A corpus-based study of academic word use in EFL student writing

2020 ◽  
pp. 10-32
Author(s):  
Enikó Csomay
Keyword(s):  
Student Writing ◽  
Word Use

scholarly journals Narrative Writing in Digital Formats: Interpreting the Impact of Audience

2015 ◽  
Vol 19 (3) ◽  
pp. 201-221 ◽  
Author(s):  
Joshua Fahey Lawrence ◽  
Melissa Niiya ◽  
March Warschauer
Keyword(s):  
Identity Formation ◽  
Student Writing ◽  
Writing Fluency ◽  
Digital Writing ◽  
Word Use ◽  
Writing Environments ◽  
Eighth Grade Students ◽  
Digital Formats ◽  
Global And Local ◽  
The Impact

Abstract Digital writing has enabled students to write for a variety of authentic audiences, both in and out of the classroom. As they consider audience, students shoulder a cognitive burden that they must juggle in addition to the task of composition. At the same time, writing provides students with opportunities to craft and express their identities. The ways that identity formation and cognitive load intersect may be particularly complex in digital, online writing environments, as students gain the ability to share and receive feedback from global and local audiences. In this counterbalanced experimental study, 86 seventh- and eighth-grade students responded to two narrative prompts. One prompt was written for the teacher and the other was written for the teacher and peers in an online forum. We examined student writing fluency, mechanical errors, academic word use, and setting. Students were found to be more likely to set narratives in private settings when writing for an audience that included peers. We discuss this finding from cognitive and sociocultural perspectives and how it might inform networked communication research.

Analyzing Language in Suicide Notes and Legacy Tokens

Crisis ◽  
2016 ◽  
Vol 37 (2) ◽  
pp. 140-147 ◽  
Author(s):  
Michael J. Egnoto ◽  
Darrin J. Griffin
Keyword(s):  
Text Analysis ◽  
Low Cost ◽  
Computer Software ◽  
Student Writing ◽  
Computer Assisted ◽  
Automated Identification ◽  
Completed Suicide ◽  
Suicide Notes ◽  
Self Harm ◽  
Harm To Others

Abstract. Background: Identifying precursors that will aid in the discovery of individuals who may harm themselves or others has long been a focus of scholarly research. Aim: This work set out to determine if it is possible to use the legacy tokens of active shooters and notes left from individuals who completed suicide to uncover signals that foreshadow their behavior. Method: A total of 25 suicide notes and 21 legacy tokens were compared with a sample of over 20,000 student writings for a preliminary computer-assisted text analysis to determine what differences can be coded with existing computer software to better identify students who may commit self-harm or harm to others. Results: The results support that text analysis techniques with the Linguistic Inquiry and Word Count (LIWC) tool are effective for identifying suicidal or homicidal writings as distinct from each other and from a variety of student writings in an automated fashion. Conclusion: Findings indicate support for automated identification of writings that were associated with harm to self, harm to others, and various other student writing products. This work begins to uncover the viability or larger scale, low cost methods of automatic detection for individuals suffering from harmful ideation.

KEMAMPUAN MAHASISWA PGSD FKIP UNIVERSITAS RIAU DALAM MENULIS SURAT RESMI

2017 ◽  
Vol 6 (1) ◽  
pp. 15
Author(s):  
Otang Kurniaman ◽  
Muhammad Nailul Huda ◽  
Eddy Noviana
Keyword(s):  
Data Collection ◽  
Primary School ◽  
Quantitative Research ◽  
Student Writing ◽  
Instrument Validity ◽  
School Teaching ◽  
Faculty Of Education ◽  
Destination Address ◽  
Instrument Observation ◽  
Observation Results

The research is descriptive quantitative research conducted to look at the ability of students in the class of 2014 to write a formal letter, a technique in data collection in the form of observation results by student writing an official letter PGSD FKIP Riau University class of 2014 instrument validity of his research has been validated through expert judgment. The sample in this study as masy as 46 students of primary school teaching force in 2014 the Faculty of Education, University of Riau. The ability of students PGSD FKIP Riau University after analyzed using categories, from 12 aspects outlined in the instrument observation sheets, getting the results that the completeness aspect predicate section of the letter simply by percentage (65, 76%), while the writing aspect letterhead good predicate with percentage (79,89%), while the aspect of writing an official letter dated sufficient predicate with percentage (54, 35%), while the aspect of writing about the letter predicate less by percentage (35, 87%), while the writing aspect of the destination address with sufficient predicate persentage (59, 78%), while the aspect of writing greeting predicate simply by percentage (54,35%), while the contents of the letter writing aspect predicate simply by percentage (63,04%), while the writing aspect regards predicate cover less by percentage (42, 93%), while in writing the name of the sender predicate very well with percentage (98, 91%), while the use of indonesioan predicate either by percentage (71, 74%), while in the aspect of the preparation of sufficient premises sentence predicate percentage (58,15%) and on aspects of the form or neatness letter predicate simply by percentage (58, 15%). From the results, the average overall percentage of 61, 91% is obtained with neough categories, this suggests that the ability of students PGSD class of 2014 FKIP University of Riau still low in writing a formal letter.

ASPECTS OF LEXICAL COLLOCATION OF HIGH-DEGREE WORDS ‘SILNIY’, ‘KREPKIY’, ‘ZHELEZNIY’

2020 ◽  
pp. 263-280
Author(s):  
M. V. Voronets ◽  
Keyword(s):  
Second Language ◽  
Russian Language ◽  
Semantic Features ◽  
Word Use ◽  
High Degree ◽  
The Russian Language

This study examines the lexical compatibility of high-degree words in the Russian language, specifically ‘silniy’ (strong), ‘krepkiy’ (hard), ‘zhelezniy’ (strong as iron), which have similar meanings. By comparing the dictionary meanings of a word and analyzing their compatibility, researches can specify its semantic features and explain the collocation limitations. The results can be used to develop the proper recommendations on the word use and exercises for the learners of Russian as a second language.

RepPer: Perception of Psychiatric Disorders on Twitter in French (Preprint)

2020 ◽  
Author(s):  
Sarah Delanys ◽  
Farah Benamara ◽  
Véronique Moriceau ◽  
François Olivier ◽  
Josiane Mothe
Keyword(s):  
Social Media ◽  
Psychiatric Disorders ◽  
Digital Technology ◽  
Psychotic Disorders ◽  
Negative Polarity ◽  
Machine Learning Algorithms ◽  
Annotation Scheme ◽  
Word Use ◽  
Wide Range ◽  
Initial Dataset

BACKGROUND With the advent of digital technology and specifically user generated contents in social media, new ways emerged for studying possible stigma of people in relation with mental health. Several pieces of work studied the discourse conveyed about psychiatric pathologies on Twitter considering mostly tweets in English and a limited number of psychiatric disorders terms. This paper proposes the first study to analyze the use of a wide range of psychiatric terms in tweets in French. OBJECTIVE Our aim is to study how generic, nosographic and therapeutic psychiatric terms are used on Twitter in French. More specifically, our study has three complementary goals: (1) to analyze the types of psychiatric word use namely medical, misuse, irrelevant, (2) to analyze the polarity conveyed in the tweets that use these terms (positive/negative/neural), and (3) to compare the frequency of these terms to those observed in related work (mainly in English ). METHODS Our study has been conducted on a corpus of tweets in French posted between 01/01/2016 to 12/31/2018 and collected using dedicated keywords. The corpus has been manually annotated by clinical psychiatrists following a multilayer annotation scheme that includes the type of word use and the opinion orientation of the tweet. Two analysis have been performed. First a qualitative analysis to measure the reliability of the produced manual annotation, then a quantitative analysis considering mainly term frequency in each layer and exploring the interactions between them. RESULTS One of the first result is a resource as an annotated dataset . The initial dataset is composed of 22,579 tweets in French containing at least one of the selected psychiatric terms. From this set, experts in psychiatry randomly annotated 3,040 tweets that corresponds to the resource resulting from our work. The second result is the analysis of the annotations; it shows that terms are misused in 45.3% of the tweets and that their associated polarity is negative in 86.2% of the cases. When considering the three types of term use, 59.5% of the tweets are associated to a negative polarity. Misused terms related to psychotic disorders (55.5%) are more frequent to those related to mood disorders (26.5%). CONCLUSIONS Some psychiatric terms are misused in the corpora we studied; which is consistent with the results reported in related work in other languages. Thanks to the great diversity of studied terms, this work highlighted a disparity in the representations and ways of using psychiatric terms. Moreover, our study is important to help psychiatrists to be aware of the term use in new communication media such as social networks which are widely used. This study has the huge advantage to be reproducible thanks to the framework and guidelines we produced; so that the study could be renewed in order to analyze the evolution of term usage. While the newly build dataset is a valuable resource for other analytical studies, it could also serve to train machine learning algorithms to automatically identify stigma in social media.

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