Search for dissertations about: "technology language LEARNING"

Showing result 1 - 5 of 144 swedish dissertations containing the words technology language LEARNING.

2. 1. Developing and Evaluating Language Tools for Writers and Learners of Swedish

   Author : Ola Knutsson; Kerstin Severinson Eklundh; Viggo Kann; Teresa Cerratto Pargman; Lars Ahrenberg; KTH; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; interactive learning systems; error; feedback; human-computer interaction; grammar checking; grammaticality judgments; parsing; second language learning; Swedish; evaluation; user studies; language technology; computer assisted language learning; writing; language tools; interaktiva lärsystem; fel; återkoppling; grammatikkontroll; språkverktyg; människa-datorinteraktion; skrivande; andraspråksinlärning; grammatikalitetsbedömning; parsning; Language technology; Språkteknologi;

   Abstract : Skrivande och skrivet språk är idag en viktig del av många människors liv, i datorns ordbehandlare, i e-postprogram och i chattkanaler på Internet. Skrivet språk har blivit mer eller mindre en förutsättning för människors dagliga kommunikation. Denna utveckling av samhället leder till ökade behov av att på olika sätt hantera text. READ MORE

4. 2. Representation learning for natural language

   Author : Olof Mogren; RISE; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; artificial neural networks; artificial intelligence; natural language processing; deep learning; machine learning; summarization; representation learning;

   Abstract : Artificial neural networks have obtained astonishing results in a diverse number of tasks. One of the reasons for the success is their ability to learn the whole task at once (endto-end learning), including the representations for data. READ MORE

5. 3. Cross-language Ontology Learning : Incorporating and Exploiting Cross-language Data in the Ontology Learning Process

   Author : Hans Hjelm; Martin Volk; Joakim Nivre; Philipp Cimiano; Stockholms universitet; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; Ontologies; Ontology learning; Distributional semantics; Knowledge acquisition; Text mining; Computational linguistics; Datorlingvistik; datorlingvistik; Computational Linguistics;

   Abstract : An ontology is a knowledge-representation structure, where words, terms or concepts are defined by their mutual hierarchical relations. Ontologies are becoming ever more prevalent in the world of natural language processing, where we currently see a tendency towards using semantics for solving a variety of tasks, particularly tasks related to information access. READ MORE

6. 4. Exploring natural language processing for single-word and multi-word lexical complexity from a second language learner perspective

   Author : David Alfter; Göteborgs universitet; []
   Keywords : HUMANIORA; HUMANITIES; NATURVETENSKAP; NATURAL SCIENCES; natural language processing; lexical complexity; CEFR; second language learning; machine learning; crowdsourcing;

   Abstract : In this thesis, we investigate how natural language processing (NLP) tools and techniques can be applied to vocabulary aimed at second language learners of Swedish in order to classify vocabulary items into different proficiency levels suitable for learners of different levels. In the first part, we use feature-engineering to represent words as vectors and feed these vectors into machine learning algorithms in order to (1) learn CEFR labels from the input data and (2) predict the CEFR level of unseen words. READ MORE

7. 5. Splitting rocks: Learning word sense representations from corpora and lexica

   Author : Luis Nieto Piña; Göteborgs universitet; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; language technology; natural language processing; distributional models; semantic representations; distributed representations; word senses; embeddings; word sense disambiguation; linguistic resources; corpus; lexicon; machine learning; neural networks;

   Abstract : The representation of written language semantics is a central problem of language technology and a crucial component of many natural language processing applications, from part-of-speech tagging to text summarization. These representations of linguistic units, such as words or sentences, allow computer applications that work with language to process and manipulate the meaning of text. READ MORE