Sökning: "Computer linguistics"

Visar resultat 1 - 5 av 83 avhandlingar innehållade orden Computer linguistics.

1. 1. MaltParser -- An Architecture for Inductive Labeled Dependency Parsing

   Författare :Johan Hall; Joakim Nivre; Welf Löwe; Martin Volk; Växjö universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Dependency Parsing; Support Vector Machines; Machine Learning; Language technology; Språkteknologi; Computer and Information Sciences Computer Science; Data- och informationsvetenskap;

   Sammanfattning : This licentiate thesis presents a software architecture for inductive labeled dependency parsing of unrestricted natural language text, which achieves a strict modularization of parsing algorithm, feature model and learning method such that these parameters can be varied independently. The architecture is based on the theoretical framework of inductive dependency parsing by Nivre \citeyear{nivre06c} and has been realized in MaltParser, a system that supports several parsing algorithms and learning methods, for which complex feature models can be defined in a special description language. 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. Compound Processing for Phrase-Based Statistical Machine Translation

   Författare :Sara Stymne; Lars Ahrenberg; Joakim Nivre; Alexander Fraser; Linköpings universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Machine translation; compounds; factored translation; statistical machine translation; computational linguistics; Computational linguistics; Datorlingvistik; Language technology; Språkteknologi; Computer science; Datavetenskap;

   Sammanfattning : In this thesis I explore how compound processing can be used to improve phrase-based statistical machine translation (PBSMT) between English and German/Swedish. Both German and Swedish generally use closed compounds, which are written as one word without spaces or other indicators of word boundaries. LÄS MER

5. 4. Sentiment and Stance Visualization of Textual Data for Social Media

   Författare :Kostiantyn Kucher; Andreas Kerren; Carita Paradis; Magnus Sahlgren; Ross Maciejewski; Linnéuniversitetet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; stance visualization; sentiment visualization; text visualization; stance analysis; sentiment analysis; opinion mining; visualization; interaction; visual analytics; NLP; text mining; text analytics; social media; Informations- och programvisualisering; Information and software visualization;

   Sammanfattning : Rapid progress in digital technologies has transformed the world in many ways during the past few decades, in particular, with the new means of communication such as social media. Social media platforms typically rely on textual data produced or shared by the users in multiple timestamped posts. LÄS MER

7. 5. Towards semantic language processing

   Författare :Anna Jonsson; Johanna Björklund; Marco Kuhlmann; Umeå universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Weighted tree automata; abstract meaning representation; contextual hyperedge replacement grammar; hyperedge replacement grammar; semantic modelling; the N best problem; Computer Science; datalogi; datorlingvistik; computational linguistics;

   Sammanfattning : The overall goal of the field of natural language processing is to facilitate the communication between humans and computers, and to help humans with natural language problems such as translation. In this thesis, we focus on semantic language processing. LÄS MER