Debian Science Linguistics packages

An open-source shallow-transfer machine translation engine, Apertium is initially aimed at related-language pairs.

It uses finite-state transducers for lexical processing, hidden Markov models for part-of-speech tagging, and finite-state based chunking for structural transfer.

The system is largely based upon systems already developed by the Transducens group at the Universitat d'Alacant, such as interNOSTRUM (Spanish-Catalan, http://www.internostrum.com/welcome.php) and Traductor Universia (Spanish-Portuguese, http://traductor.universia.net).

It will be possible to use Apertium to build machine translation systems for a variety of related-language pairs simply providing the linguistic data needed in the right format.

Artha is a handy English thesaurus having distinct features like look up on a global hot key press, passive notifications of a selected text's definitions, suggestions for misspelled words, etc. Once launched, it sits on the system tray monitoring for a pre-set hot key combination. When some text is selected on any window and the hotkey is pressed, it pops-up with the word looked-up. Should the user prefer passive notifications over the app. popping-up, this can be done by enabling the notifications option.

Artha is written from scratch in pure C using GTK+, with WordNet as it database corpus. It may be used as an advanced replacement for the proprietary WordWeb in GNU/Linux environments.

In Selator, D. and Temperly, D. "Parsing English with a Link Grammar" (1991), the authors defined a new formal grammatical system called a "link grammar". A sequence of words is in the language of a link grammar if there is a way to draw "links" between words in such a way that the local requirements of each word are satisfied, the links do not cross, and the words form a connected graph. The authors encoded English grammar into such a system, and wrote this program to parse English using this grammar.

link-grammar can be used for linguistic parsing for information retrieval or extraction from natural language documents. It can also be used as a grammar checker.

This package contains the user-executable binary.

WordNet(C) is an on-line lexical reference system whose design is inspired by current psycholinguistic theories of human lexical memory. English nouns, verbs, adjectives and adverbs are organized into synonym sets, each representing one underlying lexical concept. Different relations link the synonym sets.

WordNet was developed by the Cognitive Science Laboratory (http://www.cogsci.princeton.edu/) at Princeton University under the direction of Professor George A. Miller (Principal Investigator).

WordNet is considered to be the most important resource available to researchers in computational linguistics, text analysis, and many related areas. Its design is inspired by current psycholinguistic and computational theories of human lexical memory.

Binary and manpages of WordNet as well as general manpages.

WordNet SQL Builder is a Java utility to generate SQL database from WordNet standard database as released by the WordNet Project (Princeton University)

Features

• Support for MySql and PostGreSQL.
• Complete port (however, orphaned morphological forms are dropped, and so are VerbNet/XWordNet data that cannot be linked to WordNet entries).
• Incremental build support.
• Retains synset index as primary key allowing easy reference to wordnet original database
• Includes support for WordNet 3.0
• Includes support for WordNet 2.0 to 2.1, 2.1 to 3.0, 2.0 to 3.0 sense maps
• Includes support for VerbNet 2.3
• Includes support for XWordNet 2.0-1.1
• Ready-to-use database (see wnsqldatabase package in download section) including
• WordNet 3.0
• WordNet 2.0 to 2.1, 2.1 to 3.0, 2.0 to 3.0 sense maps
• VerbNet 2.3
• XWordNet 2.0-1.1
• British National Corpus statistical data (for commonly used-words)