Sökning: "sentence segmentation"

Hittade 3 avhandlingar innehållade orden sentence segmentation.

  1. 1. Segmenting and Tagging Text with Neural Networks

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

    Sammanfattning : 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. LÄS MER

  3. 2. Morphosyntactic Corpora and Tools for Persian

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

    Sammanfattning : 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. LÄS MER

  4. 3. An evolutionary basis for protein design and structure prediction

    Författare :Christoffer Norn; Biokemi och Strukturbiologi; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Protein evolution; Biophysics; Protein design; Protein structure prediction;

    Sammanfattning : The sequence diversity of protein families is a result of the biophysical selection pressures that shaped their evolutionary history. Among the dominant pressures is selection for protein thermostability, which in itself is an attractive target in protein engineering because of its importance for various biopharmaceutical properties, the performance of industrial enzymes, and the ability to design new protein functions. LÄS MER