LinguaSys Launches GlobalNLP API Portal for Developers

LinguaSys has created GlobalNLP, a new application programming interface (API) portal to reach the global developer population building natural language processing applications with their own business logic.

GlobalNLP enables software developers to understand and extract meaning from unstructured or conversational text across languages.

LinguaSys offers broad language support in more than 20 languages and fully customizable language models, attribute tags, concept tagging, domain detection, full semantic network, hyponyms, hypernyms, synonyms, keyword extraction, language detection, lemmatization, morphology, parsing, part of speech tagging, relation extraction, sentiment analysis, translation, transliteration, crosslingual retrieval, anaphora resolution, and natural language interfaces.

GlobalNLP offers monthly pricing and setup and purchasing via the Web, providing services to developers via RESTful Cloud-based API connectivity. Users can get up to 20 API calls a minute and up to 500 API calls a month  free or use unlimited calls per minute, and up to 5,000 calls per week to get your applications ready for production for $99 per month.

"We want to enable not only developers in the Americas, but also all over Europe, the Middle East, and Asia, with this new semantic technology that has received rave reviews from users of the current standards in linguistic APIs," said Brian Garr, CEO of LinguaSys, in a statement. "We want to give programmers all over the world new tools to help them elevate their game in producing best-of-breed applications."

In addition, as part of the free offering (the first 500 API calls per month are free), LinguaSys is making Story Mapper available on GlobalNLP. Story Mapper provides insights to media intelligence companies, analyzing large volumes of unstructured text in native languages, then categorizing and summarizing the data. Story Mapper lets users search big data, social media, news feeds, and other digital text for content, sentiment, names, quotations, and relationships, extracting facts, topics, and events, assessing tone and determining prominence, relevance, and the dependence of entities in multiple original languages.

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