Unlock the potential of cross-language information accessibility with advanced transcription and semantic search technologies
In our ever-connected world, where information has no borders, the ability to make it accessible to everyone, regardless of their native language or their capacity to learn a new language, is very relevant. Whether you are a content creator or lead a worldwide organization, being able to quickly and effortlessly help your followers/customers search for specific information in several languages has several benefits. For example, it can support customers with the same questions already answered in a different language.
Consider a different use case where you frequently have to attend company meetings. Often, you might be unable to participate, and many topics discussed may not be relevant to you. Wouldn’t it be convenient if you could search for the topics that interest you and receive a summary, including the start and end times of the relevant discussions? This way, instead of spending an hour in a meeting, you could spend just ten to fifteen minutes gathering the necessary information, significantly boosting your productivity. Additionally, you might have meetings recorded in Portuguese and English. Nevertheless, you are interested in conducting your search in English.
In this article, we will show you how to implement multilingual audio transcription and multilingual semantic search so that you can implement it for your use cases. For the multilingual audio transcription, we will explain how Whisper and WhisperX work, their limitations, and how to use them in Python.
Then, we introduce how multilingual semantic search models are trained and why you can get the same information from a vector database regardless of the language you queried with. We also provide a detailed implementation of semantic search resorting to Postgres and PGVector.
Finally, we show the results of the above on two use cases. We use two videos, one in Portuguese and the other in English, and we query them with the same question in Portuguese and English to check if we obtain the same answer.