A fully customisable language detection pipeline for spaCy
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Updated
May 2, 2019 - Python
A fully customisable language detection pipeline for spaCy
Zabanshenas is a solution for identifying the most likely language of a piece of written text. Demo (👇 )
Natural language processing tools developed by the World Bank's DECAT unit. A suite of text preprocessing and cleaning algorithms for NLP analysis and modeling.
Crawled only the Bengali comments from cricket news of Bangladeshi newspaper Prothom Alo.
A vocal assistant for a university reception that responds to certain topics related to the administration with both languages English and French.
Read image and speek the text content using python
Flask-based API that provides a user-friendly interface to summarize text in any language supported by the BART model and then translate it to English.
Conversate effortlessly in more than 50 languages!
This my mini-projects that you may be interested in doing too... Enjoy!!
Detect the language from the given sentence
The Indian Teams Dedicated Audio Lines🏏
Detecting the languages of tweets and incorporating a language column into the DataFrame to signify their respective languages.
Twitter's Web Scraping using a given term and applying Sentiment Analysis to the extracted tweets.
Port of Google's language-detection library to Python.
Language detection (majority voting)
Plateforme de Connaissances Unifiées (PCU) project (i.e Unified Knowledge Platform)
The repository aimed at providing user a functionality of extracting the possible meaningful titles from the mentioned sentence.
Small NLP oriented tkinter GUI project
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