Sökning: "part-of-speech tagger"

Hittade 4 uppsatser innehållade orden part-of-speech tagger.

  1. 1. Natural Language Processing Model for Maltese Syntax

    Magister-uppsats, Göteborgs universitet/Institutionen för filosofi, lingvistik och vetenskapsteori

    Författare :Greta Attard; [2021-10-08]
    Nyckelord :natural language processing; syntax; spaCy; universal dependency; dependency parser; part-of-speech tagger; maltese nlp pipeline;

    Sammanfattning : The objective of this thesis is to create a Natural Language Processing Model for theMaltese Language. The ultimate goal is that the model would be able to recognise syntactical features, that is the linguistic features and the relationship of a sequence of words, in Maltese. LÄS MER

  2. 2. Neural Networks for Part-of-Speech Tagging

    Kandidat-uppsats, Linköpings universitet/Institutionen för datavetenskap

    Författare :Wiktor Strandqvist; [2016]
    Nyckelord :artificial neural network; part-of-speech tagging; language technology;

    Sammanfattning : The aim of this thesis is to explore the viability of artificial neural networks using a purely contextual word representation as a solution for part-of-speech tagging. Furthermore, the effects of deep learning and increased contextual information of the network are explored. LÄS MER

  3. 3. Genetic Algorithms in the Brill Tagger : Moving towards language independence

    Magister-uppsats, Stockholms universitet/Avdelningen för datorlingvistik

    Författare :Johannes Bjerva; [2013]
    Nyckelord :Genetic Algorithms; Language Independent Part-of-Speech Tagging; Transformation-Based Learning; Genetiska Algoritmer; Språkoberoende Ordklasstaggning; Transformationsbaserad Inlärning; Genetiske Algoritmer; Språkuavhengig Ordklasstagging; Transformasjonsbasert Innlæring;

    Sammanfattning : The viability of using rule-based systems for part-of-speech tagging was revitalised when a simple rule-based tagger was presented by Brill (1992). This tagger is based on an algorithm which automatically derives transformation rules from a corpus, using an error-driven approach. LÄS MER

  4. 4. Named Entity Recognition with Support Vector Machines

    Master-uppsats, KTH/Skolan för datavetenskap och kommunikation (CSC)

    Författare :JOEL MICKELIN; [2013]
    Nyckelord :;

    Sammanfattning : This report describes a degree project in Computer Science, the aim of which was to construct a system for Named Entity Recognition in Swedish texts of names of people, locations and organizations, as well as expressions for time. This system was constructed from the part-of-speech tagger Granska and the Support Vector Machine system SVMlin. LÄS MER