Human Language Technology Center of Excellence

Run Mechanical Turk in your Local Environment

Python modules and scripts for working with Concrete, a data serialization format for NLP

Patapsco CLIR pipeline

Baseline Model Implementation - a kind of continuous active learning for high recall retrieval

Concrete file server that implements fetch and store services.

N-gram-based text classification training and serving

Java library for Concrete, a data serialization format for NLP

CADET is a system for rapid discovery, annotation, and extraction on text

Inspecting neural models in terms of intrinsic, supervised, and unsupervised metrics

Dockerfile for Kaldi - https://github.com/kaldi-asr/kaldi

Search service over Concrete communications using Lucene

Concrete Search demo

Concrete FetchCommunicationService bundled with "WikiQA corpus"

CADET User Interface

Base image containing a coherent Java and Python environment for the Concrete ecosystem

Simple web server for Concrete definitions and APIs

Implementation of Fetch and Store services using a file system backend