{"categories":[{"label":"Linguistic","url":"https://skillfed.io/packages/category/text-processing-linguistic/2"}],"enrichment":{"capability":"Indic NLP Library provides text processing and natural language processing tools for Indian languages, including tokenization, normalization, transliteration, script conversion, and sentence splitting.","skillfed_tags":["indic-languages","nlp-toolkit","multilingual"],"use_cases":["Tokenize and normalize Indian language text for downstream machine learning pipelines.","Convert text between different Indic scripts for cross-lingual applications.","Split sentences in Indian languages while handling language-specific punctuation.","Perform word segmentation and syllabification for morphological analysis.","Transliterate between Indian languages or convert text to romanized forms."],"what_it_does":"Indic NLP Library is a Python toolkit for processing text in Indian languages. It provides functionality for text normalization, script information, word tokenization and detokenization, sentence splitting, word segmentation, syllabification, script conversion, romanization, indicization, transliteration, and translation. The library leverages structural similarities across Indic scripts to provide a unified interface for these operations.\n\nThe package depends on pandas, numpy, morfessor, sphinx-argparse, and sphinx-rtd-theme. It requires Python 3.5 or later and external language resources hosted in a separate repository. Maintenance is dormant as of mid-2024, meaning no active development or bug fixes are expected, though the codebase remains stable for existing use cases.","worth_installing":"Yes, if you work with Indian language NLP and can accept dormant maintenance. The library is stable, has no known vulnerabilities, and provides specialized functionality not easily found elsewhere. However, verify that external resources are available and compatible with your setup, and plan for no upstream bug fixes or updates. Well-suited for research and established production workflows but not for projects requiring active vendor support."},"id":"indic-nlp-library","links":{"html":"https://skillfed.io/packages/indic-nlp-library","md":"https://skillfed.io/packages/indic-nlp-library.md","pypi":"https://pypi.org/project/indic-nlp-library/"},"maintenance":{"status":"dormant"},"meta":{"latest_release":"2023-05-15","license_spdx":null,"license_treatment":"permissive","name":"indic-nlp-library","python_support":"supports_current","summary":"The goal of the Indic NLP Library is to build Python based libraries for common text processing and Natural Language Processing in Indian languages."},"popularity":{"monthly_downloads":98676,"position":13065,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.92"}