Moving forward with NLP Artificial Intelligence
The 2020s are going to bring major developments in language AI to the fore. In the not too distant future we’ll see AI produce content on a large scale including articles, short stories, songs and even computer code. It might even be able to emulate the style of particular writers. All this is possible with breakthroughs in NLP technology.
In the translation field we are witnessing rapid innovations in NLP technology. Inter-language Vector Space, ILVS for short, is a cutting edge NLP AI technology allowing for a swift detection of semantic similarities between words across languages. Built on previous research by Google and Facebook, this technology has the potential to boost linguists’ capacity to translate more in less time. All this is possible thanks to the inter-language aspect of ILVS underpinning a rich feature set.
What’s remarkable about Inter-language Vector Space?
It’s fast. ILVS enables word-to-word alignment at lightning speed. It takes well under a second.
It’s smart. ILVS is able to detect potential translation candidates even if they have never appeared in any dictionary.
It’s truly multilingual. ILVS algorithms are able to tell the probability of a given target language word being the correct translation of a source word for over 250 languages. That equals 31,125 language pairs in total.
At XTM International we’re giving you tomorrow’s language technology today. In XTM Cloud 12.8, the Symphony Release, we’ve refined NLP Artificial Intelligence to produce the best Term Candidates for each target language. Bilingual Term Extraction functionality enables you to speak more persuasively, making the universal language of emoticons recognizable for your target audiences. Other smart applications of NLP AI are on the roadmap and we can’t wait to show them to you.
To learn more about the latest enhancements in NLP Artificial Intelligence, read our release blog.
Stay tuned for more!