Python Language Identification Library

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👐 https://mlnkor.com/langdetect

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Pandas is an open source, BSD-licensed library providing high-performance, easy-to-use data structures and data analysis tools for the Python programming language. pandas is a NumFOCUS sponsored project. This will help ensure the success of development of pandas as a world-class open-source project, and makes it possible to donate to the project. I did some timing between (v1.1.6) and langdetect (v1.07) on 1000 random reddit posts: langdetect: code]13.5 s 333 ms per loop (mean std. dev. http://dietugaddia.parsiblog.com/Posts/3/%3fCybozu+Issue+30%3f%3f%3f%3f%3f%3f%3f%3f%3f%3f%3f/

Language Identification from Texts using Bi-gram model. ameblo.jp/yusenron/entry-12530803738.html. Textacy PyPI.

Natural Language Identification Machine Learning Pipeline with Python and. The "nlp-compromise" Library. Natural Language Processing With Python and NLTK p.1 Tokenizing words and. Textacy is a Python library for performing a variety of natural language processing (NLP) tasks, built on the high-performance spaCy library. With the fundamentals. tokenization, part-of-speech tagging, dependency parsing, etc. delegated to another library, textacy focuses primarily on the tasks that come before and follow after. The Python Standard Library — Python 3.7.4 documentation.

TextBlob: Simplified Text Processing — TextBlob 0.15.2. Language identification fastText. https://seesaawiki.jp/rindoko/d/Class%20OptimaizeLangDetector Identifies the language in which the input text is written. The API returns maximum 3 detected languages and a numeric confidences between 0 and 1. Confidence close to 1 indicate 100% certainty that the identified language is true.