All things dealing with language technology, translation-related tools and best practices in the localization industry.
There are 577 posts filed in All Things Localization (this is page 5 of 49).
Language AI and translation technology are constantly improving, but when are advances in technologies like natural language processing (NLP) truly significant? With a steady stream of news forthcoming, keeping a view of the bigger picture can be a challenge, while the vocabulary of algorithmic concepts that developers are tinkering with is more elaborate at each […]
Last month, CSOFT looked at how language AI is bringing clarity to translations not only of present day content but also relics from the distant past – specifically, by deciphering text artifacts bearing symbols from the earliest known precursor to ancient Greek. Now, in an odd twist of developments from across the AI world, natural […]
As a class of technology centered on automating information, language AI is one of the most widely deployed forms of artificial intelligence across all industries and sectors, led in large part by the globalization potential of machine translation and solidified in the widespread adoption of tools like chatbots, document text recognition, and linguistic data-driven analytics. […]
If you’ve ever copied a string of foreign text into Google Translate, you’re surely familiar with the Detect Language function of neural machine translation, the form of language AI that delivers everything from a quick lookup in another language to the raw MT in any machine translation post-editing (MTPE) localization project. Even if you don’t […]
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 […]
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 […]
At CSOFT and in households across the world, holiday films have a way of reminding us why we celebrate at this special time of year. For two decades at CSOFT, celebrating the holiday season as a global team has been at the core of our company’s culture, from sharing our favorite recipes in cookbooks like […]
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 […]
As AI technology expands into new markets, how effective is language AI at performing its job in new languages? For anyone following our series on language AI, the expansion of language functions and new opportunities for deployment of this technology in both foreign and domestic markets has clear and difficult challenges. As companies and researchers […]
Two weeks ago, in our ongoing discussion on advancements in AI language functions and capabilities, we looked at Nvidia’s announcement on its development of the world’s most powerful natural language generation (NLG) model to date, surpassing GPT-3 as the latest high-powered text generator model. Following suit, Nvidia this week has made the decision to offer […]
As we recently discussed in our ongoing look at linguistic AI, natural language processing (NLP) is an established technology with astonishing real-world applications in areas such as machine translation that nevertheless seems often to be on the sidelines of newsworthy developments in more experimental areas like natural language generation (NLG). Now, however, NLP is getting a new infusion from the cutting-edge of computer science with reports from Cambridge Quantum on their development of […]
