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AI & Enterprise

Interpretation and translation battleground is localisation, competing with frontier models with on-site data

Flitto co-founder and CTO Kang Dong-han said generic AI is hard to apply directly at industrial sites because accents, dialects, workplace jargon and machine noise affect performance. He said interpretation and translation quality depends on how quickly AI is localised for the site, focusing on fine-tuning frontier models with on-site data and glossaries. Flitto built an AI interpretation and translation service for Hanwha Ocean and Hanwha Systems, supporting 44 languages and functions such as group chats and image translation.

AI & Enterprise

Flitto builds OTalk AI interpretation system at Hanwha Ocean, Hanwha Systems shipbuilding sites

Flitto said on Tuesday it has built a customised AI interpretation and translation solution, OTalk, with Hanwha Ocean and Hanwha Systems for shipbuilding worksites. The system aims to reduce communication problems caused by jargon, slang and dialects in yards with many foreign workers. It supports seven major languages and improves recognition of site pronunciations, including Gyeongsang dialect accents. Flitto said pilot use by foreign workers reached about 96 percent.

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