Language Linguistic Society Skills
Agent skill stack for manuscripts targeted at Language, the flagship journal of the Linguistic Society of America (LSA), published continuously since 1925 and covering every subfield — phonology, syntax, semantics, morphology, historical and typological linguistics, sociolinguistics, psycholinguistics, and computational linguistics. As of January 2026 Language is published by Cambridge University
Skills in this plugin
11- ▌ Lang Rebuttal · brycewang-stanfordUse when responding to a Language (LSA) decision — a revise-and-resubmit response letter, or an author Rejoinder in the Perspectives target-article-and-commentaries format. Turns reviewer objections into a point-by-point revision plan that engages rival frameworks and firms up evidence. Structures the response; it does not fabricate new results.
- ▌ Lang Submission · brycewang-stanford bundleUse when running the final pre-submission preflight for Language (LSA) via the Cambridge University Press ScholarOne portal — double-anonymous anonymization, the section and word-limit rules (General Research Article ≤18,000 words; Review Article ≤5,000), the abstract, Leipzig glossing, IPA, the Language Style Sheet, figure alt text, and open-access status. Final checks; it does not draft content.
- ▌ Lang Data Analysis · brycewang-stanfordUse when planning or auditing the analysis of a Language (LSA) manuscript so the evidence credibly supports the theoretical claim. Covers quantitative modeling (mixed-effects in R), phonetic measurement, corpus statistics, and the analytic trail from glossed data or judgments to the generalization. Improves the analysis chain; it does not fabricate results.
- ▌ Lang Writing Style · brycewang-stanfordUse when polishing the prose and house style of a Language (LSA) manuscript so it reads for a general linguistics audience and conforms to the Language Style Sheet / Unified Style Sheet for Linguistics. Language prizes analysis legible across frameworks and subfields; jargon and single-formalism prose lose readers. Polishes and conforms; it does not build the argument.
- ▌ Lang Review Process · brycewang-stanfordUse when anticipating how a Language (LSA) manuscript will be judged — the double-anonymous review, the general-audience and cross-framework bar, the desk-return filters (descriptive data dump, single-framework parochialism, undocumented data), and the decision categories. Sets expectations and stress-tests before submission; it does not write the paper.
- ▌ Lang Tables Figures · brycewang-stanfordUse when preparing the exhibits of a Language (LSA) manuscript — numbered examples, Leipzig-convention interlinear glosses, IPA transcription, tableaux/trees, and quantitative tables and figures. Language has specific conventions for linguistic examples that reviewers and typesetters enforce. Prepares exhibits; it does not generate data.
- ▌ Lang Research Design · brycewang-stanfordUse when defending the empirical design of a Language (LSA) manuscript on the terms of its subfield — elicitation and fieldwork, corpus construction, phonetic measurement, experiment, or the diachronic/typological sample. Language judges each kind of evidence by its own standards, and the design must support the theoretical claim. Defends the design; it does not run the analysis.
- ▌ Lang Theory Building · brycewang-stanfordUse when turning a linguistic pattern into a theoretically grounded claim for a Language (LSA) manuscript — an analysis with explicit assumptions, observable predictions, and engagement across competing frameworks rather than inside one formalism. Structures the argument; it does not gloss data or run the statistics.
- ▌ Lang Topic Selection · brycewang-stanfordUse when deciding whether a linguistics project fits Language (Linguistic Society of America) and how to frame it. Language is a generalist flagship spanning every subfield; the test is a theoretically grounded contribution legible to the whole discipline, not a description of one language or a result inside one framework. Helps frame the question; it does not collect or gloss data.
- ▌ Lang Data And Transparency · brycewang-stanfordUse when preparing the data, annotation, and reproducibility materials for a Language (LSA) manuscript — shared datasets and code, glossed corpora, sound files, and the ethics of working with language consultants and communities. Language values transparent, documented data; over-stating a mandated deposit is as wrong as hiding materials. Documents and shares; it does not run the analysis.
- ▌ Lang Literature Positioning · brycewang-stanfordUse when positioning a Language (LSA) manuscript within the literature so it reads as in dialogue with current linguistics across frameworks. Language reviewers are drawn from across subfields; the positioning must engage the strongest rival accounts fairly, not build a subfield-only wall. Maps the conversation; it does not write the literature review.