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Understand language acquisition

The purpose of the [course_title] is to show you the natural process of language learning. You will learn the study of human language from a computational perspective. The course covers the major areas of language learning processes such as:

  • syntactic – the study of the structure of the sentence
  • Semantic – the study of meaning
  • discourse analysis – study to analyse written, vocal, or sign language use
  • corpus-based methods or Corpus linguistics  – the study of language as expressed in corpora (samples) of “real world” text.

In short, the [course_title] covers all the major methods and models in syntactic parsing, information extraction, statistical machine translation, dialogue systems, and summarisation.

Assessment

This course does not involve any written exams. Students need to answer 5 assignment questions to complete the course, the answers will be in the form of written work in pdf or word. Students can write the answers in their own time. Each answer need to be 200 words (1 Page). Once the answers are submitted, the tutor will check and assess the work.

Certification

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  • Add the certificate to your CV or resume and brighten up your career
  • Show it to prove your success

 

 

Course Credit: MIT

Course Curriculum

Module 01
Introduction and Overview 00:26:00
Parsing and Syntax I 00:22:00
Smoothed Estimation, and Language Modeling 00:23:00
Parsing and Syntax II 00:28:00
The EM Algorithm 00:27:00
The EM Algorithm Part II 00:26:00
Lexical Similarity 00:23:00
Lexical Similarity (cont.) 00:22:00
Log-Linear Models 00:22:00
Tagging and History-based Models 00:23:00
Grammar Induction 00:24:00
Computational Modeling of Discourse 00:21:00
Module 02
Text Segmentation 00:25:00
Local Coherence and Coreference 00:21:00
Machine Translation 00:27:00
Machine Translation (cont.) 00:26:00
Machine Translation (cont.) 2 00:23:00
Courtesy of Philipp Koehn and Ivona Kucerova. Used with permission 00:23:00
Graph-based Methods for NLP Applications 00:26:00
Word Sense Disambiguation 00:29:00
Global Linear Models 00:23:00
Global Linear Models Part II 00:26:00
Dialogue Processing 00:25:00
Dialogue Processing (cont.) 00:24:00
Text Summarization 00:28:00
Assessment
Submit Your Assignment 00:00:00
Certification 00:00:00

Course Reviews

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