Computational Linguistics Village

Information

Computational Linguistics Village

Ever wonder how Google Translate works? It's computational linguistics! Join us here and learn all about it and more. Jim White will be our guide. Enjoy!

Members: 15
Latest Activity: May 6, 2018

About Computational Linguistics Village

Stay tuned while Jim White ramps up our newest group!

Discussion Forum

Omni Fluent

Here's an app you'll like - it's called …Continue

Tags: carey, codetown, computational, jim, translation

Started by Michael Levin Sep 25, 2012.

What is Computational Linguistics? 4 Replies

Jim, this is your cue! From what you've described, we're all more involved in Computational Linguistics than we think. When a call is "recorded for training purposes", when you use voice activation,…Continue

Tags: voice, activation, linguistics, white, Jim

Started by Michael Levin. Last reply by Michael Levin Nov 25, 2011.

Technologies that support Computational Linguistics

Jim, What are some technologies (for lack of a better word) that "support" compuational linguistics. These might include algorithms, recording techniques, data lookups. There's a whole body of…Continue

Tags: voice, linguistics, computational

Started by Michael Levin Oct 25, 2011.

Examples of Computational Linguistics

Jim, You described to me some shining examples of computational linguistics, such as Google Voice. What are the most active, popular examples?

Tags: voice, linguistics, computational

Started by Michael Levin Oct 25, 2011.

Comment Wall

Comment

You need to be a member of Computational Linguistics Village to add comments!

 

Members (14)

 
 
 

Happy 10th year, JCertif!

Notes

Welcome to Codetown!

Codetown is a social network. It's got blogs, forums, groups, personal pages and more! You might think of Codetown as a funky camper van with lots of compartments for your stuff and a great multimedia system, too! Best of all, Codetown has room for all of your friends.

When you create a profile for yourself you get a personal page automatically. That's where you can be creative and do your own thing. People who want to get to know you will click on your name or picture and…
Continue

Created by Michael Levin Dec 18, 2008 at 6:56pm. Last updated by Michael Levin May 4, 2018.

Looking for Jobs or Staff?

Check out the Codetown Jobs group.

 

Enjoy the site? Support Codetown with your donation.



InfoQ Reading List

Arm Launches AI-Powered Copilot Assistant to Migrate Workflows to Arm Cloud Compute

At the recent GitHub Universe 2025 developer conference, Arm unveiled the Cloud migration assistant custom agent, a tool designed to help developers automate, optimize, and accelerate the migration of their x86 cloud workflows to Arm infrastructure.

By Sergio De Simone

Presentation: WASM in the Enterprise: Secure, Portable, and Ready for Business

Andrea Peruffo explains the power of server-side WebAssembly, especially on the JVM. Using Red Hat's Chicory runtime, he details how to achieve secure sandboxing, fault isolation, and cross-architecture portability without foreign function interfaces. Learn through case studies how WebAssembly solves real-world enterprise problems, including achieving 10x - 40x speedups with AOT compilation.

By Andrea Peruffo

System Initiative Unveils Expansion with Real-Time Multi-Cloud Discovery and Automation

System Initiative recently announced a major set of new capabilities designed to give engineering organizations instant, real-time visibility and AI-driven control across any cloud platform or API.

By Craig Risi

Memori Expands Into a Full-Scale Memory Layer for AI Agents Across SQL and MongoDB

Memori is an innovative, open-source memory system that empowers AI agents with structured, long-term memory using standard databases like SQL and MongoDB. It seamlessly integrates into existing frameworks, enabling efficient data extraction and retrieval without vendor lock-in. Ideal for developers, Memori's modular design ensures reliability and scalability for next-gen intelligent systems.

By Robert Krzaczyński

How Discord Scaled Its ML Platform from Single-GPU Workflows to a Shared Ray Cluster

Discord has detailed how it rebuilt its machine learning platform after hitting the limits of single-GPU training. The changes enabled daily retrains for large models and contributed to a 200% uplift in a key ads ranking metric.

By Matt Foster

© 2025   Created by Michael Levin.   Powered by

Badges  |  Report an Issue  |  Terms of Service