Essays about: "errors in learning english"

Showing result 1 - 5 of 41 essays containing the words errors in learning english.

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

   University essay from Göteborgs universitet / / Institutionen för sociologi och arbetsvetenskap

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

   Abstract : 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. READ MORE

3. 2. Subject-Verb Agreement Errors in Swedish 9th and 11th Grade Students’ English Written Production

   University essay from Högskolan i Gävle/Avdelningen för humaniora

   Author : Maiko Tsukanaka; [2023]
   Keywords : Second Language Acquisition SLA ; Swedish Learner English Corpus SLEC ; Swedish-speaking learners of English; Error analysis; Subject-verb agreement; Transfer; Overgeneralization;

   Abstract : This study aims to investigate possible factors contributing to subject-verb agreement errors in Swedish junior and senior high school students' English written production. The sample data is collected from the Swedish Learner English Corpus (SLEC), which comprises student texts produced in a classroom setting. READ MORE

4. 3. 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

5. 4. Punctuation Restoration as Post-processing Step for Swedish Language Automatic Speech Recognition

   University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknik

   Author : Ishika Gupta; [2023]
   Keywords : Transformer; BERT; KB-BERT; NLP; punctuation restoration; deep learning; neural networks;

   Abstract : This thesis focuses on the Swedish language, where punctuation restoration, especially as a postprocessing step for the output of Automatic Speech Recognition (ASR) applications, needs furtherresearch. I have collaborated with NewsMachine AB, a company that provides large-scale mediamonitoring services for its clients, for which it employs ASR technology to convert spoken contentinto text. READ MORE

6. 5. Towards Building Privacy-Preserving Language Models: Challenges and Insights in Adapting PrivGAN for Generation of Synthetic Clinical Text

   University essay from Stockholms universitet/Institutionen för data- och systemvetenskap

   Author : Atena Nazem; [2023]
   Keywords : Generative Adversarial Networks; privacy-preserving language models; clinical text data; reinforcement learning; synthetic data;

   Abstract : The growing development of artificial intelligence (AI), particularly neural networks, is transforming applications of AI in healthcare, yet it raises significant privacy concerns due to potential data leakage. As neural networks memorise training data, they may inadvertently expose sensitive clinical data to privacy breaches, which can engender serious repercussions like identity theft, fraud, and harmful medical errors. READ MORE