scholarly journals A Comparative-Contrastive Analysis of Corpus Tools (Case Study: Working with Corpora of Cinematic Discourse)

Author(s):  
Nadezhda Shamova ◽  

A broad scope of application of corpus technologies indicates their importance in applied linguistics. Employing the comparative-contrastive method and the method of computer analysis, the author seeks to compare and contrast the main corpus tools of the programs Sketch Engine, AntConc, and WordSmith Tools, focusing on texts from specialized periodicals about cinematography ‘Total Film’ and ‘American Cinematographer’ for 2019–2020. The primary goal of this comparison is to provide recommendations for optimal choice of tools and programs for obtaining certain types of information. The author processed the total volume of texts that contained over 900,000 words, using the functions “concordance”, “word list”, “collocations” + “word s etch”, “N-grams”, “keywords” in Sketch Engine and AntConc (Word-Smith Tools has only “concordance”, “wordlist,” and “keywords”). Information about specific tools available in various corpora is collected and presented in a specially developed table. Different software programs described in the article have functions that perform the same tasks, but there are some differences in how data is presented. Among the software programs featured in this case study, the Sketch Engine platform gives the most options for choosing personal settings. The “concordance” function shows the word in context, “Wordlist” shows all the words on a given list with a record of their frequency in the corpus. The “collocation” function (or “word s etch”) recognizes fixed expressions, “N-grams” finds phrases that comprise a certain number of elements, while the “ eywords” function allows users to identify words that are specific to a particular subject area. Information thus obtained from the corpora may be helpful in updating English LSP dictionaries and glossaries of cinematography. The theoretical significance of the present study lies in systematizing the material about existing corpus tools, while its practical value is in using the tools of three corpus programs for the study of cinematic discourse, understood here as language used by the community of movie goers and filmmakers in their discussions of cinematography in specialized periodicals ‘Total Film’ and ‘American Cinematographer’.

2020 ◽  
Vol 29 (4) ◽  
pp. 2049-2067
Author(s):  
Karmen L. Porter ◽  
Janna B. Oetting ◽  
Loretta Pecchioni

Purpose This study examined caregiver perceptions of their child's language and literacy disorder as influenced by communications with their speech-language pathologist. Method The participants were 12 caregivers of 10 school-aged children with language and literacy disorders. Employing qualitative methods, a collective case study approach was utilized in which the caregiver(s) of each child represented one case. The data came from semistructured interviews, codes emerged directly from the caregivers' responses during the interviews, and multiple coding passes using ATLAS.ti software were made until themes were evident. These themes were then further validated by conducting clinical file reviews and follow-up interviews with the caregivers. Results Caregivers' comments focused on the types of information received or not received, as well as the clarity of the information. This included information regarding their child's diagnosis, the long-term consequences of their child's disorder, and the connection between language and reading. Although caregivers were adept at describing their child's difficulties and therapy goals/objectives, their comments indicated that they struggled to understand their child's disorder in a way that was meaningful to them and their child. Conclusions The findings showed the value caregivers place on receiving clear and timely diagnostic information, as well as the complexity associated with caregivers' understanding of language and literacy disorders. The findings are discussed in terms of changes that could be made in clinical practice to better support children with language and literacy disorders and their families.


Corpora ◽  
2020 ◽  
Vol 15 (2) ◽  
pp. 125-140
Author(s):  
Yukiko Ohashi ◽  
Noriaki Katagiri ◽  
Katsutoshi Oka ◽  
Michiko Hanada

This paper reports on two research results: ( 1) designing an English for Specific Purposes (esp) corpus architecture complete with annotations structured by regular expressions; and ( 2) a case study to test the design to cater for creating a specific vocabulary list using the compiled corpus. The first half of this study involved designing a precisely structured esp corpus from 190 veterinary medical charts with a hierarchy of the data. The data hierarchy in the corpus consists of document types, outline elements and inline elements, such as species and breed. Perl scripts extracted the data attached to veterinary-specific categories, and the extraction led to creating wordlists. The second part of the research tested the corpus mode, creating a list of commonly observed lexical items in veterinary medicine. The coverage rate of the wordlists by General Service List (gsl) and Academic Word List (awl) was tested, with the result that 66.4 percent of all lexical items appeared in gsl and awl, whereas 33.7 percent appeared in none of those lists. The corpus compilation procedures as well as the annotation scheme introduced in this study enable the compilation of specific corpora with explicit annotations, allowing teachers to have access to data required for creating esp classroom materials.


Author(s):  
Kaye Chalwell ◽  
Therese Cumming

Radical subject acceleration, or moving students through a subject area faster than is typical, including skipping grades, is a widely accepted approach to support students who are gifted and talented. This is done in order to match the student’s cognitive level and learning needs. This case study explored radical subject acceleration for gifted students by focusing on one school’s response to the learning needs of a ten year old mathematically gifted student. It provides insight into the challenges, accommodations and approach to radical subject acceleration in an Australian school. It explored the processes and decisions made to ensure that a gifted student’s learning needs were met and identified salient issues for radical subject acceleration. Lessons learned from this case study may be helpful for schools considering radical acceleration.


Public Voices ◽  
2016 ◽  
Vol 11 (1) ◽  
pp. 89
Author(s):  
Amy Probsdorfer Kelley ◽  
John C. Morris

The process to win approval to build a national memorial on the National Mall inWashington, DC is both long and complex. Many memorials are proposed, but few are chosen to inhabit the increasingly scarce space available on the Mall. Through the use of network analysis we compare and contrast two memorial proposals, with an eye toward understanding why one proposal was successful while the other seems to have failed. We conclude that the success of a specific memorial has less to do with the perceived popularity of the person or event to be memorialized, and more to do with how the sponsors use the network of people and resources available to advocate for a given proposal.


2015 ◽  
Vol 4 (1) ◽  
pp. 74-86
Author(s):  
Paul Custance ◽  
Keith Walley ◽  
Gaynor Tate ◽  
Goksel Armagan

The purpose of the article is to provide insight into care farming and the role that it may play in agriltural multifunctionality. The paper outlines three case studies of care farming in the UK to compare and contrast the roles that such organizations may play in multifunctional agriculture. Although the work has the obvious limitation of being based on case-study care farms that are based in the UK, the findings are sufficiently generic to serve as valuable learning material for those interested in the subject and located anywhere in the world. The main finding from this study is that care farming can take many different forms but still contribute to agricultural multifunctionality. The study also confirms the important roles that economic support and favourable legislation play in successful care farming. The paper concludes that care farming is a legitimate form of agricultural multifunctionality but reminds those interested in setting up or promoting care farms of the need for a supportive economic and legislative environment. The paper provides contemporary insight into the concept of care farming as a form of agricultural multifunctionality. A number of generic points are made that should be of value to an international audience of academics researching in this area as well as students studying care farming and agricultural multifunctionality, farmers considering diversifying into care farming and politicians working to create a political and economic environment that may support care farms.


2021 ◽  
pp. 001312452110275
Author(s):  
Meredith R. Naughton

This qualitative case study explored the unique ways recent college graduates serving as full-time, near-peer mentors supported students along the path to college in three different urban public high schools. By applying the theory of figured worlds to school spaces and practices, this study sought to both define the physical and figurative ways mentors helped students envision and enact college-bound identities and compare and contrast the differences in these spaces across schools. Data and thematic analysis indicate that promoting the development and enactment of college-bound identities requires intentionality about how school culture, people, and policies enable real and figurative spaces for college-bound exploration and support.


2012 ◽  
Vol 2 (8) ◽  
pp. 1-9
Author(s):  
Saroj Koul

Subject area Operations and human resourcing. Study level/applicability This case study is intended for use in graduate, executive level management and doctoral programs. The case study illustrates a combined IT and HR driven participative management control system in a flexible organization structure. It is intended for a class discussion rather than to illustrate either effective or ineffective handling of an administrative situation. Case overview The case describes the situation of managing unskilled workforces (≥14,000 workers) during the construction phase of the 4 × 250MW power plants both for purposes of turnout as well as due compensation, in the event of an accident. The approved labour forces appointed for 45 × 8 h. Man-days after a rigorous fitness test and approvals of the safety officer are allocated housing and other necessary amenities and a commensurate compensation system. Expected learning outcomes These include: illustrating typical organizational responsibility structure at a construction site of a large power plant; illustrating the planning and administrative control mechanism in implementing strategy at a construction site of a large power plant; offering students the opportunity to understand and view a typical operational (project) structure; allowing students to speculate adaptations in the wake of an ever-changing business and company environment; and providing an opportunity to introduce a power scenario in India, Indian labour laws and radio frequency identification technology and to relate this to the case in context. Supplementary materials Teaching notes are available; please consult your librarian for access.


2021 ◽  
pp. 004728752110247
Author(s):  
Vinh Bui ◽  
Ali Reza Alaei ◽  
Huy Quan Vu ◽  
Gang Li ◽  
Rob Law

Understanding and being able to measure, analyze, compare, and contrast the image of a tourism destination, also known as tourism destination image (TDI), is critical in tourism management and destination marketing. Although various methodologies have been developed, a consistent, reliable, and scalable method for measuring TDI is still unavailable. This study aims to address the challenge by proposing a framework for a holistic measure of TDI in four dimensions, including popularity, sentiment, time, and location. A structural model for TDI measurement that covers various aspects of a tourism destination is developed. TDI is then measured by a comprehensive computational framework that can analyze complex textual and visual data on a large scale. A case study using more than 30,000 images, and 10,000 comments in relation to three tourism destinations in Australia demonstrates the effectiveness of the proposed framework.


2008 ◽  
Vol 13 (3) ◽  
pp. 368-385 ◽  
Author(s):  
Elena Manca

This paper aims to describe the phraseology associated with adjectives in the language of tourism. The adjectives appearing in the word list of a British farmhouse holidays corpus were grouped into three different semantic fields (‘description of rooms’, ‘description of surroundings’, and ‘description of food’) and from which their collocational profiles were then identified. In order to compare and contrast the Italian and the British languages of tourism, we searched an Italian comparable agriturismi corpus for items that are used to describe rooms, food, and surroundings. The results are discussed with reference to Sinclair’s theories on the influence of context and register on language choices (Sinclair 1991), and Hall’s theory of high vs. low context cultures (Hall 1976, 1989; Katan 2003). This analysis shows that the language of tourism is highly phraseological. It also gives insights into some differences and similarities between English and Italian in terms of ‘language systems’ and cultural orientations.


Author(s):  
Erma Susanti ◽  
Khabib Mustofa

AbstrakEkstraksi  informasi  merupakan suatu bidang ilmu untuk pengolahan bahasa alami, dengan cara mengubah teks tidak terstruktur menjadi informasi dalam bentuk terstruktur. Berbagai jenis informasi di Internet ditransmisikan secara tidak terstruktur melalui website, menyebabkan munculnya kebutuhan akan suatu teknologi untuk menganalisa teks dan menemukan pengetahuan yang relevan dalam bentuk informasi terstruktur. Contoh informasi tidak terstruktur adalah informasi utama yang ada pada konten halaman web. Bermacam pendekatan untuk ekstraksi informasi telah dikembangkan oleh berbagai peneliti, baik menggunakan metode manual atau otomatis, namun masih perlu ditingkatkan kinerjanya terkait akurasi dan kecepatan ekstraksi. Pada penelitian ini diusulkan suatu penerapan pendekatan ekstraksi informasi dengan mengkombinasikan pendekatan bootstrapping dengan Ontology-based Information Extraction (OBIE). Pendekatan bootstrapping dengan menggunakan sedikit contoh data berlabel, digunakan untuk memimalkan keterlibatan manusia dalam proses ekstraksi informasi, sedangkan penggunakan panduan ontologi untuk mengekstraksi classes (kelas), properties dan instance digunakan untuk menyediakan konten semantik untuk web semantik. Pengkombinasian kedua pendekatan tersebut diharapkan dapat meningkatan kecepatan proses ekstraksi dan akurasi hasil ekstraksi. Studi kasus untuk penerapan sistem ekstraksi informasi menggunakan dataset “LonelyPlanet”. Kata kunci—Ekstraksi informasi, ontologi, bootstrapping, Ontology-Based Information Extraction, OBIE, kinerja Abstract Information extraction is a field study of natural language processing by converting unstructured text into structured information. Several types of information on the Internet is transmitted through unstructured information via websites, led to emergence of the need a technology to analyze text and found relevant knowledge into structured information. For example of unstructured information is existing main information on the content of web pages. Various approaches  for information extraction have been developed by many researchers, either using manual or automatic method, but still need to be improved performance related accuracy and speed of extraction. This research proposed an approach of information extraction that combines bootstrapping approach with Ontology-Based Information Extraction (OBIE). Bootstrapping approach using small seed of labelled data, is used to minimize human intervention on information extraction process, while the use of guide ontology for extracting classes, properties and instances, using for provide semantic content for semantic web. Combining both approaches expected to increase speed of extraction process and accuracy of extraction results. Case study to apply information extraction system using “LonelyPlanet” datasets. Keywords— Information extraction, ontology, bootstrapping, Ontology-Based Information Extraction, OBIE, performance


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