There are 37 posts filed in Technology (this is page 1 of 4).
As we have explored extensively in our recent posts on advancing language AI, the most dynamic developments in areas like NLG and NLP have tended to come via large language models (LLMs) that require massive and high-quality datasets to train, which naturally favors large companies and software groups who alone manage access to these datasets. […]
This year in language AI, we have followed many newsworthy developments in natural language processing (NLP), natural language generation (NLG), and natural language understanding (NLU), highlighting the most impressive trends and technological advancements in the process of machine learning (ML) for language-based applications. Throughout this discussion, our focus has been on the effectiveness of these […]
Modern language AI is advancing at an unprecedented pace as innovation and research drives developers to create state-of-the-art language models that continue to inch closer to natural human speech patterns and cognitive reasoning. In our ongoing discussion on language AI and natural language processing (NLP), we have discussed ways in which these technologies have expanded […]
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 […]
Across the globe people found new measures to facilitate cross-border communications in 2020. In numerous countries, physical borders were enforced, discouraging the movement of people and cross-cultural initiatives. In times when people around the world were confined, many sought inventive ways to reach across borders and harvest multicultural connections. Millions of people expressed new interests […]
2020, a year notable for its many setbacks, was also a year of remarkable progress for technologies like AI and blockchain, as well as digital communications more broadly as they continued to vault over longstanding R&D hurdles as a novel means of coping with the year’s challenges. Looking ahead to 2021, much of the same […]
In a year that has seen all of us adapting to new models for conducting virtually every aspect of our lives (virtually), one thing that has seemingly never failed to carry on the same as ever is artificial intelligence. 202o has been a major year for language AI, in particular, and the stories from throughout […]
In the fascinating world of medical AI, applications that utilize machine learning to solve problems tend to amaze in unexpected ways. True to form, DeepMind, the reigning world Go champion, chess champion, and eternal victor in popular eSports such as Warcraft, may have cut its teeth in the gaming world to get where it is […]
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 […]
