Sökning: "word finding"

Visar resultat 1 - 5 av 28 avhandlingar innehållade orden word finding.

1. 1. Word-finding difficulties in left hemisphere stroke, multiple sclerosis and Parkinson's disease - differences in symptom occurrence and effects of anomia treatment

   Författare :Joana Kristensson; Göteborgs universitet; []
   Nyckelord :MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; anomia; word-finding difficulties; ICF; assessment; self-reports; naming; everyday communication; SFA; treatment; stroke; multiple sclerosis; Parkinson’s disease;

   Sammanfattning : Word-finding difficulties, or anomia, are a common symptom in various conditions affecting the brain, such as stroke, multiple sclerosis (MS) or Parkinson’s disease (PD). The aim of this thesis is twofold: (i) to increase our knowledge about the similarities and dissimilarities between the word-finding difficulties associated with different kinds of neurological conditions, and (ii) to evaluate treatment effects of anomia treatment using a method called semantic feature analysis (SFA). LÄS MER

3. 2. Discourse patterns in aphasia

   Författare :Elisabeth Ahlsén; Göteborgs universitet; []
   Nyckelord :HUMANIORA; HUMANITIES; discourse patterns; aphasia; word finding; gestures; narratives;

   Sammanfattning : .... LÄS MER

4. 3. 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. 4. Finding, extracting and exploiting structure in text and hypertext

   Författare :Ola Ågren; Jürgen Börstler; Frank Drewes; Maarten de Rijke; Umeå universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Automatic propagation; CHiC; Data mining; Discrete data; Extraction; Hierarchies; ProT; Rank distribution; S²ProT; Spatial linking; Web mining; Web searching; Computer science; Datalogi; business data processing; administrativ databehandling;

   Sammanfattning : Data mining is a fast-developing field of study, using computations to either predict or describe large amounts of data. The increase in data produced each year goes hand in hand with this, requiring algorithms that are more and more efficient in order to find interesting information within a given time. LÄS MER

7. 5. Brain anatomical correlates of perceptual phonological proficiency and language learning aptitude

   Författare :Mikael Novén; Allmän språkvetenskap; []
   Nyckelord :HUMANIORA; HUMANITIES; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; Prosody; word accent; MRI; language learning aptitude; cortical morphometry; diffusion kurtosis imaging;

   Sammanfattning : The present dissertation concerns how brain tissue properties reflect proficiency in two aspects of language use: the ability to use tonal cues on word stems to predict how words will end and the aptitude for learning foreign languages. While it is known that people differ in their language abilities and that damage to brain tissue cause loss of cognitive functions, it is largely unknown if differences in language proficiencies correlate with differences in brain structure. LÄS MER