Recent Advances on Computational Linguistics and Natural Language Processing—2nd Edition
A Special Issue of Computation (ISSN 2079-3197) belonging to the section "Computational Social Science".
Deadline for manuscript submissions: 31 July 2027 | Viewed by 1127
Editors
Interests: artificial intelligence; natural language processing; computational linguistics; machine learning
Special Issues, Collections and Topics in MDPI journals
Interests: stochastic modeling; computational physics; numerical simulation; language dynamics
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This Special Issue on computational linguistics and natural language processing (NLP) will highlight cutting-edge work that tackles theoretical and practical problems while bringing together recent developments in these quickly developing domains. The goal of this Special Issue is to present a thorough analysis of the most recent advancements in this field, with an emphasis on creative methods and applications in a range of fields.
The integration of machine learning approaches with NLP is one of the main themes that this Special Issue will explore. It will examine how state-of-the-art methods, such as transformer models and deep learning, are applied to improve the efficiency of NLP systems for tasks such as speech recognition, sentiment analysis, and machine translation. It will also explore the impacts of these technologies on improving the accuracy and efficiency of language models, enabling more natural and human-like interactions with machines.
This Special Issue will focus on using NLP in multilingual and low-resource environments. Current research describes unique ways of processing languages with insufficient data, emphasizing the importance of cross-linguistic transfer and unsupervised learning techniques. These findings show that NLP has the ability to overcome language barriers and promote global communication.
Moreover, this Special Issue will investigate the ethical and societal consequences of the advances in computational linguistics and NLP. Contributions may discuss the potential biases in language models and the need for fair and transparent systems that prioritize user privacy and cultural diversity. These debates highlight the need for more research on the ethical use of NLP technologies in real-world applications.
Overall, this Special Issue will offer a rich collection of research that pushes the boundaries of what is possible in computational linguistics and NLP. It will serve as a valuable resource for academics, practitioners, and students interested in the current state and future directions of these dynamic fields.
Prof. Dr. Khaled Shaalan
Dr. Filippo Palombi
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-anonymized peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Computation is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- computational linguistics
- natural language processing
- machine learning
- deep learning
- multilingual NLP
- ethical AI
- language models
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