Sökning: "language and learning"

Visar resultat 11 - 15 av 621 avhandlingar innehållade orden language and learning.

1. 11. Cross-language Ontology Learning : Incorporating and Exploiting Cross-language Data in the Ontology Learning Process

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

   Sammanfattning : 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. LÄS MER

3. 12. Deictic Demonstratives in Japanese, Finnish and Swedish : First and Third Language Perspectives

   Författare :Mitsuyo Kuwano Lidén; Gunilla Lindberg-Wada; Päivi Juvonen; Peter af Trampe; Keiko Yoshioka; Stockholms universitet; []
   Nyckelord :HUMANIORA; HUMANITIES; HUMANIORA; HUMANITIES; Japanese; Finnish; Swedish; spatial-deictically used demonstratives; interlanguage; third-language learning; Japanology; japanologi;

   Sammanfattning : The goal of this thesis is twofold. Firstly, it investigates the actual, native use of spatial-deictic demonstratives in Japanese, Finnish and Swedish. LÄS MER

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

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

   Sammanfattning : 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. LÄS MER

5. 14. Word Representations for Emergent Communication and Natural Language Processing

   Författare :Mikael Kågebäck; Chalmers tekniska högskola; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Extractive summarisation; Emergent communication; Deep reinforcement learning; Natural language processing; Word Representations; Deep learning; Machine learning; Artificial neural networks;

   Sammanfattning : The task of listing all semantic properties of a single word might seem manageable at first but as you unravel all the context dependent subtle variations in meaning that a word can encompass, you soon realize that precise mathematical definition of a word’s semantics is extremely difficult. In analogy, humans have no problem identifying their favorite pet in an image but the task of precisely defining how, is still beyond our capabilities. LÄS MER

7. 15. Lärande samtal : elevers kollektiva textbygge i samband med diktskrivande

   Författare :Gun Rooswall Persson; Umeå universitet; []
   Nyckelord :HUMANIORA; HUMANITIES; HUMANIORA; HUMANITIES; SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; Learning conversation; collective text-building; interaction; learning function; conversational stile; conversational pattern; Samtal; pedagogik; skolan; Scandinavian languages; Education;

   Sammanfattning : The purpose of this study is to describe and interpret the process by which pupils collectivelybuild a text during discussion of a group task. The study also has two further aims: firstly toexemplify task-oriented, interactionist and genre-specific conversational moves; and secondly todescribe, interpret and compare symmetric and asymmetric co-operative and competitive conversationalmoves, and laughter, in the interaction. LÄS MER