CoreNLP: A Java suite of core NLP tools for tokenization, sentence segmentation, NER, parsing, coreference, sentiment analysis, etc.
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Updated
Apr 15, 2025 - Java
CoreNLP: A Java suite of core NLP tools for tokenization, sentence segmentation, NER, parsing, coreference, sentiment analysis, etc.
NLP framework: sentence detector, tokeniser, pos-tagger and dependency parser
Java utility classes to simplify use of the Stanford Parser for a specific English configuration.
NEON mines rules for detecting natural language patterns in software informal documents. The inferred rules can be used for identifying and extracting relevant information embedded in unstructured texts.
Domain Model Extractor
A resume analyser and creator made in Java.
Simple implementation of Snowball Stemmer (http://snowballstem.org/) in Java with Stemmers for 20+ languages. Helpful to reduce tokens to their core syntax esp. when processing them in Machine Learning Models (ML). (Natural Language Processing) features.
This infrastructure, built on Stanford CoreNLP, MapReduce and Spark with Java, aims at processing documents annotations at large scale.
A rule-based morphological analyser for Tigre, written in Java.
Tool for extracting and parsing time expressions from natural language texts in Brazilian Portuguese.
This repo contains all the java code I have done on various things including NLP.
TCP client for the LinkGrammar Parser
TextProc is an automated text processing tool that efficiently and flexibly applies NLP to input documents in a relational database.
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