Sökning: "Neural Linguistic Features"

Visar resultat 1 - 5 av 9 uppsatser innehållade orden Neural Linguistic Features.

1. 1. Neural Asymmetry in the Perception of South Swedish Word Accents

   Master-uppsats, Lunds universitet/Masterprogram: Språk och språkvetenskap; Lunds universitet/Fonetik

   Författare :Huayuan Cui; [2023]
   Nyckelord :speech perception; South Swedish; Swedish word accents; mismatch negativity; MMN; Languages and Literatures;

   Sammanfattning : South Swedish, as a dialect of modern Swedish, has two tonal word accents, accent 1 and accent 2. Regarding these two word accents, there are three groups of hypotheses on which one is more lexically specified. LÄS MER

3. 2. Readability Assessment with Pre-Trained Transformer Models : An Investigation with Neural Linguistic Features

   Master-uppsats, Uppsala universitet/Institutionen för lingvistik och filologi

   Författare :Chuchu Ma; [2022]
   Nyckelord :Readability Assessment; Pre-trained Transformer Models; Neural Linguistic Features;

   Sammanfattning : Readability assessment (RA) is to assign a score or a grade to a given document, which measures the degree of difficulty to read the document. RA originated in language education studies and was used to classify reading materials for language learners. Later, RA was applied to many other applications, such as aiding automatic text simplification. LÄS MER

4. 3. Automated Essay Scoring for English Using Different Neural Network Models for Text Classification

   Master-uppsats, Uppsala universitet/Institutionen för lingvistik och filologi

   Författare :Xindi Deng; [2021]
   Nyckelord :Automated Essay Scoring; neural network models; linguistic features;

   Sammanfattning : Written skills are an essential evaluation criterion for a student’s creativity, knowledge, and intellect. Consequently, academic writing is a common part of university and college admissions applications, standardized tests, and classroom assessments. However, the task for teachers is quite daunting when it comes to essay scoring. LÄS MER

5. 4. Determining linguistic predictor for the classification of subjective cognitive impairment and mild cognitive impairment using machine learning

   Master-uppsats, Göteborgs universitet / Institutionen för filosofi, lingvistik och vetenskapsteori

   Författare :Tian Wang; [2020-09-01]
   Nyckelord :mild cognitive impairment; sibjective cognitive impairment; natural language processing; support vector machine; neural networks;

   Sammanfattning : Introduction Mild Cognitive Impairment (MCI) is a neurological condition characterized by cognitive decline greater than expected for an individual's age and education level. Subjective Cognitive Impairment (SCI) is a selfreported decline in cognitive abilities but not clinically identified as MCI. LÄS MER

7. 5. Neural Network Based Automatic Essay Scoring for Swedish

   Master-uppsats, Uppsala universitet/Institutionen för lingvistik och filologi

   Författare :Rex Dajun Ruan; [2020]
   Nyckelord :Automatic Essay Scoring; Swedish; Linguistic Features; Machine Learning;

   Sammanfattning : This master thesis work presents a novel method of automatic essay scoring for Swedish national tests written by upper secondary high school students by deploying neural network architectures and linguistic feature extraction in the framework of Swegram. There are four sorts of linguistic aspects involved in our feature extraction: count-based,lexical morphological and syntactic. LÄS MER