Essays about: "language training"

Showing result 21 - 25 of 407 essays containing the words language training.

  1. 21. “We have to speak one language to stop FGM“ : Inside and outside perspectives on challenges and strategies related to the elimination of Female Genital Mutilation/Cutting within the Maasai in the Northern central part of in Tanzania

    University essay from

    Author : Anna Bergman; Stina Olausson; [2023]
    Keywords : ;

    Abstract : Female Genital Mutilation/Cutting (FGM/C) is a universal concern, with more than 200 million girls and women alive today who have undergone the practice primarily concentrated in Africa. The Maasai, a semi-nomadic ethnic group inhabiting the Northern Central part of Tanzania, have the highest rate of FGM/C in the whole country. READ MORE

  2. 22. An Intervention Study on the Use of Artificial Intelligence in the ESL Classroom: English teacher perspectives on the Effectiveness of ChatGPT for Personalized Language LearningEn

    University essay from Malmö universitet/Fakulteten för lärande och samhälle (LS)

    Author : Abrar Mohammad Ali; [2023]
    Keywords : ChatGPT; AI-based tools; Personalized language learning; ESL classroom; ESL; L2; Individualized learning; Tailored tasks; Digital-tools; Chatbots; Artificial Intelligence TPACK; Adaptive learning; educational tools;

    Abstract : The recent release of AI tools for public use allows for the development of novel teaching approaches for goals that often present challenges in the classroom, such as the need for personalized learning materials. The current study enlists a four-week ChatGPT-based personalized learning intervention in tandem with a teacher questionnaire and interviews in two upper-secondary schools in Southern Sweden to investigate English teacher perceptions of the benefits and challenges of using AI for personalized language learning. READ MORE

  3. 23. Using Machine Learning to Optimize Near-Earth Object Sighting Data at the Golden Ears Observatory

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Laura Murphy; [2023]
    Keywords : Near-Earth Object Detection; Machine Learning; Deep Learning; Visual Transformers;

    Abstract : This research project focuses on improving Near-Earth Object (NEO) detection using advanced machine learning techniques, particularly Vision Transformers (ViTs). The study addresses challenges such as noise, limited data, and class imbalance. READ MORE

  4. 24. Football Trajectory Modeling Using Masked Autoencoders : Using Masked Autoencoder for Anomaly Detection and Correction for Football Trajectories

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Sandra Tor; [2023]
    Keywords : Machine Learning; Autoencoders; Masked autoencoders; Time series; Trajectory modeling; Time series modeling; Anomaly detection; Anomaly correction; Football; Maskininlärning; Autoencoders; Maskerade autoencoders; Tidsserie; Banmodellering; Tidsseriemodellering; Avvikelsedetektering; Avvikelsekorrigering; Fotboll;

    Abstract : Football trajectory modeling is a powerful tool for predicting and evaluating the movement of a football and its dynamics. Masked autoencoders are scalable self-supervised learners used for representation learning of partially observable data. READ MORE

  5. 25. Head-to-head Transfer Learning Comparisons made Possible : A Comparative Study of Transfer Learning Methods for Neural Machine Translation of the Baltic Languages

    University essay from Uppsala universitet/Institutionen för lingvistik och filologi

    Author : Mathias Stenlund; [2023]
    Keywords : machine translation; transfer learning; Latvian; Lithuanian; low-resource languages; transformers; parent language; child language; comparative study;

    Abstract : The struggle of training adequate MT models using data-hungry NMT frameworks for low-resource language pairs has created a need to alleviate the scarcity of sufficiently large parallel corpora. Different transfer learning methods have been introduced as possible solutions to this problem, where a new model for a target task is initialized using parameters learned from some other high-resource task. READ MORE