Sökning: "text recognition"

Visar resultat 1 - 5 av 50 avhandlingar innehållade orden text recognition.

  1. 1. Tala fram texten : När barn med läs- och skrivsvårigheter skriver med tal-till-text

    Författare :Sanna Kraft; Åsa Wengelin; Karin Helgesson; Gustaf B. Skar; Göteborgs universitet; []
    Nyckelord :HUMANIORA; HUMANITIES; language; spoken language; reading and writing difficulties; writing processes; writing strategies; keystroke logging; writing tools; assistive technology; speech-to-text; speech recognition; dictation; lexical analysis; revision; text quality; expository texts; Swedish; Svenska språket Nordiska språk; written language; spoken language; reading and writing difficulties; writing processes; writing strategies; keystroke logging; writing tools; assistive technology; speech-to-text; speech recognition; dictation; lexical analysis; revision; text quality; expository text;

    Sammanfattning : Effective writing is a crucial skill that requires not only the mastery of various sub-processes but also deliberate orchestration of those sub-processes within the constraints of limited working- memory capacity. In practice, some of those sub-processes, such as transcription (spelling and handwriting), need to be automatised to free up capacity for other processes. LÄS MER

  3. 2. Document Image Processing for Handwritten Text Recognition : Deep Learning-based Transliteration of Astrid Lindgren’s Stenographic Manuscripts

    Författare :Raphaela Heil; Anders Hast; Ekta Vats; Fredrik Wahlberg; Andreas Fischer; Uppsala universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; document image processing; handwritten text recognition; stenography; strikethrough; Computerized Image Processing; Datoriserad bildbehandling;

    Sammanfattning : Document image processing and handwritten text recognition have been applied to a variety of materials, scripts, and languages, both modern and historic. They are crucial building blocks in the on-going digitisation efforts of archives, where they aid in preserving archival materials and foster knowledge sharing. LÄS MER

  4. 3. Machine-Printed and Handwritten Ethiopic Script Recognition

    Författare :Yaregal Assabie; Chalmers tekniska högskola; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; HMM; Handwriting Recognition; OCR; Direction Field Tensor; Ethiopic Character Recognition; Amharic Word Recognition; Structure Tensor;

    Sammanfattning : A written language is represented by using machine-printed or handwritten symbols called characters. For automatic recognition of written languages, handwritten script can be captured offline (by a scanner) and online (by electronic digital devices), whereas machine-printed text is captured offline. LÄS MER

  5. 4. Mining Clinical Text in Cancer Care

    Författare :Rebecka Weegar; Dalianis Hercules; Søren Brunak; Lilja Øvrelid; Stockholms universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; text mining; natural language processing; electronic health records; clinical text mining; information extraction; Computer and Systems Sciences; data- och systemvetenskap;

    Sammanfattning : Health care and clinical practice generate large amounts of text detailing symptoms, test results, diagnoses, treatments, and outcomes for patients. This clinical text, documented in health records, is a potential source of knowledge and an underused resource for improved health care. LÄS MER

  7. 5. From Disorder to Order : Extracting clinical findings from unstructured text

    Författare :Maria Skeppstedt; Hercules Dalianis; Gunnar Nilsson; Beáta Megyesi; Stockholms universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Text mining; named entity recognition; clinical language processing; Computer and Systems Sciences; data- och systemvetenskap;

    Sammanfattning : Medical disorders and findings are examples of important information in health record text. Through developing methods for automatically extracting these entities from the health record text, the possibility of making use of the information by automatic computerised processes increases. LÄS MER