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UNIT-7
LEVERAGING LINGUISTICS AND
COMPUTER SCIENCE
Learning Outcomes
• Challenges of the Human Language • IBM Project Debater
• Natural Language Processing (NLP) • Emotion Detection and Sentiment Analysis
• Classification Problem • Chatbots
• Phases of NLP—Converting Speech to Text & Analysing its Intent • Applications of NLP
• For Advanced Learners
Machines and humans are dynamically related. The existence of machines is not possible without human innovation and
efforts and the purpose of machines fails if they don’t fulfill human needs. Machines are designed to perform specific
tasks to ease the work of humans, but they lack the understanding and adaptability of humans, which can lead to
difficulties in communication, understanding and comprehension.
Human-machine interaction relies on words that may not always be intuitive or user-friendly, leading to frustration, or
inefficiency on the part of humans. Therefore, an interface that effectively bridges the gap between human intuition and
machine functionality is crucial for enhancing interaction and usability.
Challenges of the Human Language
Linguistics is a study of how to strategically apply language principles and practices to achieve specific aims or purposes.
Linguistics is widely applied in marketing, advertising, communication, education, natural language processing, and other
fields. Understanding how language works, (including structure,
semantics, pragmatics, and sociolinguistics) enables individuals
and organisations to modify messages, improve communication,
and impact behaviour.
Understanding human language is a difficult task, especially for
those who have grown up around it. Human language is extremely
complex, with strange expressions that appear to contradict one
another, vocabulary that takes cultural knowledge to understand,
and grammatical patterns that may turn simple statements into
complex expressions or tongue twisters. Machines require systems
known as Natural Language Processing (NLP) to understand human language.
Leveraging Linguistics and Computer Science 367

