Human language technology company LinguaSys is this week launching an API offering that allows developers to use its GlobalNLP natural language processing software in the cloud.
Using the GlobalNLP API, developers can access a suite of core natural language processing offerings that include: concept tagging, domain detection, keyword extraction, language detection, lemmatization, morphology, part of speech tagging, relation extraction, sentiment analysis and transliteration. The API supports more than 20 languages, including Asian and Middle Eastern languages, which the company notes are more challenging to deal with.
According to LinguaSys CEO Brian Garr, “GlobalNLP creates opportunities for developers to access hereto unavailable, or highly expensive linguistic capabilities, such as anaphora resolution, or something as simple, but complex, as tokenization for Asian languages without spaces or punctuation.”
Garr says that the GlobalNLP API, which is based on LinguaSys’ proprietary Carabao Linguistic Virtual Machine, is differentiated in a number of ways from other natural language processing solutions it competes against. For instance, “we do all linguistic determinations in the source language, using a large vocabulary, full sentence semantic model. We don’t ‘hunt for words’, we actually understand the whole utterance,” he stated.
For developers needing access to higher level natural language processing solution, LinguaSys is also offering an API for its StoryMapper solution. As Garr explained to me, “Story Mapper turns content, such as news stories, into highly tagged XML output, including the general theme of the story, was it positive or negative, what were the major entities and who said what about them. This does in minutes what it used to take people hours to do.”
Betting on APIs
The market for natural language processing technology has grown rapidly as companies grapple with making sense of all the big data they’re generating and have access to. From social media to public data sets, there is no shortage of opportunities to turn raw, semi-structured information into actionable intelligence and numerous companies are offering natural language processing APIs to take advantage of those opportunities.
Given the demand for natural language processing technology, Garr expects his new API to be a crucial part of his company’s business going forward. “We think the future for our business is in highly available, highly affordable, highly accurate APIs to handle a multitude of language related business problems,” he told me.
With that in mind, Garr revealed that LinguaSys is working to make its multilingual natural language understanding technology available as an API.