Introduction: Mathematical Foundations- Elementary Probability Theory- Essential Information Theory.
Linguistic Essentials: Part of Speech and Morphology- Phrase Structure. Corpus Based Work: Looking Up Text- Marked up Data. Statistical Inference: Bins-Forming Equivalence Classes- Statistical Estimators- Combining Estimators.
Word Sense Disambiguation: Supervised and Dictionary Based Disambiguation. Markov Models: Hidden Markov Models- Implementation- Properties and Variants.
Part of Speech Tagging: Hidden Markov Model Taggers- Transformation Based Learning Of Tags- Tagging Accuracy and Use of Taggers. Probabilistic Context Free Grammars and Probabilistic Parsing.
Statistical Alignment and Machine Translation: Text Alignment – Word Alignment –Statistical Machine Translation- Implementation Using Natural Language Toolkit (NLTK).