Sökning: "word classes"

Visar resultat 1 - 5 av 76 uppsatser innehållade orden word classes.

  1. 1. Los efectos del uso de Duolingo como andamiaje para el aprendizaje de vocabulario del ELE

    Uppsats för yrkesexamina på avancerad nivå, Göteborgs universitet / Lärarutbildningsnämnden

    Författare :Martin Morante; [2023-06-20]
    Nyckelord :ELE; Duolingo y ludificación; EFL; Duolingo and gamification;

    Sammanfattning : Duolingo is one of the most widely used gamification applications among people for learning vocabulary in Spanish as a foreign language (EFL) in Sweden. However, there is a scarcity of accredited research concerning the effects of gamification in EFL classrooms within the Swedish school context, with most studies focusing on university-level populations. LÄS MER

  2. 2. An Errors Analysis of Grammatical Errors in The Written Productions of Swedish Students in a Vocational High School

    Kandidat-uppsats, Göteborgs universitet / / Institutionen för sociologi och arbetsvetenskap

    Författare :Maryam Nezamabadi; [2023-02-01]
    Nyckelord :Error analysis; Verb errors; Common grammatical errors; English written productions; Grammar teaching; Second language learning; Errors based on word class categories;

    Sammanfattning : As an approach to spotting and analyzing students' errors, error analysis provides information that gives us a better understanding of students' knowledge of second language grammar, so we can offer them more effective teaching. This study is an error analysis that investigates the most common grammatical errors focusing on verbs, prepositions, articles, and pronouns in English writings produced by first-year high-school students at a vocational school in southern Sweden. LÄS MER

  3. 3. Image-Guided Zero-Shot Object Detection in Video Games : Using Images as Prompts for Detection of Unseen 2D Icons

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Axel Larsson; [2023]
    Nyckelord :Computer Vision; Deep learning; Machine learning; Object detection; Zeroshot; Datorseende; Djupinlärning; Maskininlärning; Objektdetektering; Zero-shot;

    Sammanfattning : Object detection deals with localization and classification of objects in images, where the task is to propose bounding boxes and predict their respective classes. Challenges in object detection include large-scale annotated datasets and re-training of models for specific tasks. LÄS MER

  4. 4. Recommendation of Text Properties for Short Texts with the Use of Machine Learning : A Comparative Study of State-of-the-Art Techniques Including BERT and GPT-2

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Luciano Zapata; [2023]
    Nyckelord :Text classification; Short texts; Deep Learning; BERT; GPT; GPT-2; Transformers; Natural Language Processing; Textklassificering; Korta Texter; Djupinlärning; BERT; GPT; GPT-2; Transformatorer; Naturlig språkbehandling;

    Sammanfattning : Text mining has gained considerable attention due to the extensive usage ofelectronic documents. The significant increase in electronic document usagehas created a necessity to process and analyze them effectively. LÄS MER

  5. 5. Dataset Drift in Radar Warning Receivers : Out-of-Distribution Detection for Radar Emitter Classification using an RNN-based Deep Ensemble

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för systemteknik

    Författare :Kevin Coleman; [2023]
    Nyckelord :Radar Emitter Classification; Pulse Descriptor Word; Out of Distribution Detection; Dataset Drift; Uncertainty Estimation; Deep Ensembles; Recurrent Neural Networks; LSTM;

    Sammanfattning : Changes to the signal environment of a radar warning receiver (RWR) over time through dataset drift can negatively affect a machine learning (ML) model, deployed for radar emitter classification (REC). The training data comes from a simulator at Saab AB, in the form of pulsed radar in a time-series. LÄS MER