Search for dissertations about: "Computational linguistics"
Showing result 6 - 10 of 66 swedish dissertations containing the words Computational linguistics.
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6. Datorstödd språkgranskning under skrivprocessen : svensk språkkontroll ur användarperspektiv
Abstract : Datorstödd språkgranskning med kontroll av stavning, teckenanvändning, ordval och grammatik är ett av språkteknologins största tillämpningsområden. Sådana språkkontrollfunktioner har funnits i ordbehandlingsprogram för engelska i mer än ett decennium. READ MORE
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7. Cross-language Ontology Learning : Incorporating and Exploiting Cross-language Data in the Ontology Learning Process
Abstract : An ontology is a knowledge-representation structure, where words, terms or concepts are defined by their mutual hierarchical relations. Ontologies are becoming ever more prevalent in the world of natural language processing, where we currently see a tendency towards using semantics for solving a variety of tasks, particularly tasks related to information access. READ MORE
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8. Word Alignment by Re-using Parallel Phrases
Abstract : In this thesis we present the idea of using parallel phrases for word alignment. Each parallel phrase is extracted from a set of manual word alignments and contains a number of source and target words and their corresponding alignments. If a parallel phrase matches a new sentence pair, its word alignments can be applied to the new sentence. READ MORE
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9. Hybrid Methods for Coreference Resolution in Swedish
Abstract : The aim of this thesis is to improve coreference resolution in Swedish by providing a hybrid approach based on combining data-driven methods and linguistic knowledge. Coreference resolution here consists in identifying all expressions in a text that have the same referent, for example, a person or an object. READ MORE
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10. Spelling Normalisation and Linguistic Analysis of Historical Text for Information Extraction
Abstract : Historical text constitutes a rich source of information for historians and other researchers in humanities. Many texts are however not available in an electronic format, and even if they are, there is a lack of NLP tools designed to handle historical text. READ MORE