Search Results for "most"

...It gives you easy access to one of these translation engines in your terminal. By default, translations with detailed explanations are shown. You can also translate the text briefly (only the most relevant translation will be shown). Translate Shell can also be used like an interactive shell; input the text to be translated line by line. Translate Shell is known to work on many POSIX-compliant systems. You may use Translate Shell from any Unix shell of your choice (bash, zsh, ksh, tcsh, fish, etc.); however, the wrapper script requires either bash or zsh installed. ...

Grammar-multi is most useful for languages which words have many forms («more» inflected languages), and for which grammatical agreement (and other syntactic connections) in a sentence is «more» important and «obvious». Need a help of linguists. Program is not for every-day use, but to show Grammar is working. If you want your language Grammar version - tell me.

Presage (formerly Soothsayer) is an intelligent predictive text entry system. Presage generates predictions by modelling natural language as a combination of redundant information sources. Presage computes probabilities for words which are most likely to be entered next by merging predictions generated by the different predictive algorithms. Presage's modular and extensible architecture allows its language model to be extended and customized to utilize statistical, syntactic, and semantic predictive algorithms. Presage's predictive capabilities are implemented by predictive plugins. ...

Fresh Memory is an application that helps to learn large amounts of any material with Spaced Repetition method. The most important subject is learning foreign words, but Fresh Memory can be also used to learn anything else. The learning data is stored as flash cards and dictionaries. The flash cards may have several fields, and the user controls what combination of fields to learn. The flashcards can have formatted text and images.

...- ----------------- The "Falcon Search" is a JAVA API and tool to search inside the documents. It was originally started to search the content in pdf files under the project "HAWK Search". Searching with this tool is query-based not word-based as in most of the document search tools OR document readers. It also takes care of jumbling of words within query and spelling mistakes. Commonly used techniques in this project are Natural Language Processing, Information Extraction and Question-Answering Architecture. ---------------------- - Latest Version - ---------------------- Details of latest version can be found on project website - http://geekdadaji.com --------------------------- - CONTACT DETAILS - --------------------------- CREATOR : SWAPNIL A JADHAV (saj1919) EMAIL ID : dadajibudhau@gmail.com WEBSITE : http://geekdadaji.com LICENSE : CC BY-NC 4.0

Linux Guist - is a Multi Lingual Live CD OS for most Asian Languages, with the ability to run of a CD & Old Hardware, with just 128 MB Memory, for DTP, Web Publishing & Data Entry purposes. This will help IT employers to take up Govt. Projects that require Data Collection, Entry & Publishing at a very very low cost, while providing Training & Job Opportunities to numerous students of these languages, in the various towns, of the country.

This is a project created and supported by: Angel Castellanos Juan Cigarrán Recuero Ana García Serrano This projects allows the modelling of textual contents by applying different techniques: TF-IDF KLD Mutual Information Chi^2 With this application the users can be able to extract the most representative terminology of a textual collection. The application is Java-based, allowing their execution in several platforms and operative systems (Windows, Linux, MacOS).

This program is made to address two most common issues with the known classifying algorithms. First, over-training and second, shortage of data for a training of categories. Instead, each TXT file is a category on its own, rather than an assigned category. In a way, this is similar to clustering but not really a clustering algorithm since there is some training involved.

...The main idea behind this tool, is to provide case-special techniques rather than general solutions to resolve complicated mathematical calculations. This will lead to have more efficient defuzzification algorithms for Mamdani's model. Most systems in Mamdani's model can be defuzzified in O(n²) or even O(n) time which n is number of membership functions in output.

...Označevanje slovenskih besedil je zelo težak problem, saj mora algoritem za označevanje pravilno izbirati med skoraj dva tisoč oznakami (število različnih oznak za označevanje angleškega besedila je zgolj okoli šestdeset). Izvorna koda je na GitHub-u (glej Wiki). // The aim of the Obeliks project is to develop the most accurate statistical tagger for the Slovene language. Morphosyntactic tagging is the process of categorizing a word in a text into a particular part of speech category and describing it with various morphological features related to that category. The source code is on GitHub (see Wiki).

EzerKb is a virtual keyboard for Windows. It emulates a keyboard with, for example, Russian, Greek, or Hebrew characters without actually installing a keyboard driver for that language. EzerKb works with most (but not all) Windows programs.

Supertagging is a process of statistical lexical disambiguation, preprocessing step to parsing, which assigns LTAG tree categories to the lexical items present in the input sentence. Thus, if the input sentence is in the form of a dependency tree, the task of the supertagger is to assign the most probable TAG family to each node and edge in the dependency tree.