| dc.description.abstract | The significance of language as a powerful communication tool and its evolution in the context of
modern communication platforms. While chat applications have provided convenient means for
global interactions, language barriers and misinterpretations often arise due to the difficulty in
capturing the intended meaning. Although translation technologies like Google, Yandex, and Bing
exist, constantly switching between chat and translation applications can hamper user productivity.
To address this limitation, some chat applications integrate translation functions, enabling users to
translate texts without leaving the application.
However, these functions have certain limitations, such as the need to select and translate specific
chats and the inability to translate emoticons or stickers. To overcome these limitations, the
development of a web-based chat application capable of performing direct translation. By using
the utilization of the M2M100 NLP model in chat application development.
The M2M100 model stands out by offering translation capabilities for a wide range of languages,
surpassing other translation APIs such as those from Google and Microsoft which require
subscription costs. Being an open-source model, M2M100 proves to be a favorable choice for
initiating the development of the chat application. Despite the longer process involved, the model's
results are deemed satisfactory | en_US |
