Application Execution
10. Application Execution: Turning Your Work into Clear Evidence for Admissions Readers
Fatima, strong applications are not only about what you have done—they are about how clearly admissions officers can understand your work in a very short amount of time. Most readers will spend only a few minutes on each file, so the goal is to make every technical or research-oriented activity easy to verify, easy to explore, and clearly attributable to you.
Because your intended field is linguistics or computational linguistics, the committee emphasized the importance of documenting any technical work in a transparent and accessible way. When projects involve code, datasets, or language tools, admissions officers often appreciate the ability to quickly view the work itself. That means organizing links, documenting your role, and using the application’s Additional Information section strategically.
Below is how to execute this effectively across your applications to MIT, West Chester University of Pennsylvania, and the University of Minnesota–Twin Cities.
Where to Place Technical Evidence in the Application
Most universities you are applying to use the Common Application or an institutional portal. Both systems allow limited space for describing activities, so links and supplemental documentation become especially important.
| Application Area | How to Use It Effectively |
|---|---|
| Activities Section | Provide concise descriptions of technical work. If relevant, include a short link to a repository or project page. |
| Additional Information Section | Explain complex projects, datasets, or tools that cannot be described within the activity character limit. |
| Portfolio or Supplement Uploads | If a school allows additional documents, consider including a short technical overview or research abstract. |
| External Links | Provide direct links to GitHub repositories, datasets, documentation pages, or research preprints. |
Admissions readers should be able to understand both the purpose of the project and your role in building it within seconds.
Linking Code, Data, and Technical Work
If you submit any computational linguistics or programming-related work, linking to the source is valuable. Direct links help demonstrate that the project is real, organized, and technically substantive.
Examples of useful links include:
- GitHub repositories containing code for language processing tools
- Documentation explaining how a dataset was created or structured
- Research-style writeups or preprints if you produced formal analysis
- Dataset download pages or structured linguistic corpora
When linking repositories, make sure they are clean and readable. Admissions officers will not deeply analyze the code, but they often skim repository structure, documentation, and commit history to verify authenticity.
Before submitting applications, review each repository and ensure:
- A clear README explaining the project
- A short description of the linguistic or computational goal
- Instructions for running or exploring the code
- Well-organized files and folders
If you have not yet created public repositories for relevant work, consider organizing them before application season.
Demonstrating Technical Ownership
For technical admissions reviewers, one of the most important questions is what part of the work you personally built. Collaborative projects are valuable, but the application must make your contribution explicit.
Ways to document ownership include:
- GitHub commit history showing your code contributions
- Repository sections listing you as the primary author or maintainer
- Documentation identifying which components you implemented
- Short activity descriptions stating your leadership or development role
For example, instead of describing a project vaguely as “worked on a language dataset,” a stronger execution would clarify:
- Who created the dataset structure
- Who wrote the preprocessing scripts
- Who handled linguistic annotation or classification
If multiple collaborators were involved, simply state the structure of the team and your role within it.
Using the Additional Information Section Strategically
The Additional Information section of the Common Application is one of the most underused spaces in technically oriented applications. This section is ideal for explaining projects that require more than a short activity description.
If you developed a language dataset, corpus, or computational tool, this section can briefly describe:
- The purpose of the dataset or tool
- The scale of the project (for example number of entries or languages)
- The technical methods used
- How the resource might be used by others
The goal is not to write a full research paper—just enough context so an admissions reader understands the significance of the work.
For example, if you built a linguistic dataset, the Additional Information section might briefly clarify:
- What linguistic phenomenon the dataset captures
- How the data was collected or annotated
- What computational methods interact with it
- Where the repository or documentation can be accessed
This is especially helpful when the project structure cannot fit within the standard activity description limits.
Information You Have Not Provided Yet
Several logistical details that affect application execution have not yet been provided. You should make sure these elements are prepared well before submission:
- Your full list of extracurricular activities
- Any research, programming, or dataset-related projects
- Links to repositories or technical documentation
- Your high school coursework and academic rigor
If any computational linguistics projects exist but are not yet publicly documented, consider organizing them into repositories or project pages during the coming months so they can be referenced cleanly in applications.
Application Timeline (Junior Spring → Senior Fall)
| Month | Execution Priorities |
|---|---|
| May (Junior Year) |
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| June |
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| July |
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| August |
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| September |
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| October |
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| November |
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For essay preparation and narrative framing, see §06 Essay Strategy. The work in this section is focused purely on making sure your technical contributions are visible and verifiable.
Final Execution Checklist
- All projects referenced in your activities section have working links.
- Repositories include clear README files and documentation.
- Commit history or documentation demonstrates your contributions.
- The Additional Information section explains complex datasets or tools.
- Links are short, clean, and accessible without login requirements.
Fatima, the most important principle here is clarity. Admissions readers should never have to guess what you built, how large the project was, or what role you played. When your technical work is documented clearly and linked directly, it becomes much easier for universities like MIT or the University of Minnesota–Twin Cities to see the depth of your engagement with language and computation.