Resource Guide
Research Project Ideas in Linguistics for High School Students
Specific, data-driven questions across language structure, language change, language and society, and language and the mind, with guidance on accessing language data and building an analysis.
How to Use This List
Linguistics is one of the best-kept secrets among school subjects: it is rigorous, data-driven, and deeply connected to both the humanities and the sciences, yet very few school students know it exists as a research discipline. A linguistics project lets a student demonstrate systematic, analytical thinking through the material they know best, language itself.
Take one question and find a specific dataset to investigate it: a set of sentences from a corpus, transcripts of interviews, newspaper text over time, or linguistic data from a language you speak. Our guide to writing a research question helps frame a focused enquiry, and our literature review guide shows how to map what linguists have already found.
Choose a Method Before a Topic
The method is the decision that determines whether a project can actually be finished; the topic is secondary. Every question below is tagged with one of these four routes, its difficulty, and the finished output it should produce.
Corpus analysis
Use a published corpus to test a claim about language quantitatively. Free corpora and Google Ngram let you show a change rather than assert it.
A free corpus, a search you can justify, and counts rather than impressions.
Elicitation
Collect small amounts of language data from speakers under proper consent. Small and properly run beats large and improvised, and anyone under 18 needs parental consent.
Consent forms, school permission first, and a narrow, well-defined prompt.
Literature review
Synthesise the research on one linguistic question, including where theories genuinely conflict.
Google Scholar, and a question narrow enough that ten papers can answer it.
Descriptive analysis
Describe a pattern in a language you know precisely enough that someone else could test it. Rigour of description is the whole skill.
A language you speak and the notation to describe it systematically.
Ideas by Sub-Field
Language structure
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How does a specific grammatical feature work in English, and what challenges does it pose for theories of syntax?
Descriptive analysis Advanced
Output: A precise description of one construction and an assessment of what it costs the theories
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What patterns emerge in the phonology of a language you know, and how can they be systematically described?
Descriptive analysis Advanced
Output: A systematic phonological description with the pattern stated as testable rules
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How do languages differ in how they encode time, space, or causation, and what does this reveal?
Literature review Advanced
Output: A comparative review of how languages encode one domain, and what follows for universals
Language change & variation
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How is a particular feature of English changing, and what social forces are driving it?
Corpus analysis Intermediate
Output: A corpus study showing the change with counts and dates, not impressions
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What linguistic features mark a specific regional, social, or online dialect, and how stable are they?
Elicitation Intermediate
Output: A small properly consented study of dialect features, with the sample and method stated
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How has the vocabulary of a particular domain, such as technology, politics, or medicine, changed over time?
Corpus analysis Intermediate
Output: A diachronic corpus analysis of one domain’s vocabulary, with your own charts
Language & society
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How does language use differ systematically across genders, generations, or social groups?
Corpus analysis Advanced
Output: A quantitative analysis of variation by group, with the confounds acknowledged
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What does code-switching, the mixing of languages or dialects, reveal about identity and community?
Elicitation Advanced
Output: An analysis of consented code-switching data, connected to identity claims speakers make
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How is a minority or endangered language being maintained, threatened, or revitalised?
Literature review Intermediate
Output: A review of one language’s maintenance or revitalisation, assessed against stated criteria
Language, mind & technology
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What do psycholinguistic experiments reveal about how sentences are processed?
Literature review Advanced
Output: A review of psycholinguistic evidence on processing, with method limits addressed
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How well does a computational model capture a particular aspect of human language?
Literature review Advanced
Output: A review assessing one computational model against human data on a named phenomenon
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What does the study of language acquisition reveal about how children infer grammar from limited evidence?
Literature review Advanced
Output: A review of the acquisition evidence and what it establishes about the poverty of the stimulus
Language as Data
The raw material of linguistics research is always language: utterances, sentences, texts, transcripts, or corpora. Unlike many fields, this material is everywhere and freely accessible. Free tools such as the British National Corpus, COCA, and Google Books Ngram Viewer give a student access to millions of examples of language in use, sufficient to investigate real research questions systematically.
A mentor helps a student choose the right kind of data for their question, design an analysis that is genuinely systematic rather than impressionistic, and write up findings in the careful, hedged way that linguistics demands. That combination of analytical clarity and epistemic honesty is what distinguishes linguistics from opinion about language.
Free PDF
Take the 50 strongest ideas with you
A free PDF with fifty of these questions tagged by method and difficulty, the output each should produce, and the feasibility checklist we apply before recommending any project. We email it to you, along with occasional guidance worth having. No obligation, and your details are not passed to anyone.
Taking a Question Further
Linguistics connects to literature, philosophy, psychology, computer science, and anthropology. For the wider context, see our Humanities & Media field page, our companion guides to philosophy and psychology, and our broader research project ideas across all six fields. When you are ready to develop a project with a mentor who works in the field, the Research Scholar programme is built for exactly that.
Frequently Asked Questions
What does linguistics research involve at school level?
Linguistics research investigates the structure, use, and social life of language. At school level, this usually means analysing language data, studying a specific grammatical or phonological phenomenon, examining how language varies across communities or contexts, or investigating how language shapes or reflects social patterns. Corpus linguistics tools online make a great deal of language data freely available.
Do I need to know a foreign language to do linguistics research?
Not necessarily, though knowing more than one language opens up interesting comparative questions. Many excellent projects work entirely in English, examining how specific features of the language work or vary. That said, cross-linguistic projects, comparing how two languages handle the same grammatical problem, are particularly compelling and manageable if you have a second language.
What subjects pair well with linguistics?
Linguistics sits naturally alongside literature, psychology, anthropology, computer science, and philosophy. Students from language backgrounds, maths backgrounds (formal linguistics has deep connections to logic and computation), and psychology backgrounds all bring useful perspectives. A mentor introduces the theoretical frameworks the project needs.
Is a linguistics project useful for applications?
Directly so for linguistics, language, and English literature courses, and valuable for psychology, philosophy, and computer science applications too. More broadly, the ability to analyse language precisely and systematically is increasingly valued. It is a field where rigour and creativity combine in ways that admissions readers find distinctive.
Now placing students for the October start. Places in each field are limited by mentor availability. We review applications on a rolling basis.
ScholarBridge matches students with doctoral-level or equivalent research mentors across six academic fields. Every project is student-led and completed to a standard the student can stand behind in any university interview.
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