tanloong/neosca
L2SCA & LCA fork: cross-platform, GUI, without Java dependency
This tool helps language researchers and educators analyze text for syntactic and lexical complexity. You input written text, and it outputs detailed metrics on sentence structure and vocabulary usage. It's designed for anyone studying second language acquisition, linguistics, or text analysis without needing to install Java.
No commits in the last 6 months. Available on PyPI.
Use this if you need to quickly and easily analyze the complexity of written texts for research or educational assessment.
Not ideal if your primary need is for advanced computational linguistics tasks beyond complexity analysis, or if you prefer deep integration into existing Java-based workflows.
Stars
42
Forks
14
Language
Python
License
GPL-3.0
Category
Last pushed
Mar 16, 2025
Commits (30d)
0
Dependencies
2
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/tanloong/neosca"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related tools
blmoistawinde/HarvestText
文本挖掘和预处理工具(文本清洗、新词发现、情感分析、实体识别链接、关键词抽取、知识抽取、句法分析等),无监督或弱监督方法
huspacy/huspacy
HuSpaCy: industrial-strength Hungarian natural language processing
bnosac/udpipe
R package for Tokenization, Parts of Speech Tagging, Lemmatization and Dependency Parsing Based...
BramVanroy/spacy_conll
Pipeline component for spaCy (and other spaCy-wrapped parsers such as spacy-stanza and...
polm/unidic-py
Unidic packaged for installation via pip.