Search Results for "zero"

“DSL KeyPad” is a utility written on AutoHotkey 2.0, designed for inputting a wide range of characters using hotkeys and auxiliary functions. Its primary focus is on enhancing input capabilities for Latin and Cyrillic scripts, allowing typing in multiple languages without the need for separate keyboard layouts for each language. Requires common QWERTY (English US)/ЙЦУКЕН (Russian) keyboard layouts. More than 6,300 Unicode characters are available. Additionaly, it supports typing on the...

...“Musaheb” is able to extract n-gram collocations up to 5-gram, in addition to extracting the collocates of the nodes (the word-types we are looking for its collocates) within a window size of zero to 15 words. Moreover, it provides eight collocation statistics to calculate the strength of the collocation, and permits the input of various constraints during node selection and collocate extraction. Based on the user preferences for the node, concordance and collocates selection, the tool saves all nodes and their associated collocates in an XML file; allowing easy conversion to different formats.

...Wikipedia text is available under Creative Commons Attribution-ShareAlike 3.0 License. https://en.wikipedia.org/wiki/Wikipedia:About To cite the corpora: M. Saad, D. Langlois, and K. Smaïli. Extracting Comparable Articles from Wikipedia and Measuring their Comparabilities. Procedia - Social and Behavioral Sciences, 95(0):40 – 47, 2013. ISSN 1877-0428.

...PLEASE GO TO BROWSE ALL FILES TO READ A FULL DESCRIPTION. The goal of this project is simple: Input two sentences of the same language, and obtain the number (from 0 to 1) denoting the similarity between the inputted sentences, according to semantic categories. This project models my previous project: https://sourceforge.net/projects/semantics/ Difference is, this project does not use any database and computes any Strings as an input. JAVA was the language of choice, due to availability of modelling tools. ...

...It is currently in it's alpha stage and we expect to have a beta release by November 2012. If you would like to help with the development or testing of this product please contact us at +31[0]15 76 40 750 - of info {at} incentro.com. Deze applicatie is ontwikkeld door Incentro om te voldoen aan klantaanvragen voor een sentimentanalyse module voor de Nederlandse taal. Momenteel is de module in alpha versie beschikbaar en een beta versie wordt verwacht in november 2012. Als u ons wilt helpen bij het ontwikkelen of testen van deze module, neem dan contact op met Incentro via +31[0]15 76 40 750 - of info {at} incentro.com.

LR(k) parser generator (k>=0) implementation.

Self-Healing Localization Layer (SHL) is a Python localization engine that automatically creates, synchronizes, and maintains language files throughout the lifetime of your application.