, but it may affect individuals’ mental health as well.ObjectsThe objective of this study was to explore the psychological impacts of home confinement.Materials and MethodsWe collected more than 150,360 Weibo messages from 5,370 Chinese active users, and then extracted psycho-linguistic features from these messages. Psycho-linguistic analysis was carried out using the 2 (confinement vs. non-confinement) × 2 (before vs. after confinement) repeated measure analysis of variance (RM ANOVA).ResultsThe results showed that the frequency of positive emotion words was remarkably decreased during home confinement [F(1,5368) = 7.926, p = 0.005, η2 = 0.001]. In high-endemic subgroup, home confinement also reduced the frequency of exclusion words [F(1,3445) = 4.518, p = 0.034, η2 = 0.001] and inhibition words [F(1,3445) = 10.154, p = 0.001, η2 = 0.003].ConclusionHome confinement caused a decline in the use of positive emotion words. This indicates that home confinement can increase the frequency of negative emotions. The changes of exclusion words and inhibition words in high-endemic areas may be related to the high epidemic threat and the urgent need for social distancing in these areas.

scholarly journals Even historical legends recorded in Russian: practice of transcription and commenting

2020 ◽  
pp. 62-70
Author(s):  
Yu. V. Limorenko
Keyword(s):  
Native Language ◽  
Linguistic Features ◽  
Internal Logic ◽  
Speech Styles ◽  
Syntactic Features ◽  
The Republic ◽  
Made In

This article is about the practical aspects of publishing folklore samples recorded in Russian by performers for whom Russian is not their native language. The research was based on two texts of Even historical legends collected in the Momsky ulus of the Republic of Sakha (Yakutia) from a performer who spoke to varying degrees Even, Yakut and Russian. The author has recorded the legend on audio, and then made the complete transcription of a record. Some linguistic features of texts were studied, such as using pause filler words, deviations in stress, violation of the grammatical norm, varying pronunciation of some words, mixing of speech styles and the use of words in sublime style, with the regular absence of prepositions. The author of the transcription adheres to recommendations of V. Ya. Propp on editing folklore texts: the originality of the phonetics of the text is not transmitted (this would make it difficult to read), but all the grammatical and syntactic features of the performer’s speech remain unchanged. During transcription, texts were divided into paragraphs (blocks), numbered for ease of reading and searching for comments. The punctuation marks also were placed, as well as some illegible-sounding words and some incomprehensible fragments of texts were marked. To preserve the internal logic of texts, the additions of words have been made in square brackets in some places, with additional marks. At the end of the article, the texts of both legends are published with comments made by the author of the transcription.

scholarly journals From scribe to YouTuber: A proposal to teach the History of the English Language in the digital era

2019 ◽  
Author(s):  
Paula Rodríguez-Abruñeiras ◽  
Jesús Romero-Barranco
Keyword(s):  
English Language ◽  
Research Work ◽  
Real Data ◽  
English Studies ◽  
Linguistic Features ◽  
Digital Era ◽  
Traditional Lectures ◽  
History Of ◽  
The One ◽  
Diachronic Development

The present paper deals with a proposal for enhancing students’ engagement in the course ‘History of the English Language’ of the Degree in English Studies (Universitat de València). For the purpose, the traditional lectures will be combined with a research project carried out by groups of students (research teams) in which two digital tools will be used: electronic linguistic corpora and YouTube. Electronic linguistic corpora, on the one hand, will allow students to discover the diachronic development of certain linguistic features by looking at real data and making conclusions based on frequencies by themselves. YouTube, on the other, is a most appropriate online environment where students will share a video lecture so that their classmates can benefit from the research work they did, fostering peer-to-peer learning. The expected results are to make students more autonomous in their learning process, as they will be working on their project from the very beginning of the course; and to engage them more effectively since they will be working in a format that resembles what they do at their leisure time.

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