There are 6 posts tagged NLP (this is page 1 of 1).
Amid tales of language AI that can write its own poetry, crack its own jokes, and spin up a plausible, if not realistic, response to prompts that we usually expect people to struggle with, it is easy to wonder what practical good there is in such intensive development of natural language processing (NLP) systems while […]
When trying to understand the distinction between technology-driven translation solutions like machine translation (MT) and neural machine translation (NMT), it can be tempting to seek simpler analogies from beyond the realm of technology. Increasingly, though, parsing the respective advantages of these solutions requires an awareness of distinctions in machine learning and artificial intelligence that will […]
With NLP (natural language processing) dominating headlines in 2021, many might already be losing their capacity for astonishment at the ways AI is working with language. Last week, we looked at whether one of the more valuable products of machine translation – linguistic data – could have value in offsetting negative developments from new NLP […]
Like language AI, language data can be the basis for quite a range of things. Within localization, NMT (neural machine translation) and MTPE (machine translation post-editing) are the vanguard technologies for maximizing the automation of translation and other key processes involved in bringing content from one language to another. In this realm, language data-based AI […]
Last week, we looked at how research on a multilingual knowledge base at Google could be forging the beginnings of truly multilingual language AI, marking one of the more interesting recent technological developments for the localization industry. Now, days later, new reports on a study at Facebook AI Research appears to signal even more compelling developments in NLP (natural language processing) than systems that can cross-reference world idioms. Challenging criticisms that NLP agents tend to be flat approximations of human speakers, it […]
What if multilingual AI truly had the ability to make assorted connections spanning a broad knowledge of the world sourced from hundreds of languages? When you enter a piece of text in Google Translate using the ‘Detect language’ feature, an algorithm able to recognize the belonging of specific words and patterns to various world languages selects one of many linguistic frameworks at its disposal, then begins the more linear natural language processing (NLP) task of translating your […]
