Those who follow the CSOFT Communications blog are familiar with the myriad and interesting problems born from language AI models trained on the most abundant data resource available: what people say online. What people provide in textual volume, they do not necessarily match in thoughtful consideration, and while the gains for machine learning have been […]
When language AI talks, should it have to explain itself? Those keeping up with the latest applications of natural language processing (NLP) and natural language generation (NLG) may have noticed a subtle shift in the ongoing discussion of ethics surrounding algorithms like GPT-3, which has long dwelt on whether AI will channel our more malevolent […]
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 […]
