Search Results for "web based"

SPPAS is a scientific computer software package written and maintained by Brigitte Bigi of the Laboratoire Parole et Langage, in Aix-en-Provence, France. Available for free, with open source code, there is simply no other package for linguists to simple use in the automatic annotations of speech, the analyses of any kind of annotated data and the conversion of annotated files. SPPAS is able to produce automatically speech annotations from a recorded speech sound and its orthographic...

The MITRE Annotation Toolkit (MAT) is a suite of tools which can be used for automated and human tagging of annotations. Annotation is a process, used mostly by researchers in natural language processing, of enhancing documents with information about the various phrase types the documents contain. MAT supports both UI interaction and command-line interaction, and provides various levels of control over the overall annotation process. It can be customized for specific tasks (e.g.,...

This program is a web application to collect and organize data of text analysis. It works with sets of texts and the analysis are done on portions of the length of a sentence. One of the preprocessing modules is based on CoGroo (A LibreOffice & OpenOffice.org Portuguese Grammar Checker).

This project aims at building an efficient indexer and search engine for natural language corpora with multilevel annotations.

This project concerns the development of human language technology resources, based on the approach to share or recycle resources between closely related language. http://gerhard.pro/closely-related-languages/

Alfanous (The Lantern - الفانوس ) is an Arabic search engine API provide the simple and advanced search in the Holy Quran , more features and many interfaces...

Automatic system of vocalization of arabic text.

This project is an approach for synonym extraction and extending WordNet by the so found synonyms. The python application is realised as a kind of pipe that starts with a web-corpus-reader which is followed by several workers (tokenizers, lemmatizers, ...) and finally completed by a result writer. In contrast to the state of the art approaches, this implementation is based on single words found in the web used as a corpus and translated to other languages. If translations of different source words intersect, it is assumed that the source words are synonymous. ...