This report was co-authored by Yulia Akhulkova and Belén Agulló García.
Now is an exciting time for media localization, with technologies improving across the board making automated subtitling and dubbing an actual possibility.
When it comes to subtitling, there are two main ways software can automatically generate subtitles:
You might have seen examples of this technology on YouTube. The platform has an automatic subtitle generation function. The output quality varies depending on the quality of the audio and the pronunciation of the speaker, as well as the language of the video. That is how automatic subtitles are already replacing humans. Although automatic captions including transcription and synchronization are not always available on YouTube currently, YouTube Studio allows you to provide a transcription for your videos. Their solution will automatically synchronize the video with the transcription using the first of the aforementioned methods.
There are many software solutions that offer automatic transcription, including Dragon Naturally Speaking, Webcaptioner, and Microsoft Translate. As Mara Campbell from True Subtitles pointed out in her presentation at Media4All, even the cheapest, worst speech recognition software offers greater productivity than doing it manually. We have spotted an increase in services offering automatic transcription and synchronization for subtitles such as Happyscribe, Limecraft, Trint, and Rev.
Remote interpreting solutions have been both in development and in use for a long time now. However, prior to the COVID-19 pandemic, uptake was slow. The onset of the pandemic changed this drastically, and, ever since, it seems that the growth, innovation, and investment in this field has been unstoppable. Once considered an afterthought or sub-par alternative to onsite services, remote interpreting has stepped out of the shadows to become the key to continuity of business and care in many industries.
Introduction The language services industry is undergoing a profound transformation with the emergence of cutting-edge technologies such as ChatGPT and large language models (LLMs). These powerful language generation models have captivated the attention of businesses and language professionals alike, offering exciting possibilities for translation, localization, and content creation. In this article, we will explore the […]
The year is 2023. Six years after the big neural MT push of 2017, it seems appropriate to say that machine translation (MT) has finally found its way in the localization industry. Most MT providers are producing reasonably acceptable baseline quality and MT solutions have never been more accessible. As a result, MT is becoming a reality in many organizations. What’s more, MT technology has reached a certain level of maturity in terms of customization and training.