Multeval

Link: https://github.com/jhclark/multeval

Intro: MultEval takes machine translation hypotheses from several runs of an optimizer and provides 3 popular metric scores, as well as, standard deviations (via bootstrap resampling) and p-values (via approximate randomization). This allows researchers to mitigate some of the risk of using unstable optimizers such as MERT, MIRA, and MCMC. It is intended to help in evaluating the impact of in-house experimental variations on translation quality; it is currently not setup to do bake-off style comparisons (bake-offs can't require multiple optimizer runs nor a standard tokenization).

Related: http://www.ark.cs.cmu.edu/MT/ (Code for Statistical Significance Testing for MT Evaluation Metrics)

MacPorts

Link: http://www.macports.org/index.php

Intro: The MacPorts Project is an open-source community initiative to design an easy-to-use system for compiling, installing, and upgrading either command-line, X11 or Aqua based open-source software on the Mac OS X operating system. To that end we provide the command-line driven MacPorts software package under a BSD License, and through it easy access to thousands of ports that greatly simplify the task of compiling and installing open-source software on your Mac.

TalkBank

Link: http://talkbank.org/

Intro: The goal of TalkBank is to foster fundamental research in the study of human and animal communication. It will construct sample databases within each of the subfields studying communication. It will use these databases to advance the development of standards and tools for creating, sharing, searching, and commenting upon primary materials via networked computers.

CocoaHTTPServer

Links:
https://github.com/robbiehanson/CocoaHTTPServer
http://cocoawithlove.com/2009/07/simple-extensible-http-server-in-cocoa.html

OpenMobster - Open Source Mobile Enterprise Backend

Link: https://code.google.com/p/openmobster/
Intro:

• OpenMobster, is an open source Enterprise Backend for Mobile Apps, or 
• OpenMobster, is an open source Mobile Backend As a Service that can be deployed privately (on-premise) within your Enterprise or
• OpenMobster, is an open source MEAP (Mobile Enterprise Application Platform).

Open-source implementation of Boostexter

Link: http://code.google.com/p/icsiboost/

Intro: Boosting is a meta-learning approach that aims at combining an ensemble of weak classifiers to form a strong classifier. Adaptive Boosting (Adaboost) is a greedy search for a linear combination of classifiers by overweighting the examples that are misclassified by each classifier. icsiboost implements Adaboost over stumps (one-level decision trees) on discrete and continuous attributes (words and real values)

TurboParser - Dependency Parser with Linear Programming

Link: http://www.ark.cs.cmu.edu/TurboParser/

Intro: TurboParser is a free C++ implementation of a multilingual non-projective dependency parser based on linear programming relaxations.