The Link Grammar Parser (link-grammar) is a syntactic parser of English, Russian, Arabic, and Persian (and other languages as well), based on link grammar, an original theory of English syntax. Given a sentence, the system assigns to it a syntactic structure, which consists of a set of labelled links connecting pairs of words. The parser also produces a "constituent" (Penn tree-bank style phrase tree) representation of a sentence (showing noun phrases, verb phrases, etc.). The RelEx extension provides dependency-parse output.
OpenCog is an Open Source software project aimed at directly confronting the AGI challenge, based on mathematics and using biologically inspired algorithms, including algorithms for common-sense reasoning and machine learning. Components include natural language processing and speech generation, robotics, game control, and vision.
DKPro Core is a collection of software components for natural language processing (NLP) based on the Apache UIMA framework. Many powerful and state-of-the-art NLP components are already freely available in the NLP research community. New and improved components are being developed and released continuously. The components cover the whole range of NLP-related processing tasks. DKPro Core provides wrappers for such third-party tool as well as original NLP components. DKPro Core builds heavily on uimaFIT which allows for rapid and easy development of NLP processing pipelines.
WebAnno is a general purpose Web-based annotation tool for a wide range of linguistic annotations. It offers annotation project management, freely configurable tagsets, and the management of users in different roles. It uses technology from the brat rapid annotation tool for visualizing and editing annotations in a Web browser. It supports annotation and visualization of arbitrarily large documents, pluggable import/export filters, the curation of annotations across various users, and farming out annotations to a crowdsourcing platform.
DKPro WSD provides UIMA components which encapsulate corpus readers, linguistic annotators, lexical semantic resources, WSD algorithms, and evaluation and reporting tools. You configure the components, or write new ones, and arrange them into a data processing pipeline. DKPro WSD is modular and flexible. Components which provide the same functionality can be freely swapped. You can easily run the same algorithm on different data sets, or test several different algorithms on the same data set.
TWSI is software that produces lexical substitutions in context for over 1000 frequent nouns. It processes English text. This functionality is realized by a supervised word sense disambiguation system, which is trained by sense-labeled occurrences of target words. A classification model is trained for each word, and used to decide which sense an unseen occurrence most likely belongs to. Associated with senses are lists of substitutions, which are injected into the text using inline annotation.