Search for dissertations about: "Språkteknologi"

Showing result 1 - 5 of 117 swedish dissertations containing the word Språkteknologi.

  2. 1. Developing and Evaluating Language Tools for Writers and Learners of Swedish

    Author : Ola Knutsson; Kerstin Severinson Eklundh; Viggo Kann; Teresa Cerratto Pargman; Lars Ahrenberg; KTH; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; interactive learning systems; error; feedback; human-computer interaction; grammar checking; grammaticality judgments; parsing; second language learning; Swedish; evaluation; user studies; language technology; computer assisted language learning; writing; language tools; interaktiva lärsystem; fel; återkoppling; grammatikkontroll; språkverktyg; människa-datorinteraktion; skrivande; andraspråksinlärning; grammatikalitetsbedömning; parsning; Language technology; Språkteknologi;

    Abstract : Skrivande och skrivet språk är idag en viktig del av många människors liv, i datorns ordbehandlare, i e-postprogram och i chattkanaler på Internet. Skrivet språk har blivit mer eller mindre en förutsättning för människors dagliga kommunikation. Denna utveckling av samhället leder till ökade behov av att på olika sätt hantera text. READ MORE

  4. 2. MaltParser -- An Architecture for Inductive Labeled Dependency Parsing

    Author : Johan Hall; Joakim Nivre; Welf Löwe; Martin Volk; Växjö universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Dependency Parsing; Support Vector Machines; Machine Learning; Language technology; Språkteknologi; Computer and Information Sciences Computer Science; Data- och informationsvetenskap;

    Abstract : This licentiate thesis presents a software architecture for inductive labeled dependency parsing of unrestricted natural language text, which achieves a strict modularization of parsing algorithm, feature model and learning method such that these parameters can be varied independently. The architecture is based on the theoretical framework of inductive dependency parsing by Nivre \citeyear{nivre06c} and has been realized in MaltParser, a system that supports several parsing algorithms and learning methods, for which complex feature models can be defined in a special description language. READ MORE

  5. 3. Computer support for learners of spoken English

    Author : Rebecca Hincks; David House; Robert H. McAllisster; KTH; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Language technology; Språkteknologi;

    Abstract : This thesis concerns the use of speech technology to support the process of learning the English language. It applies theories of computer-assisted language learning and second language acquisition to address the needs of beginning, intermediate and advanced students of English for specific purposes. READ MORE

  6. 4. Modelling Phone-Level Pronunciation in Discourse Context

    Author : Per-Anders Jande; Rolf Carlson; Merle Horne; KTH; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Pronunciation modelling; Pronunciation variation; Discourse-context; Phone-level variation; Central standard Swedish; Spoken language annotation; Data-driven methods; Machine learning; Decision trees; Pronunciation lexicon development; Machine-readable lexicon; Phonology; Discourse; Lexicon; Language technology; Språkteknologi;

    Abstract : Analytic knowledge about the systematic variation in a language has an important place in the description of the language. Such knowledge is interesting e.g. in the language teaching domain, as a background for various types of linguistic studies, and in the development of more dynamic speech technology applications. READ MORE

  7. 5. Tree Transformations in Inductive Dependency Parsing

    Author : Jens Nilsson; Joakim Nivre; Pierre Nugues; Växjö universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Inductive Dependency Parsing; Dependency Structure; Tree Transformation; Non-projectivity; Coordination; Verb Group; Language technology; Språkteknologi; Computer and Information Sciences Computer Science; Data- och informationsvetenskap;

    Abstract : This licentiate thesis deals with automatic syntactic analysis, or parsing, of natural languages. A parser constructs the syntactic analysis, which it learns by looking at correctly analyzed sentences, known as training data. The general topic concerns manipulations of the training data in order to improve the parsing accuracy. READ MORE