The Open Access Natural Language Processing Journal aims to advance modern understanding and practice of trustworthy, interpretable, explainable human-centered and hybrid Artificial Intelligence as it relates to all aspects of human language. The NLP journal affords a world-wide platform for academics and practitioners to present their latest theoretical, practical, and methodological research concerning the development and application of trustworthy AI to analyze, process, or model human language across various multimodal contexts, domains, and intelligent systems, including hybrid AI , Human AI interaction and Social systems. The NLP journal welcomes original research papers, review papers, position papers, tutorial and best practice papers. Special Issues proposals on specific current topics are welcomed. To foster trust, transparency, and reproducibility in AI research the NLP journal promotes open and FAIR data and software sharing practices. Furthermore the NLP journal specifically invites researchers to submit scientific replication studies for review and publication.