Search Results for "ofn-extract-objects.py"

...Code and tests are automatically generated from CLDR data. Supports strings with named variables using text/template syntax. Supports message files of any format (e.g. JSON, TOML, YAML). Use goi18n extract to extract all i18n.Message struct literals in Go source files to a message file for translation. Create an empty message file for the language that you want to add (e.g. translate.es.toml). Run goi18n merge active.en.toml translate.es.toml to populate translate.es.toml with the messages to be translated. The goi18n command manages message files used by the i18n package.

...In addition, the tool also provides other helpful functionalities that complement the primary purpose, which include a Key Word In Context (KWIC) concordance, in addition to frequency lists of all words, lemmas and roots in the holy Quran. The main intended users of this tool are Arabic Quranic scholars and linguists. The Meaning Explorer applies a new distributional semantic model to extract words’ significant co-occurrences from the Quran. This model is based on the Refined MI association measure applied to all words within a symmetric sliding window of five words surrounding the node word. The Refined MI association measure is chosen because of its remarkable ability ability to extract syntagmatic relations between the words of the Quran.

TIES (Text Information Extraction System) is a clinical text search engine that uses Natural Language Processing techniques to extract medical concepts from free text clinical reports. It provides secure de-identified access to this information and has in built collaboration tools and honest broker functionality. It is licensed for academic use under the BSD license. For commercial use please contact Nexi at http://nexihub.com *** NOTICE: this software and forum are no longer maintained, as of 8/15/2019. ...

Web pages do not offer reliable metadata concerning their creation date and time. However, getting the document creation time is a necessary step for allowing to apply temporal normalization systems to web pages. DCTFinder is a system that parses a web page and extracts from its content the title and the creation date of this web page. DCTFinder combines heuristic title detection, supervised learning with Conditional Random Fields (CRFs) for document date extraction, and rule-based creation...

...The algorithm is described in detail in: Ilyes Rebai, and Yassine BenAyed 'Text-to-speech synthesis system with Arabic diacritic recognition system', Computer Speech & Language, 2015. We appreciate it very much if you can cite our related work. ************** Installation *************** - Extract the archive "ArabicDiacritizer Setup.rar". - Install the application using "Setup.exe". - Put an Arabic text in the Text Box. - Start the diacritization process. If the following problem occured: <Access to the path '..\ArabicDiacritizer v1.0\text.data' is denied> - Access to the path "Program Files\ArabicDiacritizer\ArabicDiacritizer v1.0\", - Right click on "ArabicDiacritizer" - Choose "Run as administrator" For further information, please contact: rebai_ily

CLEiM (Cross Lingual Education in Medicine) is an opensource version of an Intelligent System which extract concepts from medical texts and provides qualified information. It integrates information from various sources. This system has been developed by the Intelligent System Group GSI (http://www.esi.uem.es/gsi/) at UEM University. We do NER (Named Entity Recognition) based on GATE platform. The installation is simple, you can use it as a Web application.

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 application was developed by the NIHR Biomedical Research Centre at the Institute of Psychiatry and South London and Maudsley NHS Foundation Trust, in collaboration with the University of Sheffield. Its purpose is to identify the smoking status of a individual, based on text evidence in clinical notes. Currently, it classifies patients as 'current', 'past' or 'never'. It runs on the GATE infrastructure, available at http://gate.ac.uk/. Please contact richard.g.jackson@slam.nhs.uk for...

iLastic is an open-source framework to query, integrate and manipulate any type of data in English. Extract, transform and merge information from the web, databases, files or any other data repository using a language you already know... English