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Showing result 1 - 5 of 10 swedish dissertations matching the above criteria.
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1. Inductive logic programming for part-of-speech tagging
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2. Morphosyntactic Corpora and Tools for Persian
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
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3. Predicting Linguistic Structure with Incomplete and Cross-Lingual Supervision
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
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4. Data-driven syntactic analysis
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5. Segmenting and Tagging Text with Neural Networks
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