Sökning: "språk and naturvetenskap"

Visar resultat 1 - 5 av 87 avhandlingar innehållade orden språk and naturvetenskap.

  1. 1. Power Games : Rules and Roles in Second Life

    Författare :Maria Bäcke; Blekinge Institute of Technology; []
    Nyckelord :SOCIAL SCIENCES; SAMHÄLLSVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; HUMANITIES; HUMANIORA; NATURVETENSKAP; HUMANIORA; NATURAL SCIENCES; HUMANITIES; SOCIAL SCIENCES; SAMHÄLLSVETENSKAP; performance; role-play; Second Life; online worlds; virtual worlds; virtual; digital space; rules; hierarchies; subversion; power; negotiation; make-believe; digital games; online world; virtuality; reality; hierarchy; authority; governing; Media and Communication Studies; Medie- och kommunikationsvetenskap;

    Sammanfattning : This study investigates how the members of four different role-playing communities on the online platform Second Life perform social as well as dramatic roles within their community. The trajectories of power influencing these roles are my main focus. LÄS MER

  2. 2. Towards a Model of General Text Complexity for Swedish

    Författare :Johan Falkenjack; Arne Jönsson; Robert Östling; Linköpings universitet; []
    Nyckelord :NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; HUMANITIES; HUMANIORA; NATURVETENSKAP; NATURVETENSKAP; HUMANIORA; NATURAL SCIENCES; NATURAL SCIENCES; HUMANITIES;

    Sammanfattning : In an increasingly networked world, where the amount of written information is growing at a rate never before seen, the ability to read and absorb written information is of utmost importance for anything but a superficial understanding of life's complexities. That is an example of a sentence which is not very easy to read. LÄS MER

  3. 3. A typology of classifiers and gender : From description to computation

    Författare :Marc Tang; Michael Dunn; Christine Lamarre; Sebastian Fedden; Uppsala universitet; []
    Nyckelord :HUMANITIES; HUMANIORA; NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; HUMANIORA; NATURAL SCIENCES; HUMANITIES; Classifiers; Gender; Nominal classification; Functions; Random Forests; Phylogeny; Word Embeddings; Neural Networks; Linguistics; Lingvistik;

    Sammanfattning : Categorization is one the most relevant tasks realized by humans during their life, as we consistently need to categorize the things and experience that we encounter. Such need is reflected in language via various mechanisms, the most prominent being nominal classification systems (e.g. LÄS MER

  4. 4. Principal Word Vectors

    Författare :Ali Basirat; Joakim Nivre; Hinrich Schütze; Uppsala universitet; []
    Nyckelord :HUMANITIES; HUMANIORA; NATURAL SCIENCES; NATURVETENSKAP; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; NATURVETENSKAP; TEKNIK OCH TEKNOLOGIER; HUMANIORA; NATURAL SCIENCES; ENGINEERING AND TECHNOLOGY; HUMANITIES; word; context; word embedding; principal component analysis; PCA; sparse matrix; singular value decomposition; SVD; entropy;

    Sammanfattning : 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. LÄS MER

  5. 5. Text Harmonization Strategies for Phrase-Based Statistical Machine Translation

    Författare :Sara Stymne; Lars Ahrenberg; Joakim Nivre; Nizar Habash; Linköpings universitet; []
    Nyckelord :NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; HUMANITIES; HUMANIORA; NATURVETENSKAP; HUMANIORA; NATURAL SCIENCES; HUMANITIES; Statistical machine translation; text harmonization; compound words; definiteness; reordering; unknown words;

    Sammanfattning : In this thesis I aim to improve phrase-based statistical machine translation (PBSMT) in a number of ways by the use of text harmonization strategies. PBSMT systems are built by training statistical models on large corpora of human translations. This architecture generally performs well for languages with similar structure. LÄS MER