Computational Linguistics Scholarships (2026) — Verified NLP, Linguistics & Language Tech Funding
January
1) University of Illinois Linguistics PhD Funding + Computational Linguistics Certificate Path
Why It Slaps: This is a smart fit for students whose work crosses linguistics, language analysis, second-language acquisition, and computational methods. Illinois is not marketing this as a standalone “computational linguistics scholarship,” but the fit is real: PhD applicants are considered for funding automatically, the department provides multi-year support, and students in the program can also earn a Graduate Certificate in Computational Linguistics. That makes it strong for applicants who want a deeper linguistics home while still building formal computational-linguistics credentials.
Amount: Full funding package with stipend, tuition waiver, and health insurance; the department says support is typically up to five years for Stage 1 admits and four years for Stage 2 admits.
Deadline: January 5, 2026 regular deadline; December 1, 2025 fellowship-priority deadline.
Apply/info: Official page
2) Brandeis University Master’s Program in Computational Linguistics Scholarships
Why It Slaps: Brandeis is one of the few places where the program title itself matches what students are actually searching for. That matters. If you want a direct-fit master’s option in computational linguistics, this one belongs on the page. It is especially attractive for students who want language modeling, formal linguistics, and practical language-tech training without having to squeeze themselves into a broader CS-only scholarship funnel. Brandeis also says it supports the majority of master’s students with loans and scholarships, which makes this more promising than many graduate programs that offer zero named aid at the program level.
Amount: Varies. Brandeis says the majority of master’s students are supported with loans and scholarships, but it does not publish a single fixed scholarship amount on the program page.
Deadline: January 15 priority deadline; applications may continue on a space-available basis until April 1.
Apply/info: Official page
February
3) University of Rochester MA/MS Tuition Award for Linguistics and Computational Linguistics Applicants
Why It Slaps: Rochester is a legit pick for students whose interests sit in computational linguistics, formal linguistics, language acquisition, phonetics, or cognition with computational crossover. What makes this one useful is that the department openly states that a merit tuition award may be available for some of the strongest master’s applicants. That is not full funding, but it is still real money in a field where many master’s programs offer little or nothing. It is a strong “worth applying” option for students with a solid academic record who want a serious research-facing environment.
Amount: Reduced tuition through a merit tuition award; amount varies by applicant.
Deadline: February 1, 2026 for MA and MS applications.
Apply/info: Official page
4) UC Santa Cruz NLP MS Fellowship Support
Why It Slaps: This is one of the better real-world fits for students targeting NLP, language technology, speech/text applications, or computational language work. UC Santa Cruz explicitly says eligible NLP students may receive fellowship support that includes stipends and partial payment of fees and tuition. That makes it stronger than pages that only hint vaguely at aid. It is also a good option for students who want a program that reads more like modern language tech than traditional theoretical linguistics. If your goals lean toward industry-facing NLP, this is a practical and credible fit.
Amount: Varies; may include stipends and partial payment of fees and tuition.
Deadline: February 2, 2026 early decision; April 15, 2026 late decision.
Apply/info: Official page
March
5) University of Washington MS in Computational Linguistics Program Scholarships
Why It Slaps: This is one of the cleanest direct hits in the entire guide. The University of Washington explicitly offers program scholarships to incoming computational linguistics students, and it is one of the rare cases where the official page actually tells you the rough value. For students who want a program that is clearly about computational linguistics rather than vaguely adjacent AI, this is exactly the kind of listing that deserves top-page placement. It is especially useful because the scholarship is open to both U.S. and international students, which makes it broader than many funding options in this space.
Amount: About one-third of total course fees for each scholarship recipient.
Deadline: March 1, 2026. Applications received by this deadline get full consideration for both admission and program scholarships.
Apply/info: Official page
6) University of Washington Ryan Neale Cross Memorial Fellowship
Why It Slaps: This one is more niche, but that is exactly why it belongs here. The fellowship is specifically for students studying computational linguistics with the goal of improving accessibility through assistive technology. That gives the award a powerful mission-driven angle for applicants interested in inclusive design, assistive NLP, speech interfaces, accessible communication tools, and language technology that solves real human problems. It is one of the best fits in this guide for students who want their computational linguistics work to matter outside the lab.
Amount: Not publicly specified on the official page.
Deadline: Tied to the main UW application cycle, with March 1, 2026 as the key application deadline.
Apply/info: Official page
April
7) Charles University Computational Linguistics Scholarship 2026
Why It Slaps: This is one of the strongest direct-name matches anywhere right now. It is not merely “linguistics-adjacent.” It is a scholarship built specifically around Language Technologies and Computational Linguistics at the master’s level. The financial package is unusually clear and unusually strong: tuition coverage plus a living-expense contribution. That combination makes it one of the most concrete and actionable items in this whole guide. If your audience includes international students or students open to studying abroad, this deserves prominent placement.
Amount: Tuition for 2026/27 and 2027/28 plus a living-expense contribution of 120,000 CZK per academic year; tuition is listed as 4,200 EUR/year for EU students and 7,100 EUR/year for non-EU students.
Deadline: April 30, 2026.
Apply/info: Official page
8) Google PhD Fellowship Program
Why It Slaps: For PhD students in computational linguistics, NLP, language modeling, human language technologies, or related AI research, this is one of the biggest prestige plays on the board. It is not a beginner-friendly undergrad scholarship, but for advanced doctoral researchers it can be a career-shaping signal. The official page notes that details vary by region, which matters, but the program still stands out because it supports top PhD work in computer science and related fields. If a student is already deep into language-tech research, this is the kind of fellowship that can open doors far beyond the money itself.
Amount: Varies by region; Google says fellowship details vary by region and country.
Deadline: April 30, 2026 at 11:59:59 PM UTC.
Apply/info: Official page
November
9) NSF Graduate Research Fellowship Program (GRFP)
Why It Slaps: This is one of the biggest national research fellowships a computational linguistics student can realistically target in the U.S. It is especially relevant for research-based master’s and PhD students whose work touches NLP, language modeling, speech, psycholinguistics with computational methods, or interdisciplinary language science. What makes GRFP so strong is portability and prestige: it funds the researcher, not just the project, and that flexibility matters in a field where students may move between linguistics, computer science, cognitive science, and AI-heavy departments.
Amount: $37,000 stipend plus $16,000 cost-of-education allowance for each fellowship year, with three years of support over a five-year period.
Deadline: For computational-linguistics-adjacent applicants filing under Computer and Information Science and Engineering, the current posted deadline was November 12, 2025.
Apply/info: Official page
10) Critical Language Scholarship (CLS)
Why It Slaps: CLS is not a computational linguistics scholarship in name, but it is an excellent strategic fit for students who need deep language ability to do better future work in language data, cross-lingual NLP, under-resourced languages, translation technology, or language-focused research. In plain English: better language depth can make you much more interesting and much more capable in computational linguistics. For U.S. students especially, CLS is a strong pipeline-building award that gives your profile substance, not just funding.
Amount: Varies by program; CLS is a U.S. government-funded immersive summer language program rather than a fixed cash scholarship.
Deadline: November 18, 2025 at 8:00 PM Eastern for the 2026 program cycle.
Apply/info: Official page
11) GEM Fellowship Program
Why It Slaps: GEM is a serious option for computational linguistics students whose pathway runs through computer science, applied science, data, AI, or engineering-oriented language technology. It is not a linguistics-branded award, but it absolutely belongs in a smart computational-linguistics guide because many students in this field are trained through technical graduate departments. The real strength here is that GEM can combine tuition support, stipend support, and industry experience. That makes it especially attractive for students who want computational linguistics to turn into a practical, employable career instead of only an academic specialization.
Amount: For MS fellows, GEM lists full tuition and fees plus a minimum $16,000 total stipend over the master’s program; some categories also list at least $8,000 per year for master’s students and $16,000 per year for PhD students.
Deadline: The GEM complete application deadline is the second Friday in November each year.
Apply/info: Official page
December
12) Georgetown University PhD in Computational Linguistics Funding
Why It Slaps: This is one of the best direct doctoral fits in the U.S. because the program itself explicitly includes a Computational Linguistics concentration. Better yet, Georgetown states that all admitted PhD students are offered funding and that there is no separate funding application. That removes one of the most frustrating parts of graduate funding hunts. If a student wants a true language-science environment with a clear computational linguistics lane, this is one of the cleanest doctoral options to feature.
Amount: Full funding package; the department says all admitted PhD students are offered funding, but it does not publish one fixed dollar amount on the department page.
Deadline: December 1 for PhD admission.
Apply/info: Official page
13) Yale Linguistics PhD Funding
Why It Slaps: Yale is broader than a pure computational linguistics program, but it is still a meaningful fit for students whose computational work is grounded in serious language science. It is particularly attractive for applicants who want theory, formal analysis, and language research strength while preserving the option to push into computational directions. The funding package is also strong enough that it earns a spot even as an adjacent-fit entry rather than a direct-title match. If your audience includes high-end PhD applicants who are stronger in language science than pure engineering, Yale is worth surfacing.
Amount: Full tuition and student healthcare plus a published minimum $50,777 annual stipend for 2025–26 humanities/social sciences PhD students.
Deadline: Yale Linguistics says all requirements are due by December 1 the year before entry.
Apply/info: Official page
14) Stanford Linguistics PhD Funding
Why It Slaps: Stanford belongs in this guide for students whose research interest touches computational linguistics, formal linguistics, language and cognition, or AI-language questions from the linguistics side. The key draw is not a named departmental scholarship but the funding structure: Stanford states that offers of admission to the Linguistics PhD include funding for the full five years of doctoral study, including tuition and stipend. That makes this a strong high-ceiling option for advanced applicants aiming at elite doctoral training with room to build computational work into their research path.
Amount: Full funding for five years of doctoral study, including tuition and stipend.
Deadline: December 2, 2025 for study beginning in the 2026–27 academic year.
Apply/info: Official page
Institution-Set / Varies
15) Foreign Language and Area Studies (FLAS) Fellowships
Why It Slaps: FLAS is one of the best “hidden in plain sight” funding plays for computational linguistics students working with less commonly taught languages, regional language expertise, corpus building, multilingual systems, or language documentation that feeds future NLP work. It is not a single national direct-to-student application. Instead, students apply through universities that receive FLAS funding. That extra step keeps some applicants away, which is exactly why smart students should pay attention. If your work needs language depth, FLAS can be a serious money move.
Amount: For graduate academic-year awards, the Department of Education lists up to $18,000 in institutional payment for tuition/fees plus a $20,000 stipend, for a total of up to $38,000.
Deadline: Varies by institution. Students apply directly to participating universities, not to the U.S. Department of Education.
Apply/info: Official page
FAQs
Are there many scholarships labeled exactly “computational linguistics”?
Not really. The stronger strategy is to target three buckets at once: direct computational-linguistics program funding, NLP/language-tech graduate funding, and language-study or research fellowships that make your computational-linguistics profile stronger.
Is this guide mostly for graduate students?
Yes. That is the reality of this niche. Most of the strongest verified fits in computational linguistics are at the master’s, PhD, or fellowship level. Undergraduate students should still watch programs like CLS and FLAS and start building toward graduate-level research funding.
What majors should qualify as a real fit for these awards?
Computational linguistics, linguistics, NLP, computer science, AI/ML, data science, cognitive science, speech and hearing science, psycholinguistics, human language technology, and some translation/language-technology pathways can all be legitimate fits depending on the award.
Should I apply if my degree title is not literally “computational linguistics”?
Yes. In fact, many good applicants in this space come from linguistics + coding, computer science + language, or cognitive science + NLP combinations. The best applications make that bridge explicit.
