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Showing result 1 - 5 of 10 swedish dissertations matching the above criteria.

  1. 1. Inductive logic programming for part-of-speech tagging

    Author : Martin Eineborg; KTH; []
    Keywords : ;

    Abstract : .... READ MORE

  2. 2. Morphosyntactic Corpora and Tools for Persian

    Author : Mojgan Seraji; Joakim Nivre; Carina Jahani; Jan Hajic; Uppsala universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Persian; language technology; corpus; treebank; preprocessing; segmentation; part-of-speech tagging; dependency parsing; Computational Linguistics; Datorlingvistik;

    Abstract : This thesis presents open source resources in the form of annotated corpora and modules for automatic morphosyntactic processing and analysis of Persian texts. More specifically, the resources consist of an improved part-of-speech tagged corpus and a dependency treebank, as well as tools for text normalization, sentence segmentation, tokenization, part-of-speech tagging, and dependency parsing for Persian. READ MORE

  3. 3. Predicting Linguistic Structure with Incomplete and Cross-Lingual Supervision

    Author : Oscar Täckström; Joakim Nivre; Jussi Karlgren; Ryan McDonald; Hal Daumé III; Uppsala universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; linguistic structure prediction; structured prediction; latent-variable model; semi-supervised learning; multilingual learning; cross-lingual learning; indirect supervision; partial supervision; ambiguous supervision; part-of-speech tagging; dependency parsing; named-entity recognition; sentiment analysis; Computational Linguistics; Datorlingvistik;

    Abstract : Contemporary approaches to natural language processing are predominantly based on statistical machine learning from large amounts of text, which has been manually annotated with the linguistic structure of interest. However, such complete supervision is currently only available for the world's major languages, in a limited number of domains and for a limited range of tasks. READ MORE

  4. 4. Data-driven syntactic analysis

    Author : Beata Megyesi; KTH; []
    Keywords : natural language processing; machine learning; data-driven methods; part-of-speech tagging; chunking; shallow parsing; evaluation; hidden Markov modeling; maximum entropy learning; memory-based learning; transformation-based learning; morphology; syn;

    Abstract : .... READ MORE

  5. 5. Segmenting and Tagging Text with Neural Networks

    Author : Yan Shao; Joakim Nivre; Jörg Tiedemann; Christian Hardmeier; Yue Zhang; Uppsala universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; neural networks; sequence labelling; multilinguality; word segmentation; sentence segmentation; morpheme segmentation; transliteration; joint word segmentation and POS tagging;

    Abstract : Segmentation and tagging of text are important preprocessing steps for higher-level natural language processing tasks. In this thesis, we apply a sequence labelling framework based on neural networks to various segmentation and tagging tasks, including sentence segmentation, word segmentation, morpheme segmentation, joint word segmentation and part-of-speech tagging, and named entity transliteration. READ MORE