AmpiFire is a content creation and distribution solution that combines our talented 100+ person content writing team, AI and machine learning. We create, refine and distribute 6 content types to hundreds of websites and digital platforms. Each campaign consists of a News Article, Blog Post, Video, SlideShare, Infographic and an Audio Clip
Learn More
Scalable restaurant tech for stellar guest experiences
For Pizza, Delivery, Takeout, Quick Serve, Fast casual, and Full Service Restaurants with as little as one store to 100 or more.
HungerRush helps restaurants compete in the toughest business on earth. We offer a fully integrated restaurant management system that’s easy to use and can be configured to engage your guests better, streamline your operations, master your own marketing, or all of the above. Want to offer online ordering? It’s built in. Want to get the latest performance data on your operations and marketing? No problem. Want to make customers for life by creating personalized experiences you know they’ll love? Order up. And since our system is backed by a dedicated and US-based support team, you’ll always be ready for the rush.
This project aims to build a suite of Natural Language Processing tools. Modules will include corpus indexing and access tools, a part-of-speech tagger, tokenisers, text classification software, etc.
This is a Java-based project for complex event extraction from text and co-reference resolution. Currently the code can read BioNLP shared task format (http://2011.bionlp-st.org/) and i2b2 Natural Language Processing for Clinical Data shared task format (https://www.i2b2.org/NLP/DataSets/Main.php). Event extraction includes finding events and the parameters for an event in a text.
A multi-agent architecture for building interactive dramas. It uses the Jason's BDI engine, being the Jason's agent-oriented programming language utilized for performing the drama management and for authoring behaviors for the characters.
The Wikipedia Miner toolkit provides simplified access to Wikipedia. This open encyclopedia represents a vast, constantly evolving multilingual database of concepts and semantic relations; a promising resource for nlp and related research.
This application illustrates natural language processing using tagged grammars and statistical classification. Outputs are shown with the EMMA specification of the W3C. A viewer is provided to allow for more user-friendly viewing of EMMA results.
Maximum entropy is a powerful method for constructing statistical models of classification tasks, such as part of speech tagging in Natural Language Processing. Several example applications using maxent can be found in the OpenNLP Tools Library.
A language modeling tool kit written in Java for natural language processing applications. It can handle character-by-character modeling of unknown words, language model combination, comparison, and evaluation, as well as a number of smoothing techniques
D.U.C.K (Determine segmentation of Unknown words by using Context Knowledge)is an NLP tool, which aims to find the correct segmentation for unknown words in written Hebrew. Statistics from different scopes will be used to determine the segmentation.
Sanchay is a collection of tools and APIs for language researchers. It has some implementations of NLP algorithms, some flexible APIs, several user friendly annotation interfaces and Sanchay Query Language for language resources.
This project is a compilation of tools/libraries to help with tasks related to Text Analytics mainly in Java. These tools range from simple wrappers to sophisticated mining tasks that can improve the productivity of researchers and engineers.
OpenDMAP (Open Source Direct Memory Access Parser) is a natural language processing (text mining) application: a semantic parser for information extraction.
NLP4J library is a toolset written in Java for Natural Language Processing. This version is oriented to Document Classification and uses Naive Bayes, TF-IDF, etc. There are also pre-processing tools.
Facilitates data mining/natural language processing experiments to be executed on weblogs, such as classification, clustering and rating. As part of these experiments, it is possible to apply Latent Semantic Analysis.
NLPTools-ES is a Spanish plugin for GATE (General Architecture for Text Engineering). It includes a tokenizer, sentence splitter, gazetteer, pos tagger.
QuickAI (pronounced, "quickeye", or just "Quick" for short) is a return to the fundamental goals of creating an artificial intelligence. The priorities are to implement core models of knowledge and knowing, a reasoning engine, and a simple interface.
TBLTools is a set of GATE processing resources that implements the Fast Transformation Based Learning Algorithm. You can train it to learn rules for NLP tasks such as Named Entity Recognition and Shallow parsing.
JWNL is a Java API for accessing the WordNet relational dictionary. WordNet is widely used for developing NLP applications, and a Java API such as JWNL will allow developers to more easily use Java for building NLP applications.
SYRAH si propone di far emergere e rappresentare i concetti espressi per mezzo di un linguaggio naturale. SYRAH aims to discover and represent concepts expressed in natural languages. NLP, lemma, lemmario, italiano, rete, semantica, clustering, semantic
This is a suite of several software agents to provide a complete architecture of lexical base as proposed in Didier Schwab's PhD. thesis. It will be used for automatic translation, information retrieval and other natural language processing tasks.
MutationFinder is a biomedical natural language processing (NLP) system for extracting mentions of point mutations from free text. MutationFinder achieves high performance (99% precision, 81% recall on blind test data) as an information extraction system
JWebPro: A Java tool that can interact with Google search and then process the returned Web documents in a couple of ways. The outputs can serve as inputs for NLP, IR, infor extraction, Web mining, online social network extraction/analysis applications.
JVnSegmenter is a Java-based and open-source Vietnamese word segmentation tool. The segmentation model was trained on about 8,000 sentences using Conditional Random Fields (FlexCRFs). This tool would be useful for Vietnamese NLP community.