Similarly, methods such as the BERT

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algorithm (Bidirectional Encoder Representations from Transformers) allow us to obtain a better understanding of the context, but also to maintain the style and tone of the original text. Conclusion The impact of natural language processing (NLP) on machine translation ( and a bunch of other fields ) is unparalleled. Its ability to understand and generate human language has not only improved machine translation , but it has bridged a gap between humans and machines. READ ALSO Real estate translation: rental, purchase and sale contracts It is also a safe bet that future automatic translation tools and applications , or even conversational agents, will be increasingly powerful, and will allow for increasingly impressive human-machine exchanges.

.. But rest assured, at BeTranslated, we remain mongolia business email list convinced that these tools will never completely replace human beings. If you are a student, you should know that for several years now, there have even been several types of university courses focused specifically on NLP, since it is the discipline at the heart of new technologies related to natural language; this is particularly the case of the University of Lorraine which offers a master's course in automatic language processing. Between research, computer science, engineering and linguistics, NLP is at the crossroads of various sciences; it is therefore a training that will suit students wishing to acquire a certain versatility and a wide range of knowledge.

Artificial intelligence is playing an increasingly important role in our society and, above all, it is gaining popularity. Currently, the UK AI market is worth £17 billion, and it could well reach £800 billion by 2035. Furthermore, the UK has twice as many AI companies as other European countries. For many people, time is money, and efficiency is key. Since AI can help increase our productivity, it plays a crucial role. Indeed, the software it uses produces results much more quickly than humans, which explains why it is gaining ground where conventional methods had been implemented until now.