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What is natural language processing and how is it related to translation?

Natural language processing is concerned with creating an environment in the virtual world that can assign meanings to human language and is therefore able to analyse texts or the human voice. It is primarily concerned with the study of syntax and semantics. It uses statistical methods and axioms to derive so-called scientific principles for further investigation.


In the context of translation, NLP plays an important role in automating and improving the translation process. Here are some ways in which NLP is used in translation services:

  1. Machine translation: NLP is used to develop machine translation systems that can automatically translate texts from a source language into a target language. These systems are often based on statistical models or neural networks that have been trained on large amounts of bilingual text data.

  2. Text analysis: NLP allows texts to be analysed to extract linguistic features, syntax, semantics and meaning. This can help improve the accuracy of machine translation systems by taking contextual information into account.

  3. Text generation: NLP can be used to automatically generate translations or revise machine translations to make them sound more fluent and natural. By using NLP techniques such as language modelling and language generation algorithms, the translation process can be improved.

  4. Sentiment analysis: NLP can be used to recognise the tone, mood or emotion in texts. This can help in the evaluation of translations to ensure that the tone and intended meaning of the original text is accurately conveyed.


We are interested in natural language processing as this is the area that allows us to understand how human language works and what all languages in the world really have in common. This universality principle, which forms the basis of every scientific discipline, is not readily applicable to the study of human languages compared to other scientific disciplines. Nevertheless, scientists endeavour to find these universals and we at UniTranslate strive to learn them in order to serve you as well as possible. We already use modern language processing tools such as Google Universal Sentence Encoder, Bert, Bard, ChatGPT to analyse texts and visualise their content in seconds. These tools allow us to save costs and increase our quality at the same time. These tools are available in many languages. This allows us to compare translated text with the original text and determine whether the machine understands the same thing about them and if not, why not.


At UniTranslate, we invest and work with great motivation to transfer the latest technologies to our company so that we can serve you better than yesterday.

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