Natural Language Processing

Course title

L0471800

Click to show questionnaire result at 2017

Course description

Basic technology to deal with natural language text, in particular, analyze method of natural language sentences, information retrieval and machine translation is explained.

Purpose of class

Students can learn basic theories and technologies to deal with natural language data.

Goals and objectives

To understand grammatical features of Japanese and regularities for text construction
To understand basic technology, e.g., morphological and syntactic analyses
To learn application technology of information retrieval and machine translation

Language

Japanese

Class schedule

	Class schedule	HW assignments (Including preparation and review of the class.)	Amount of Time Required
1.	Overview of natural language processing	Textbook chap. 1	90minutes
1.	Overview of natural language processing	Review	90minutes
2.	Japanese (1) Structure of sentences	Read printed materials	90minutes
2.	Japanese (1) Structure of sentences	Review	90minutes
3.	Japanese (2) Structure of texts	Read printed materials	90minutes
3.	Japanese (2) Structure of texts	Exercises	90minutes
4.	Morphological analysis (1) analysis method	Textbook chap. 2	90minutes
4.	Morphological analysis (1) analysis method	Exercises	90minutes
5.	Morphological analysis (2) cost estimation	Textbook chap. 2	90minutes
5.	Morphological analysis (2) cost estimation	Exercises	90minutes
6.	Syntactic analysis (1) phrase structure analysis	Textbook chap. 3	90minutes
6.	Syntactic analysis (1) phrase structure analysis	Exercises	90minutes
7.	Syntactic analysis (2) dependency analysis	Textbook chap. 3	90minutes
7.	Syntactic analysis (2) dependency analysis	Review	90minutes
8.	Semantic analysis (1) semantic representation	Textbook chap. 4	90minutes
8.	Semantic analysis (1) semantic representation	Review	90minutes
9.	Semantic analysis (2) analysis method	Textbook chap. 4	90minutes
9.	Semantic analysis (2) analysis method	Exercises	90minutes
10.	Contextual analysis	Textbook chap. 5	90minutes
10.	Contextual analysis	Exercises	90minutes
11.	Application (1) information retrieval	Textbook chap. 8	90minutes
11.	Application (1) information retrieval	Review	90minutes
12.	Application (2) machine translation	Textbook chap. 10	90minutes
12.	Application (2) machine translation	Review	90minutes
13.	Application (3) dialogue systems	Textbook chap. 11	90minutes
13.	Application (3) dialogue systems	Review	90minutes
14.	Final exam and comments	Review all	180minutes
Total.	-	-	2520minutes

Relationship between 'Goals and Objectives' and 'Course Outcomes'

	Report	Final exam	Total.
1.	20%	5%	25%
2.	15%	25%	40%
3.	15%	20%	35%
Total.	50%	50%	-

Evaluation method and criteria

Report (50%), Final exam (50%)

Textbooks and reference materials

Textbook:
T. Sugimoto and S. Iwashita, "Natural Language Processing and Machine Learning in Java", Ohm-sha, 2018.

Reference materials are:
S. Kurohashi and T. Shibata, "Introduction to Natural Language Processing", Science-sha, 2016.
Y. Okuno et.al., "Basics and Technology of Natural Language Processing", Shoei-sha, 2016.

Prerequisites

Knowledge about Java language is necessary.
Data Structures and Algorithms, Artificial Intelligence, Advanced Programming.

Office hours and How to contact professors for questions

Wednesday, lunch break

Relation to the environment

Non-environment-related course

Regionally-oriented

Non-regionally-oriented course

Development of social and professional independence

Course that cultivates an ability for utilizing knowledge
Course that cultivates a basic problem-solving skills

Active-learning course

More than one class is interactive

Last modified : Wed Oct 17 06:50:19 JST 2018