NLP Building Blocks
Our applications are building blocks for larger NLP systems and services. They provide functions integral to text processing such as text tokenization, language detection, document classification, and entity extraction. Each application is stateless, scalable, and features a REST API for easy integration into NLP pipelines and with other applications.
Idyl E3 Entity Extraction Engine
Idyl E3 Entity Extraction Engine is capable of extracting named entities from natural language text. Idyl E3 supports user-created entity models, has a REST API, and can be used behind firewalls in secure environments.
Lacuna Document Classification Engine
Lacuna Document Classification Engine uses deep learning algorithms to classify documents into categories. Use Lacuna in your natural language pipeline to route and process documents based on their content.
Renku Language Detection Engine
Renku Language Detection Engine detects the language of input natural language text. Capable of identifying over 100 languages, Renku is designed to be lightweight and efficient. Use Renku in your NLP pipelines to route text based on the text’s language.
Sonnet Tokenization Engine
Sonnet Tokenization Engine breaks input text into its individual tokens based on rules or trained models. Many NLP applications require tokenized text as input and Sonnet provides an easy to use means to tokenizing text.