TAPoR 3 Discover research tools for studying texts.

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WebLicht

WebLicht is an architecture for creating annotated text corpora. It offers a fully-functional virtual research environment with chains of RESTful web services, each providing a linguistic tool such as format conversion, tokenizing, tagging or parsing. It outputs corpora as XML documents.

Apple Pie Parser

The Apple Pie Parser is a free tool from the 1990s for generating a grammar from a syntactially tagged corpus offered by the Department of Computer Science at New York University. It generates a syntactic tree like those of the Penn Tree Bank, and is still available for download.

CETA Parser

The CETA (Centre pour l'Etude de la Traduction Automatique) Parser was a program developed in the 1960s that could automatically reduce Russian sentences to a string of words and provide equivalents for each in French. CETA developed its parser in conjunction with Professor Mel'chuk of Moscow.

Berkeley Parser

The Berkeley Parser was a program for parsing English sentences developed at the University of California at Berkeley and available in the 1960s

STAP

STAP (State Transition Network Analysis Procedure) was a program for parsing developed in the 1960s. It could determine correct parsing by following all possible branches until all possibilities permitted by its ruleset were exhausted.

DEREDEC

DEREDEC was a programming system and workbench for linguistics and text analysis written in LISP in the 1980s. It enabled syntactic and texual parsing, and could link phrases by their contenxual dependency relations.

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.

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.