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"Creative writing Data processing."
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Uncreative writing
Can techniques traditionally thought to be outside the scope of literature, including word processing, databasing, identity ciphering, and intensive programming, inspire the reinvention of writing? The Internet and the digital environment present writers with new challenges and opportunities to reconceive creativity, authorship, and their relationship to language. Confronted with an unprecedented amount of texts and language, writers have the opportunity to move beyond the creation of new texts and manage, parse, appropriate, and reconstruct those that already exist. In addition to explaining his concept of uncreative writing, which is also the name of his popular course at the University of Pennsylvania, Goldsmith reads the work of writers who have taken up this challenge. Examining a wide range of texts and techniques, including the use of Google searches to create poetry, the appropriation of courtroom testimony, and the possibility of robo-poetics, Goldsmith joins this recent work to practices that date back to the early twentieth century. Writers and artists such as Walter Benjamin, Gertrude Stein, James Joyce, and Andy Warhol embodied an ethos in which the construction or conception of a text was just as important as the resultant text itself. By extending this tradition into the digital realm, uncreative writing offers new ways of thinking about identity and the making of meaning.
eBook
The impact of AI-enhanced natural language processing tools on writing proficiency: an analysis of language precision, content summarization, and creative writing facilitation
Artificial intelligence is revolutionizing the education landscape and has been widely applied to language teaching and learning. This study investigates the transformative potential of AI-driven Natural Language Processing (NLP) tools in enhancing writing proficiency, focusing on language precision, content summarization, and creative writing facilitation. Through a meticulously designed experimental setup and a robust theoretical framework that integrates cognitive, sociocultural, human-computer interaction (HCI), and user experience (UX) design theories, the research examines how AI technologies can enhance writing skills, particularly in the context of English as a Foreign Language (EFL) education. By implementing tailored interventions and utilizing a diverse range of AI-powered tools, participants engage in targeted activities to refine various aspects of writing. The study employs a pretest-posttest design with participant random assignment to assess the effectiveness of the interventions. Data analysis includes a combination of descriptive statistics, inferential tests, and qualitative feedback analysis to evaluate writing proficiency enhancements and learners’ perceptions. The findings reveal that the group receiving treatment to improve Language Precision through the use of AI-enhanced tools for grammar checking, vocabulary enhancement, and sentence structure refinement demonstrated superior improvements in writing proficiency compared to other groups. Theoretically, this study elucidates how AI-driven NLP tools influence writing proficiency by integrating cognitive, sociocultural, HCI, and UX theories. Pedagogically, it provides insights for instructional practices by illustrating how AI tools can enhance language precision, content summarization, and creative writing, with an emphasis on personalized learning experiences.
Journal Article
Composition in Convergence
Composition in Convergence: The Impact of New Media on Writing Assessment considers how technological forms--such as computers and online courses--transform the assessment of writing, in addition to text classroom activity. Much has been written on how technology has affected writing, but assessment has had little attention. In this book, author Diane Penrod examines how, on the one hand, computer technology and interactive material create a disruption of conventional literacy practices (reading, writing, interpreting, and critique), while, on the other hand, the influence of computers allows teachers to propose and develop new models for thinking and writing to engage students in real-world settings.This text is intended for scholars and educators in writing and composition, educational assessment, writing and technology, computers and composition, and electronic literacy. In addition, it is appropriate for graduate students planning to teach and assess electronic writing or teach in online environments.
eBook
Corpus-based approaches to metaphor and metonymy
The series publishes state-of-the-art work on core areas of linguistics across theoretical frameworks as well as studies that provide new insights by building bridges to neighbouring fields such as neuroscience and cognitive science. The series considers itself a forum for cutting-edge research based on solid empirical data on language in its various manifestations, including sign languages. It regards linguistic variation in its synchronic and diachronic dimensions as well as in its social contexts as important sources of insight for a better understanding of the design of linguistic systems and the ecology and evolution of language.
eBook
Composing(media) = composing(embodiment): bodies, technologies, writing, the teaching of writing
\"What any body is-and is able to do-cannot be disentangled from the media we use to consume and produce texts.\" ---from the Introduction.Kristin Arola and Anne Wysocki argue that composing in new media is composing the body-is embodiment. In Composing (Media) = Composing (Embodiment), they havebrought together a powerful set of essays that agree on the need for compositionists-and their students-to engage with a wide range of new media texts. These chapters explore how texts of all varieties mediate and thereby contribute to the human experiences of communication, of self, the body, and composing. Sample assignments and activities exemplify how this exploration might proceed in the writing classroom.Contributors here articulate ways to understand how writing enables the experience of our bodies as selves, and at the same time to see the work of (our) writing in mediating selves to make them accessible to institutional perceptions and constraints. These writers argue that what a body does, and can do, cannot be disentangled from the media we use, nor from the times and cultures and technologies with which we engage. To the discipline of composition, this is an important discussion because it clarifies the impact/s of literacy on citizens, freedoms, and societies. To the classroom, it is important because it helps compositionists to support their students as they enact, learn, and reflect upon their own embodied and embodying writing.
eBook
Handwritten stenography recognition and the LION dataset
In this paper, we establish the first baseline for handwritten stenography recognition, using the novel LION dataset, and investigate the impact of including selected aspects of stenographic theory into the recognition process. We make the LION dataset publicly available with the aim of encouraging future research in handwritten stenography recognition. A state-of-the-art text recognition model is trained to establish a baseline. Stenographic domain knowledge is integrated by transforming the target sequences into representations which approximate diplomatic transcriptions, wherein each symbol in the script is represented by its own character in the transliteration, as opposed to corresponding combinations of characters from the Swedish alphabet. Four such encoding schemes are evaluated and results are further improved by integrating a pre-training scheme, based on synthetic data. The baseline model achieves an average test character error rate (CER) of 29.81% and a word error rate (WER) of 55.14%. Test error rates are reduced significantly (
p
< 0.01) by combining stenography-specific target sequence encodings with pre-training and fine-tuning, yielding CERs in the range of 24.5–26% and WERs of 44.8–48.2%. An analysis of selected recognition errors illustrates the challenges that the stenographic writing system poses to text recognition. This work establishes the first baseline for handwritten stenography recognition. Our proposed combination of integrating stenography-specific knowledge, in conjunction with pre-training and fine-tuning on synthetic data, yields considerable improvements. Together with our precursor study on the subject, this is the first work to apply modern handwritten text recognition to stenography. The dataset and our code are publicly available via Zenodo.
Journal Article
Handbook of Automated Essay Evaluation
This comprehensive, interdisciplinary handbook reviews the latest methods and technologies used in automated essay evaluation (AEE) methods and technologies. Highlights include the latest in the evaluation of performance-based writing assessments and recent advances in the teaching of writing, language testing, cognitive psychology, and computational linguistics. This greatly expanded follow-up to Automated Essay Scoring reflects the numerous advances that have taken place in the field since 2003 including automated essay scoring and diagnostic feedback. Each chapter features a common structure including an introduction and a conclusion. Ideas for diagnostic and evaluative feedback are sprinkled throughout the book.
Highlights of the book's coverage include:
The latest research on automated essay evaluation.
Descriptions of the major scoring engines including the E-rater®, the Intelligent Essay Assessor, the Intellimetric™ Engine, c-rater™, and LightSIDE.
Applications of the uses of the technology including a large scale system used in West Virginia.
A systematic framework for evaluating research and technological results.
Descriptions of AEE methods that can be replicated for languages other than English as seen in the example from China.
Chapters from key researchers in the field.
The book opens with an introduction to AEEs and a review of the \"best practices\" of teaching writing along with tips on the use of automated analysis in the classroom. Next the book highlights the capabilities and applications of several scoring engines including the E-rater®, the Intelligent Essay Assessor, the Intellimetric™ engine, c-rater™, and LightSIDE. Here readers will find an actual application of the use of an AEE in West Virginia, ps
eBook
The application of artificial intelligence in film and television script creation
This study discusses the application of artificial intelligence in film and television script creation, and analyzes the potential and challenges in script generation, plot construction and role development through machine learning and natural language processing technology. This paper constructs a script generation model based on deep neural network, and combines a large number of film and television script data to train and optimize the script structure, language expression and emotional expression. The model can generate a short script with certain creativity and structure, which shows an ideal effect in fluency and accuracy. The model has some shortcomings in the creation of long scripts, the handling of complex plots and the expression of emotional levels. In order to solve these problems, future research will focus on improving the model’s ability in complex plot processing and emotional expression, and optimizing the calculation efficiency and generation quality. The research results provide a preliminary empirical basis for the application of artificial intelligence technology in creative industries, and provide a new direction for technological innovation and practical exploration in the field of script creation.
Journal Article
Reading Machines
Besides familiar and now-commonplace tasks that computers do all the time, what else are they capable of? Stephen Ramsay's intriguing study of computational text analysis examines how computers can be used as \"reading machines\" to open up entirely new possibilities for literary critics. Computer-based text analysis has been employed for the past several decades as a way of searching, collating, and indexing texts. Despite this, the digital revolution has not penetrated the core activity of literary studies: interpretive analysis of written texts._x000B__x000B_Computers can handle vast amounts of data, allowing for the comparison of texts in ways that were previously too overwhelming for individuals, but they may also assist in enhancing the entirely necessary role of subjectivity in critical interpretation. Reading Machines discusses the importance of this new form of text analysis conducted with the assistance of computers. Ramsay suggests that the rigidity of computation can be enlisted by intuition, subjectivity, and play.
eBook