Abstract
We introduce the principles behind the launch of a new journal in semantics and pragmatics and outline the journal's processes and policies. S&P is a peer-reviewed open access journal. The main content is high quality, original, self-contained research articles on the semantics and pragmatics of natural languages. While our target audience is primarily academic linguists, we expect to also publish material by, or of relevance to, philosophers, psychologists, and computer scientists. doi: 10.3765/sp.0.1
Highlights
We are proud to announce that Semantics and Pragmatics (S&P) is open for submissions
One might ask why the field of semantics and pragmatics needs another journal, given that we are well-served by Linguistics & Philosophy, Natural Language Semantics, Journal of Semantics, and other respected journals
Provided the work meets those criteria, we will welcome both submissions of papers on core topics in semantics and pragmatics, and submissions of interdisciplinary papers involving work on syntax, phonology, psycho-linguistics, text and corpus studies, discourse and conversation analysis, computational semantics, the lexicon, historical linguistics, cross-linguistic typology, logic, and philosophy of language
Summary
Originality Are there important new theoretical insights, important new data, perhaps a notably original synthesis of ideas from disparate fields, or new formal techniques? Does the paper substantially overlap with a separate published paper of the author?. Advice to authors: by contextualizing results appropriately, the author increases the worth of the paper to the audience, and makes the job of the editors and reviewers easier It will be much easier for us to be sure that a paper should be published if we can clearly see what previous work it betters. Many S&P articles will not make use of corpora or web data, but nowadays all authors must be aware that readers and reviewers have rapid access to corpus and web evidence It would be as well for authors to forestall potential objections based on these sources by considering for themselves whether any such data might be relevant to their claims prior to submission
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