Foundations of Natural Language Processing: Theory and Applications

This course is designed for individuals who want to gain a comprehensive understanding of Natural Language Processing (NLP) and its applications. It caters to students, professionals, and researchers interested in enhancing their knowledge and skills in NLP techniques. Whether you are a student pursuing a career in data science, a professional in the field of AI, or a researcher exploring language processing, this course provides valuable insights and practical knowledge to advance your NLP expertise.

You will learn the fundamental concepts and techniques used in NLP and how they are applied to solve real-world problems. From understanding speech sounds to analyzing meaning in context, this course covers various aspects of NLP to give you a solid foundation in the field.

Programming: Basic knowledge of programming concepts in Python

Phonetics and Phonology:

• Introduction to speech sounds and their classification
• Phonetics: The study of individual speech sounds
• Phonology: The study of the sound patterns in language

Lexical Analysis:

• Dividing text into paragraphs, sentences, and words
• Tokenization: Breaking down text into meaningful units
• Sentence segmentation: Identifying boundaries between sentences
• Word segmentation: Identifying boundaries between words

Morphology and Lexicon:

• Understanding the structure and formation of words
• Morphemes: The smallest units of meaning in language
• Inflection and derivation: Processes for word formation
• Lexicon: Vocabulary and word representations

Syntactic Analysis:

• Parsing: Analyzing the structure of sentences
• Parts of speech tagging: Assigning grammatical labels to words
• Phrase structure and constituency parsing
• Dependency parsing: Analyzing the relationships between words

Semantic Analysis:

• Meaning representation in NLP
• Word sense disambiguation: Resolving multiple meanings
• Semantic role labeling: Identifying the roles of words in sentences
• Sentiment analysis: Analyzing opinions and attitudes

Pragmatics:

• Context and meaning
• Discourse analysis: Understanding language in larger contexts
• Speech acts: Analyzing the intended meaning of utterances
• Pragmatic inference: Drawing meaning beyond literal interpretation