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Displaying results 1 to 5 of 5.

  1. Growing trees : visualizing text genetics as sentence history during writing
    Published: 2021

    https://writinganalytics.colostate.edu more

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    Source: BASE Selection for Comparative Literature
    Language: English
    Media type: Undefined
    Format: Online
    DDC Categories: 808
    Subjects: Keystroke-logging; Writing process; Transforming sequence; Sentence history; Text history
    Rights:

    Not specified

  2. Neue Ansätze zur Auswertung von Schreibprozessdaten : Textgeschichten und Satzgeschichten
    Published: 2021
    Publisher:  ZHAW Zürcher Hochschule für Angewandte Wissenschaften

    Begutachteter Abstract 3 Seiten, Posterpräsentation more

     

    Begutachteter Abstract 3 Seiten, Posterpräsentation

     

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    Source: BASE Selection for Comparative Literature
    Language: German
    Media type: Undefined
    Format: Online
    DDC Categories: 808
    Subjects: Keystroke-logging; Writing process; Transforming sequence; Sentence history; Text history
    Rights:

    Not specified

  3. Extraction of transforming sequences and sentence histories from writing process data : a first step towards linguistic modeling of writing
    Published: 2022
    Publisher:  Springer

    Online first, part of special issue "Methods for understanding writing process by analysis of writing timecourse" Erworben im Rahmen der Schweizer Nationallizenzen (http://www.nationallizenzen.ch) ; Producing written texts is a non-linear process: in... more

     

    Online first, part of special issue "Methods for understanding writing process by analysis of writing timecourse" Erworben im Rahmen der Schweizer Nationallizenzen (http://www.nationallizenzen.ch) ; Producing written texts is a non-linear process: in contrast to speech, writers are free to change already written text at any place at any point in time. Linguistic considerations are likely to play an important role, but so far, no linguistic models of the writing process exist. We present an approach for the analysis of writing processes with a focus on linguistic structures based on the novel concepts of transforming sequences, text history, and sentence history. The processing of raw keystroke logging data and the application of natural language processing tools allows for the extraction and filtering of product and process data to be stored in a hierarchical data structure. This structure is used to re-create and visualize the genesis and history for a text and its individual sentences. Focusing on sentences as primary building blocks of written language and full texts, we aim to complement established writing process analyses and, ultimately, to interpret writing timecourse data with respect to linguistic structures. To enable researchers to explore this view, we provide a fully functional implementation of our approach as an open-source software tool and visualizations of the results. We report on a small scale exploratory study in German where we used our tool. The results indicate both the feasibility of the approach and that writers actually revise on a linguistic level. The latter confirms the need for modeling written text production from the perspective of linguistic structures beyond the word level.

     

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    Source: BASE Selection for Comparative Literature
    Language: English
    Media type: Undefined
    Format: Online
    DDC Categories: 808
    Subjects: Writing process; Keystroke-logging; Transforming sequence; Text history; Sentence history; Written text production; Linguistic modeling
    Rights:

    creativecommons.org/licenses/by/4.0/

  4. Text and sentence histories for analyzing the production of multi-word structures
    Published: 2022

    Invited talk at Université Sorbonne nouvelle in the project "ANR Pro-TEXT – Les processus de textualisation: modélisations linguistiques, psycholinguistiques et d’apprentissage automatique" https://pro-text.huma-num.fr at Clesthia, Université... more

     

    Invited talk at Université Sorbonne nouvelle in the project "ANR Pro-TEXT – Les processus de textualisation: modélisations linguistiques, psycholinguistiques et d’apprentissage automatique" pro-text.huma-num.fr at Clesthia, Université Sorbonne nouvelle (USN), CERCA, CNRS – Université de Poitiers (UdP), and LIPN, CNRS – Université Paris Nord (UPN) ; We are currently working on THETool (Text History Extraction Tool). The goal is to explore writing on a structural level (syntax in the broadest sense). We have two concrete goals for our research: (a) on a theoretical level: How do writers produce (i.e., write and revise, incl. deletion) multi-word discourse structures like: - argumentative elements ("on the one hand" -- "on the other hand") - hedges ("so to speak") - booster ("in fact") (b) on a practical level: How to support writers to use those structures effectively in academic writing (general use, variation, etc.)? With THETool we can parse keystroke-logging data and create text and sentence histories for a particular writing session. Sentence histories cover all events relevant for a particular sentence, so one can follow what the writer did even when they came back to a sentence several times. As we are interested in multi-word structures, we introduce the notion of relevant edits. This allows us to filter production and editing we are not interested in. Here that would be edits on the word level like corrections for potential typos and spelling errors. In this talk I will present the architecture and functioning of THETool and some first results for German writing sessions.

     

    Export to reference management software
    Source: BASE Selection for Comparative Literature
    Language: English
    Media type: Undefined
    Format: Online
    DDC Categories: 808
    Subjects: Transforming sequence; Multi-word structure; Text history; Sentence history; THETool; Keystroke-logging
    Rights:

    Licence according to publishing contract

  5. Satz- und Textgeschichten in Schreibprozessdaten

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    Source: BASE Selection for Comparative Literature
    Language: German
    Media type: Undefined
    Format: Online
    DDC Categories: 808
    Subjects: Writing Process; Text history; THETool; Sentence history; Keystroke-logging
    Rights:

    Not specified