ACM Transactions on Speech and Language Processing (TSLP) focuses on practical areas of the design, development, and evaluation of speech- and text-processing systems along with their associated theory. Topics within TSLP's scope include: natural language understanding, generation, and parsing; dialog management; machine translation; document summarization; question answering; detection and tracking of entities, relationships, topics, and novelty; language modeling for machine translation and speech; speech prosody; audio indexing; spoken document retrieval; and machine learning and pattern analysis applied to the above
Subject Areas
Announcements
ACM Updates Its Peer Review Policy
ACM is pleased to announce that its Publications Board has approved an updated Peer Review Policy. If you have any questions regarding the update, the associated FAQ addresses topics such as confidentiality, the use of large language models in the peer review process, conflicts of interest, and several other relevant concerns. If there are any issues that are not addressed in the FAQ, please contact ACM’s Director of Publications, Scott Delman.
New ACM Policy on Authorship
ACM has a new Policy on Authorship, covering a range of key topics, including the use of generative AI tools. Please familiarize yourself with the new policy and the associated list of Frequently Asked Questions.
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Final Issue
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