LingHacks is California's first computational linguistics-themed hackathon (24-hour coding event) series for high schoolers. Our goal is to expose students of all backgrounds to the field of natural language processing and inspire students to pursue computer science in their careers. LingHacks is a 24-hour invention competition where you come together with a team and build a software project that integrates computational linguistics and solves a scientific or social problem.
Computational linguistics, otherwise known as natural language processing, is the field of artificial intelligence that applies to the synthesis and analysis of language and speech. Things like machine translation technologies, voice assistants, search engines, and chatbots are all powered by computational linguistics tools. It's a fascinating synergy of scientific techniques applied to an elegant humanity that is part and parcel of our core human identities.
Eligibility
High school students at or over the age of 13 at any experience level are welcome! There is no linguistics or programming experience required! We have designed workshops and will have mentors onsite to help you gain skills in programming, computational linguistics, and research.
Teams can be between 1 and 4 people, and you don't need to have a team or an idea beforehand--we'll have ideation and team-forming sessions!
Prizes
1st Overall
$3000 Horizons School of Technology scholarship
Google Cardboards
2nd Overall
Fitbits
Jetbrains licenses
3rd Overall
Particle Electrons (IoT development boards) with 3G sensor kit
$25 AoPS gift certificates
Think Boards
Top 10 Teams
1 year of Wolfram|One Personal Edition
1 year of Wolfram|Alpha Pro
Best .tech Domain
$50 Amazon gift card each
Devpost Achievements
Submitting to this hackathon could earn you:
Judges
Shervin Oloumi
Corporate Engineer, Google
Karen Kincy
Software Engineer, Google
Alicia Wong
WBB Student, University of Southern California
Mimee Xu
Machine Learning Engineer, UnifyID
Paul Cousineau
Director - Household Organization, Alexa, Amazon
Allan Huang
EECS Student, UC Berkeley
Andrew Chang
Computer System Architect, Samsung
Jacopo Daeli
Lead Software Engineer, GoDaddy
Catherine Yeo
Founder, PixelHacks
Judging Criteria
-
Creativity
Do other things like this exist? Is it a new and unexpected application of NLP? -
Practicality
Does it solve a real-world problem? Could it be implemented in the near future? -
Complexity
How difficult was it to make the project? -
Potential
Does it have the potential for long-term research and development? -
Research
Was the idea thoroughly researched? Were sources and previous research cited? Are potential pitfalls and workarounds acknowledged? -
Understanding
Was the project and all accompanying algorithms thoroughly explained? -
Completeness
Is your algorithm or model reliable? Is it accurate and precise?
Questions? Email the hackathon manager
Tell your friends
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
