Sökning: "natural language processing"

Visar resultat 1 - 5 av 108 avhandlingar innehållade orden natural language processing.

  1. 1. Steg för steg. Naturvetenskapligt ämnesspråk som räknas

    Detta är en avhandling från Göteborg : University of Gothenburg

    Författare :Judy Carola Ribeck; Göteborgs universitet.; Gothenburg University.; [2015]
    Nyckelord :SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; HUMANIORA; HUMANITIES; HUMANIORA; HUMANITIES; NATURVETENSKAP; NATURAL SCIENCES; academic language; computational linguistics; corpus linguistics; language technology; natural language processing; scientific language; subject-specific language; Swedish textbooks; quantitative stylistics; Svenska språket; Swedish;

    Sammanfattning : In this work, I present a linguistic investigation of the language of Swedish textbooks in the natural sciences, i.e., biology, physics and chemistry. The textbooks, which are used in secondary and upper secondary school, are examined with respect to traditional readability measures, e. LÄS MER

  2. 2. Representation learning for natural language

    Detta är en avhandling från ; Chalmers tekniska högskola; Gothenburg

    Författare :Olof Mogren; [2018]
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; artificial neural networks; artificial intelligence; natural language processing; deep learning; machine learning; summarization; representation learning;

    Sammanfattning : Artificial neural networks have obtained astonishing results in a diverse number of tasks. One of the reasons for the success is their ability to learn the whole task at once (endto-end learning), including the representations for data. LÄS MER

  3. 3. Word Representations for Emergent Communication and Natural Language Processing

    Detta är en avhandling från ; Chalmers tekniska högskola; Gothenburg

    Författare :Mikael Kågebäck; [2018]
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Extractive summarisation; Emergent communication; Deep reinforcement learning; Natural language processing; Word Representations; Deep learning; Machine learning; Artificial neural networks;

    Sammanfattning : The task of listing all semantic properties of a single word might seem manageable at first but as you unravel all the context dependent subtle variations in meaning that a word can encompass, you soon realize that precise mathematical definition of a word’s semantics is extremely difficult. In analogy, humans have no problem identifying their favorite pet in an image but the task of precisely defining how, is still beyond our capabilities. LÄS MER

  4. 4. Methods and Tools for Automating Language Engineering

    Detta är en avhandling från Göteborg : University of Gothenburg

    Författare :Grégoire Détrez; Göteborgs universitet.; Gothenburg University.; [2016]
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Natural language processing; Language Engineering; Morphology; Lexicon; Complexity;

    Sammanfattning : Language-processing software is becoming increasingly present in our society. Making such tools available to the greater number is not just a question of access to technology but also a question of language as they need to be adapted, or localized, to each linguistic community. LÄS MER

  5. 5. Natural language processing in cross-media analysis

    Detta är en avhandling från Umeå : Department of computing science, Umeå University

    Författare :Yonas Demeke Woldemariam; Umeå universitet.; [2018]
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NLP; cross-media analysis; sentiment analysis; competence analysis; speech recognition; Amharic; named entity recognition; machine learning; computational linguistics; Computer Science; datalogi;

    Sammanfattning : A cross-media analysis framework is an integrated multi-modal platform where a media resource containing different types of data such as text, images, audio and video is analyzed with metadata extractors, working jointly to contextualize the media resource. It generally provides cross-media analysis and automatic annotation, metadata publication and storage, searches and recommendation services. LÄS MER