CS 124:
From Languages to Information (LINGUIST 180, LINGUIST 280)
Extracting meaning, information, and structure from human language text, speech, web pages, genome sequences, social networks, or any less structured information. Methods include: string algorithms, edit distance, language modeling, naive Bayes, inverted indices, vector semantics. Applications such as question answering, sentiment analysis, information retrevial, text classification, social network models, machine translation, genomic sequence alignment, spell checking, speech processing. Prerequisite: CS103, CS107, CS109.
Terms: Win
| Units: 3-4