University of Alicante (Spain)
In recent years, technological advancements have significantly impacted the field of language learning and translation. Emerging technologies such as Augmented Reality (AR) and Virtual Reality (VR), along with artificial intelligence (AI), machine learning, and natural language processing (NLP), are reshaping the methodologies and practices of language teaching, learning, and translation. These new technologies offer unprecedented opportunities to enhance the effectiveness of language learning and translation processes. By leveraging AI, educators and translators can provide more personalized and adaptive learning experiences, breaking down traditional barriers and making language learning more accessible and engaging for diverse populations worldwide.
The integration of AI in language learning platforms allows for the creation of intelligent tutoring systems that adapt to individual learners’ needs, providing customized feedback and support. These systems can analyze learners’ progress, identify areas of difficulty, and offer targeted exercises to reinforce learning. Additionally, AI-powered language learning apps can simulate real-life conversations, providing learners with immersive and interactive experiences that improve their speaking and listening skills. Virtual Reality (VR) and Augmented Reality (AR) technologies further enhance these experiences by creating immersive environments where learners can practice language skills in contextually rich settings. However, these technologies also pose challenges, such as ensuring the ethical use of AI, addressing biases in AI algorithms, and maintaining the accuracy and reliability of language models.In the field of translation, technology has also had a transformative impact. Machine translation systems, driven by deep learning algorithms, have significantly improved in accuracy and fluency, making them valuable tools for professional translators. These systems can handle complex linguistic structures, bridging communication gaps in real time and facilitating cross-cultural exchanges. Furthermore, translation management systems (TMS) and computer-assisted translation (CAT) tools streamline the translation workflow, enabling translators to work more efficiently and collaboratively. By automating repetitive tasks and providing linguistic resources at their fingertips, these tools enhance productivity and ensure higher consistency and quality in translations. However, the integration of these technologies also raises concerns, including the potential for inaccuracies, the need for human oversight to avoid errors, and the ethical considerations related to the use of AI in translation processes.We invite researchers and scholars worldwide to submit proposals for 20-minute presentations in English or Spanish for our upcoming virtual conference. We welcome contributions on a wide range of topics, including but not limited to:
LANGUAGE LEARNING & TECHNOLOGY
- Technology-Enhanced Language Learning
- AI in Language Learning and Assessment
- Virtual and Augmented Reality in Language Education
- Data-driven Language Learning
- Online Language Learning Communities
- Adaptive Learning Technologies
- Mobile-Assisted Language Learning (MALL)
- Video games and Gamification
- Corpus Linguistics and Language Learning
TRANSLATION & TECHNOLOGY
- Advancements in Machine Translation and AI Integration
- Innovative Translation Technologies and Tools
- Enhancements in Computer-Assisted Translation (CAT) Systems
- Automated Quality Assurance and Accuracy in Translation
- Ethical Considerations in Translation Technology
- Localization Engineering and Cultural Adaptation
- Optimizing Translation Memory Systems
- Challenges and Solutions in AI-Driven Translation
- Bias and Fairness in Machine Translation
For more details, please visit: https://web.ua.es/es/dl2/glotech
