
Natural Language & Linguistic Theory provides a forum for the discussion of theoretical research that pays close attention to natural language data, offering a channel of communication between researchers of a variety of points of view. The journal actively seeks to bridge the gap between descriptive work and work of a highly theoretical, less empirically oriented nature. In attempting to strike this balance, the journal presents work that makes complex language data accessible to those unfamiliar with the language area being studied and work that makes complex theoretical positions more accessible to those working outside the theoretical framework under review. Natural Language & Linguistic Theory features: generative studies on the syntax, semantics, phonology, morphology, and other aspects of natural language; surveys of recent theoretical developments that facilitate accessibility for a graduate student readership; reactions/replies to recent papers book reviews of important linguistics titles; special topic issues.
Peer review is conducted using Editorial Manager®, supported by a database of international experts. This database is shared with the journal, Linguistics and Philosophy.
- Provides a forum for the discussion of theoretical research into linguistics that pays close attention to natural language data
- Actively seeks to bridge the gap between descriptive work and work of a highly theoretical, less empirically oriented nature in the fields of syntax, semantics, phonology, and morphology
- Presents work that makes complex language data as well as complex theoretical positions more accessible
Journal information
- Editor-in-Chief
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- Julie Anne Legate
- Publishing model
- Hybrid (Transformative Journal). Learn about publishing Open Access with us
Journal metrics
- 1.625 (2019)
- Impact factor
- 1.639 (2019)
- Five year impact factor
- 61 days
- Submission to first decision
- 601 days
- Submission to acceptance
- 63,607 (2019)
- Downloads
Latest issue
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Journal updates
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COVID-19 and impact on peer review
As a result of the significant disruption that is being caused by the COVID-19 pandemic we are very aware that many researchers will have difficulty in meeting the timelines associated with our peer review process during normal times. Please do let us know if you need additional time. Our systems will continue to remind you of the original timelines but we intend to be highly flexible at this time.
About this journal
- Electronic ISSN
- 1573-0859
- Print ISSN
- 0167-806X
- Abstracted and indexed in
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- ANVUR
- Arts & Humanities Citation Index
- CNKI
- Current Contents / Social & Behavioral Sciences
- Current Contents/Arts and Humanities
- Dimensions
- EBSCO Applied Science & Technology Source
- EBSCO Computers & Applied Sciences Complete
- EBSCO Discovery Service
- EBSCO Humanities International
- EBSCO Humanities Source
- EBSCO Linguistics Abstracts Online
- EBSCO STM Source
- ERIH PLUS
- Google Scholar
- Institute of Scientific and Technical Information of China
- JSTOR
- Journal Citation Reports/Social Sciences Edition
- MLA International Bibliography
- Naver
- OCLC WorldCat Discovery Service
- ProQuest Art, Design and Architecture Collection
- ProQuest Arts & Humanities Database
- ProQuest Arts Premium Collection
- ProQuest Biological Science Database
- ProQuest Central
- ProQuest Linguistics and Language Behavior Abstracts (LLBA)
- ProQuest Natural Science Collection
- ProQuest Neurosciences Abstracts
- ProQuest Research Library
- ProQuest SciTech Premium Collection
- ProQuest Social Science Collection
- ProQuest-ExLibris Primo
- ProQuest-ExLibris Summon
- SCImago
- SCOPUS
- Social Science Citation Index
- TD Net Discovery Service
- UGC-CARE List (India)
- Copyright information