Essays about: "reading frequency"

Showing result 1 - 5 of 50 essays containing the words reading frequency.

  1. 1. Incidental Vocabulary Learning in EFL Through Reading, Listening, and Watching

    University essay from

    Author : Julia Ekman; Nawar Saleh; [2024]
    Keywords : Incidental vocabulary learning; Vocabulary retention; Digital tools; Language acquisition; Multimedia learning; Vocabulary retention; English as a foreign language EFL ; Second language L2 ;

    Abstract : Incidental vocabulary learning is a form of acquiring new words without having a specific intention in the acquisition, and it can occur in or out of the educational frame (Hatami, 2017). In the digital age, incidental vocabulary acquisition is increased as learners encounter and assimilate new words through different online platforms and technological tools. READ MORE

  2. 2. Is the Echo English series relevant for advanced learners? : -A study on lexical character and recycling in two Swedish EFL textbooks for upper secondary school

    University essay from Örebro universitet/Institutionen för humaniora, utbildnings- och samhällsvetenskap

    Author : Magnus Ejnarsson; [2023]
    Keywords : Incidental learning; textbook analysis; recycling; pedagogy;

    Abstract : This study aims to provide additional research into how Swedish EFL textbooks support incidental vocabulary learning through reading texts, specifically for textbooks aimed at upper secondary school, expecting a greater emphasis on recycling mid- and low-frequency words. The study has investigated the lexical character of two textbooks, Echo English 5 and Echo English 7, as well as how they recycle lemmas and how well they recycle lemmas from the mid- and low-frequency bands. READ MORE

  3. 3. Establishing novel approaches for assessing safety of genome-editing-based therapeutics

    University essay from Uppsala universitet/Institutionen för biologisk grundutbildning

    Author : Noorul Shaheen Sheikh Farid; [2023]
    Keywords : ;

    Abstract : Genome editing based medicines are a new therapeutic modality being developed. They show great promise for a spectrum of genetic diseases lacking conventional treatment strategies. A major obstacle that prevents such therapies to reach the clinic is their safety. READ MORE

  4. 4. Sentiment Analysis Of IMDB Movie Reviews : A comparative study of Lexicon based approach and BERT Neural Network model

    University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Author : Prashuna Sai Surya Vishwitha Domadula; Sai Sumanwita Sayyaparaju; [2023]
    Keywords : Bag of Words BoW ; Deep Learning; IMDb Movie Reviews; Machine Learning; Natural Language Processing NLP ; Sentiment Analysis; Term Frequency- Inverse Document Frequency TF-IDF .;

    Abstract : Background: Movies have become an important marketing and advertising tool that can influence consumer behaviour and trends. Reading film reviews is an im- important part of watching a movie, as it can help viewers gain a general under- standing of the film. And also, provide filmmakers with feedback on how their work is being received. READ MORE

  5. 5. Recommending digital books to children : Acomparative study of different state-of-the-art recommendation system techniques

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

    Author : Malvin Lundqvist; [2023]
    Keywords : Recommendation Systems; Collaborative Filtering; Matrix Factorization; Multi-Layer Perceptron; Neural Network-based Collaborative Filtering; Implicit Feedback; Deep Learning; Term Frequency-Inverse Document Frequency; Rekommendationssystem; Kollaborativ filtrering; Matrisfaktorisering; Flerlagersperceptron; Neurala nätverksbaserad kollaborativ filtrering; Implicit data; Djupinlärning; Termfrekvens med omvänd dokumentfrekvens;

    Abstract : Collaborative filtering is a popular technique to use behavior data in the form of user’s interactions with, or ratings of, items in a system to provide personalized recommendations of items to the user. This study compares three different state-of-the-art Recommendation System models that implement this technique, Matrix Factorization, Multi-layer Perceptron and Neural Matrix Factorization, using behavior data from a digital book platform for children. READ MORE