Skip to content
TAPoR Text Analysis Portal for Research
Sign in

Tools

Sort by Name Rating ↑ Date

Natural Language Processing

FUNES

FUNES was an NLP system for analyzing short newspaper stories. It was written in Prolog and conducted syntactic parsing and semantic analysis on a text to create a case-based semantic representation.

Rated 0.0 out of 5.

Natural Language Processing

VOCAB - U - LISTER

VOCAB - U - LISTER was a tool for lemmatizing texts developed at the University of Toronto in the 1990s. It could handle Spanish text and could process as many as 2000 words at a time.

Rated 0.0 out of 5.

Visualization

SimCA 2.0

SimCA 2.0 was a program for correspondence analysis that could generate coordinates in seven dimensions for each data point.

Rated 0.0 out of 5.

Analysis

ABFREQ

ABFREQ was a tool for identifying key words within a text developed in the 1980s. It identified key words by comparing thier frequency within the user's text to the frequency of the same words in a control corpus.

Rated 0.0 out of 5.

Natural Language Processing

PANVS

PANVS was a system for syntactic analysis of Arabic text developed in the 1990s. It was written in TURBO PROLOG for IBM PS/2 computers, and included lexical and morphological analyzers, a parser, and a module for automatic spelling correction.

Rated 0.0 out of 5.

Natural Language Processing

GERTWOL

GERTWOL is a tool for the morphological analysis of German texts. A limited version for analyzing single words is now available for free through the developer's website.

Rated 0.0 out of 5.

Search

Textable

Textable is a an add-on tool developed for the Orange data mining and visualization package. Its functions include the ability to build data tables from textual data, to import data from other sources, and to build concordances and collocations. It also enables users to segment and annotate text, systematically recode data, determine subsets, and compute frequency and complexity measures.

Rated 0.0 out of 5.

Natural Language Processing

TOSCA

TOSCA was a syntactic analysis system available in the 1990s. It required users to apply word class tags and syntactic markers, which it then used for syntactic parsing.

Rated 0.0 out of 5.

Natural Language Processing

SUSS (Sunderland University SENSEVAL System)

SUSS (Sunderland University SENSEVAL System) was an algorithm for word sense disambiguation developed for the inaugural SENSEVAL event in 1998.

Rated 0.0 out of 5.

Natural Language Processing

grling-sdm

grling-sdm (graphical models for linguistic applications - supervised decomposable model search) was a system for assigning probabilistic classification to words developed for the 1998 SENSEVAL competition for word-sense disambiguation. Its selection approach also had applications to related natural language processing problems.

Rated 0.0 out of 5.