Search for dissertations about: "joakim Nivre"
Showing result 1 - 5 of 29 swedish dissertations containing the words joakim Nivre.
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1. Inductive Dependency Parsing of Natural Language Text
Abstract : This thesis investigates new methods for syntactic parsing of unrestricted natural language text under requirements of robustness and disambiguation. A parsing system is required to assign to every sentence in a text at least one analysis (robustness) and at most one analysis (disambiguation). READ MORE
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2. MaltParser -- An Architecture for Inductive Labeled Dependency Parsing
Abstract : 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. READ MORE
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3. The Multilingual Forest : Investigating High-quality Parallel Corpus Development
Abstract : This thesis explores the development of parallel treebanks, collections of language data consisting of texts and their translations, with syntactic annotation and alignment, linking words, phrases, and sentences to show translation equivalence. We describe the semi-manual annotation of the SMULTRON parallel treebank, consisting of 1,000 sentences in English, German and Swedish. READ MORE
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4. Principal Word Vectors
Abstract : Word embedding is a technique for associating the words of a language with real-valued vectors, enabling us to use algebraic methods to reason about their semantic and grammatical properties. This thesis introduces a word embedding method called principal word embedding, which makes use of principal component analysis (PCA) to train a set of word embeddings for words of a language. READ MORE
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5. Automatic and unsupervised methods in natural language processing
Abstract : Natural language processing (NLP) means the computer-aided processing of language produced by a human. But human language is inherently irregular and the most reliable results are obtained when a human is involved in at least some part of the processing. However, manual workis time-consuming and expensive. READ MORE