MARY TTS -- an open-source, multilingual text-to-speech synthesis system written in pure java

This is a demonstration for Pocketsphinx on Android

Natural language processing pipeline for book-length documents (archival Java version; for current Python version, see: https://github.com/booknlp/booknlp)

Synchronize Whisper's timestamps over an existing accurate transcription

Linguistic search for large annotated text corpora, based on Apache Lucene

A WEKA package for analyzing emotion and sentiment of tweets.

Examples of Text Mining in WEKA

GermaNER: Free Open German Named Entity Recognition Tool

A natural language processing tool for automatically detecting quotations in text.

The Heracles framework for developing and evaluating text mining algorithms

forked from Wikifier2013

Example project for reading a corpus annotated with argumentation

Natural Language Processing projects

Fork of topic-modeling-tool with possibility of custom --token-regex option.

Analyzing the transfer of aspect-based sentiment extraction to hotel reviews

A polarity classifier incorporating polarity shifting. For German.

This repository contains a system to extract opinion roles from German text. It was implemented in the context of the IGGSA-shared task on Source, Subjective Expression and Target Extraction from P…

[Android Application] Scanner For Zotero brings Zotero's magic wand tool out into the physical world. Scan the ISBN barcode on any book, and Scanner For Zotero will fetch that item's bibliographic …

MIVES - Mining Verse Structure, sistema de busca e identificação de estruturas métricas em prosa

A java console application for finding rhymes via phonetics.

AIDA Named Entity Disambiguation by the Databases and Information Systems Group at the Max Planck Institute for Informatics.

Implementation of a microservice system for collecting news articles and analyzing metaphors in texts via LLM using the MIPVU method

negation detection

Supervised Scheme for Aspect Extraction in Sentiment Analysis Using the Hybrid Feature Set of Word Dependency Relations and Lemmas