keeletöötlussüsteemide

Keeletöötlussüsteemide refers to systems designed for processing and understanding human language. These systems, also known as Natural Language Processing (NLP) systems, encompass a broad range of technologies and techniques that enable computers to interact with and interpret text and speech. The core objective is to bridge the gap between human communication and computer comprehension.

The field of Keeletöötlussüsteemide draws upon linguistics, computer science, and artificial intelligence. Key applications include machine translation, where text or speech is converted from one language to another, and sentiment analysis, which aims to determine the emotional tone or opinion expressed in a piece of text. Other common uses involve chatbots and virtual assistants that can understand and respond to user queries, as well as text summarization, which condenses lengthy documents into shorter, more manageable versions.

Techniques employed in these systems are diverse. They range from rule-based approaches, which rely on predefined linguistic rules, to statistical methods that learn patterns from large datasets of text and speech. More recently, deep learning models, particularly neural networks, have shown significant advancements in improving the accuracy and fluency of language processing tasks. The continuous development in Keeletöötlussüsteemide is paving the way for more intuitive and effective human-computer interaction.