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''' Lecture 1. Introduction '''

== Brief history of NLP ==

* January 7, 1954 — Georgetown experiment. Russian to English machine translation;
* 1957 — Noam Chomsky introduced "universal grammar";
* since 1961 — Brown Corpus;
* the late 1960's — ELIZA, a simulation of a psychotherapist;
* 1975 — Vector Space Model by Salton;
* up to the early 1980's — rule based approaches;
* after the early 1980's — machine learning, corpus linguistics;
* 1998 — Language Model by Ponte and Croft;
* since 1999 — topic modeling (LSI, pLSI, LDA, etc);
* 1999 — "Foundations of Statistical Natural Language Processing" by Manning and Shuetze;
* 2009 — "Natural Language Processing with Python" by Bird, Klein, and Loper.

== Major tasks of NLP ==

* Machine Translation
* Text classification
** Sentiment analysis
** Spam filtering
** Classification by topic or by genre
* Text clustering
* Named entity recognition
* Question answering
* Automatic summarization
* Natural language generation
* Speech recognition
* Spell checking
* User study design and evaluation


== NLP techniques ==

== Main problems ==

== About this course ==