"Natural Language Engineering" is a core resource for researchers and practitioners working on the computational aspects of human language. The journal covers all aspects of natural language processing (NLP), including computational linguistics, speech recognition, machine translation, and text analysis. It serves as a platform for disseminating cutting-edge research on both theoretical foundations and practical applications of NLP. Its scope ranges from formal models of language to the development of NLP tools and systems.
Indexed in significant databases such as Scopus and Web of Science, it's targeted towards computational linguists, computer scientists, and engineers involved in language technology. The journal emphasizes interdisciplinary approaches, fostering dialogue between theoretical linguistics and practical system building. Its strength is publishing innovative algorithms, models, and resources that enhance the performance and applicability of NLP systems.
By providing a forum for disseminating high-quality research, Natural Language Engineering promotes innovation and collaboration in the field. The journal contributes to the development of more human-like language processing capabilities. Researchers are invited to submit their original work, helping drive progress in this ever-evolving area of computer science and linguistics."