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Grafana: The open and composable observability platform
Faster answers, predictable costs, and no lock-in built by the team helping to make observability accessible to anyone.
Grafana is the open source analytics & monitoring solution for every database.
Redundancy due to cut-paste operations in text creates bias in machine learning for NLP.
This module takes a directory and produces a subset of the files in that directory (in a list) with an upper bound on similarity between two files.
Sylli is a universal syllabifier. Developed for Italian, it can easily be adapted to any language that is claimed to respect the SSP. Sylli divides timit, strings, files and directories into syllables.
Clipsyll is a collection of scripts and programs for dowloading, codifying, analysing (using NLTK) CLIPS, the largest Italian corpus of spoken language. It includes a syllabification module based on the SSP: http://sourceforge.net/projects/silly
Rezku is an all-inclusive ordering platform and management solution for all types of restaurant and bar concepts. You can now get a fully custom branded downloadable smartphone ordering app for your restaurant exclusively from Rezku.
The program provides Java interface (to C++ Lemmatizer via XML-RPC) in order to perform lemmatizing in Russian, English, and German (lemma is the canonical form of a lexeme in Natural Language Processing). RussianPOSTagger could work as a module of GATE.
MutationFinder is a biomedical natural language processing (NLP) system for extracting mentions of point mutations from free text. MutationFinder achieves high performance (99% precision, 81% recall on blind test data) as an information extraction system
Cathnet is developing the infrastructure for the Catholic Semantic Web. Technologies involved include, but are not limited to, XML, RDF, NLP, Zope, Plone and Plone products.
Collection of Python scripts providing interactions between the sociological investigation platform and webservices (such as NLP, search engine, web database).
webXcreta users natural language processing to create grammatical averages of textual communication and then generate original content based on these statistics.
Some NLP experiments starting with a tokenization attempt in Python. The code tokenite.py reads a text file "blog1.txt" and tries to tokenize it. The code doesnot work as is, but is almost on the verge of working. Any suggestions will be greatly appreciated.
I define a class called text and define methods inside it. The method count defines a generator which I use in the method named t_tok. But if you look closely at 66 to 72 you will see that I am modifying the outer limit of the for loop while in the loop. ...