Slator - Language Industry News

  The  Slator Translation as a Feature (TaaF) Report  provides a snapshot of how AI translation is becoming an integral feature in enterprise technology.  The report features 20 one-page case studies that demonstrate how translation is now being built into software applications using large language models (LLMs). Each case study is presented as a visually engaging infographic. Slator’s research shows that translation as a feature is becoming ubiquitous in a range of software applications. Enterprises are leveraging this technology across different industries and case studies instead of or in collaboration with existing translation solutions. The case studies are companies whose primary core activity is not focused on language services and exclude the well-known big tech players. We cover software solutions used in both regulated and non-regulated industries, spanning from content or design authoring tools, to project management productivity solutions or document mana...

Create a Unique Blog with Anchor Tags: The Impact of Emotional Context on LLM Translation Quality Slator- Language Industry Intelligence In an increasingly globalized world, translation is more important than ever. With the rise of Large Language Models (LLMs), translation has become more efficient and accessible. However, one crucial aspect that often gets overlooked is the role of emotion in translation. Emotion isn’t just a secondary component of language; it’s a vital part of communication that can significantly affect the quality of translations produced by LLMs. The Growing Importance of Translation in the Digital Age The internet has connected people from different parts of the world like never before, and translation services are at the heart of this connection. Whether it's translating a website, a marketing campaign, or a casual conversation, accurate translation is essential for clear communication across cultures. What are Large Language Models (LLMs)? LLMs are advance...

eBay Launches New In-House Large Language Model for E-commerce with Translation Capabilities In a June 17, 2024  paper ,  eBay   introduced its series of  l arge language models  (LLMs), tailored specifically for the  e-commerce  sector. eBay’s New In-House Large Language Model for E-commerce Can Also Translate These models, named LiLiuM 1B, 7B, and 13B , were developed in-house to meet eBay’s specific needs across various applications, including translation, in the e-commerce domain, providing full control over licenses, data, vocabulary, and architecture. The authors said that “these models are meant to eliminate dependency on third-party  LLM s within eBay.” eBay explained that using foundation models like the LLaMA-2 models, which can be accessed and adjusted for specific purposes, poses risks related to licensing, data security, and future-proofing. They noted that these models are generally trained on English-centric data and are quite gene...