Does the Machine Translation Post-Editing Activity Require a Lot of Time and Effort?
For the language industry , the year 2024 will go down as a year that had multiple developments and innovations at a fast pace, but this growth came with some distinct trends on the technological front that included translation feature as a service (TaaF), the emergence of multimodal AI , and retrieval augmented generation (RAG) and the use of large language models (LLM) enabled applications. The integration of AI tools and human skill was in the central place in the deliberations of the industry specialists even as the different size companies had their perspectives. The responses of the readers and viewers as revealed in the weekly Slator polls are snapshots of the sentiments, preferences and scopes across the industry. 1. Is it Time for Language Service Providers to Change Their Mindset? The language service sector has survived difficult times in the past but it was not business as usual for an industry that started 2024 on the wrong foot as reports of some firm...