Computational Linguistics and Intelligent Systems. – 2022 р.

Permanent URI for this collectionhttps://ena.lpnu.ua/handle/ntb/56962

Періодичне видання за матеріалами конференції

It is our pleasure to present the proceedings of the Workshop Conference of COLINS-2022, the fourth edition of the International Conference on Computational Linguistics and Intelligent Systems, held in Lviv (Ukraine) on May 12-13, 2022. ISSN 2523-4013

Computational Linguistics and Intelligent Systems. – Lviv, 2022. – Volume 2 : Proceedings of the 6nd International conference, COLINS 2022. Workshop, Gliwice, Poland, May 12–13, 2022. – 306 p. – URL: https://colins.in.ua/wp-content/uploads/2022/07/VolumeII_Colins2022.pdf (дата звернення: 21.10.2022).

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    Multilingual voice user’s messages recognising and translating based on telegram bot and speech-to-text technology
    (онлайн, 2022) Aksonov Denys; Vysotska Victoria
    Converting users’ voice messages into text is an urgent task because it is very convenient. Many people send voice messages because it saves users time. After all, writing text by hand is a longer process than recording a voice. But there are cases when the people to whom thevoice message was sent do not have the opportunity to listen to it. It becomes a severe problem when the user thinks there may be something fundamental in this message, and the thought of it will not give him peace of mind until he can listen to it. At this point, a telegram bot that I will develop during this course may come to the rescue. The user will send the received voice message to the Bot, which with its functionality, will convert the voice into text, which will be sent to the user after the conversion. It allows the user to learn about the contents of the voice message without listening to it. The object of further research is the conversion of users’ voice messages into text. The study subject is to send a message with the text that will be received as a voice message conversion result that will be received from the Bot user.
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    Telegram bot development based on with text-to-speech functions and text recognition from an images
    (онлайн, 2022) Aksonov Denys; Vysotska Victoria
    The goal is to develop a telegram bot that will have the functionality to convert text to voice message and recognise text from images. Currently, photo text recognition is an urgent task. It will expand the functionality of the telegram even more, and people can receive the finished text without leaving the application and without using different services for this, which takes more time. The object of further research is the process of text converted into a voice message and the recognition of text from images. The research subject is methods and tools to receive a message with text that will be read from a picture sent by the user and accept a voice message in response to the text sent by the user. Not many telegram bots can recognise text from a photo or convert text to a voice message, but no bot can perform these two functions simultaneously. It indicates that this Bot will be able to interest people with its scientific novelty, increasing the total number of its users.