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Applications of Natural Language Processing (NLP) that you may not have known about

The combination of applied linguistics with technology It has been a great advance. The fact of being able to interact with any device and that our language and ways of speaking are understood is already a reality. However, there are still applications of Natural Language Processing (NLP) that we may have overlooked. That is why today we collect some of them.

Automatic translation of texts or voice

One of the applications of Natural Language Processing is precisely the automatic translation of texts or voice. Although the first option is the most used, since we have it available in the vast majority of the web pages that we visit, the second is making a hole, more and more present. In this way, all barriers in terms of language are eliminated.

Some examples of this are found with Google Translate or Google Assistant (in his interpreter mode). However, Natural Language Processing still does not reach the level that a person who has been trained in translation and interpretation can have. Therefore, there may be translations that are not perfectly true to reality, although it is a fairly functional and useful resource.

conversation assistants

Cortana, Alexa or Siri they are conversation assistants that revolutionized the interaction with digital devices. These programs work thanks to Natural Language Processing and what they facilitate is a more fluid interaction, without the need to use your hands and that considerably reduces the search times for certain information. Despite this, many questions sometimes go unanswered.

But, there are other types of assistants like Google Home that have functionalities that go beyond the mere search for information. In this case, it is possible by order through the voice that the lights of the house go out or they turn on, that the thermostat activates or that the surveillance cameras do too. Therefore, this application of Natural Language Processing is very useful.

In addition to this, they would fall into this category chatbot. Assistants that offer answers through the chats that are on certain web pages to answer the most frequently asked questions. However, if they are asked a question that does not contain a certain keyword, the answer will not be as expected. Although they simulate natural language, there are certain limitations that have not yet been overcome.

The instant correction of a text

Among the applications of Natural Language Processing is also the instant correction of texts. Autocorrect is evident when writing via WhatsApp or when using a word processor. The goal is to reduce the error rate and the number of times a document needs to be reviewed. Thus, writing will be much more agile.

The advantage of this is that users can add words to the dictionary to expand vocabulary and improve the instant correction of a text. In this way, the human being and the digital device give each other positive feedback to achieve a better use of the revision tool. However, there may be certain words whose final decision of use must be made by the user.

voice synthesis

Natural Language Processing is also useful when a text needs to be put into speech. This may be required when making an instructional video or when designing an exercise program in a course. Although a few years ago Loquendo was the most advanced technology in this regard, Natural Language Processing has changed a lot and now he is more human.

In addition, sometimes users are allowed to choose the type of voice they want to hear (female, male, with a certain accent, etc.). Therefore, the synthesis of the voice has evolved a lot and facilitated the process of going from text to speech. In this way, the saving of time is evident, achieving a good result. Thus, the distances between technological devices and people are further shortened.

Spam detection and document organization

Among the applications of Natural Language Processing, the detection of spam also stands out, based on certain keywords that are detected, as well as the organization of documents itself. Can classify them by categories to perform a more efficient search is useful because it saves time. Therefore, Natural Language Processing is a crucial resource.

Natural Language Processing also has other applications in relation to SEO, creating relevant content or improving chatbot responses. There is still a certain distance between digital devices and human interaction, but this is being progressively reduced. The goal is to make technology save time and deliver an enhanced experience.

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