Natural Language Processing

Course title

L0471800

Click to show questionnaire result at 2018

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	100minutes
2.	Japanese (1) Structure of sentences	Read printed materials	90minutes
2.	Japanese (1) Structure of sentences	Review	100minutes
3.	Japanese (2) Structure of texts	Read printed materials	90minutes
3.	Japanese (2) Structure of texts	Exercises	100minutes
4.	Morphological analysis (1) analysis method	Textbook chap. 2	90minutes
4.	Morphological analysis (1) analysis method	Exercises	100minutes
5.	Morphological analysis (2) cost estimation	Textbook chap. 2	90minutes
5.	Morphological analysis (2) cost estimation	Exercises	100minutes
6.	Syntactic analysis (1) phrase structure analysis	Textbook chap. 3	90minutes
6.	Syntactic analysis (1) phrase structure analysis	Exercises	100minutes
7.	Syntactic analysis (2) dependency analysis	Textbook chap. 3	90minutes
7.	Syntactic analysis (2) dependency analysis	Review	100minutes
8.	Semantic analysis (1) semantic representation	Textbook chap. 4	90minutes
8.	Semantic analysis (1) semantic representation	Review	100minutes
9.	Semantic analysis (2) analysis method	Textbook chap. 4	90minutes
9.	Semantic analysis (2) analysis method	Exercises	100minutes
10.	Contextual analysis	Textbook chap. 5	90minutes
10.	Contextual analysis	Exercises	100minutes
11.	Application (1) information retrieval	Textbook chap. 8	90minutes
11.	Application (1) information retrieval	Review	100minutes
12.	Application (2) machine translation	Textbook chap. 10	90minutes
12.	Application (2) machine translation	Review	100minutes
13.	Application (3) dialogue systems	Textbook chap. 11	90minutes
13.	Application (3) dialogue systems	Review	100minutes
14.	Summary and comments	Review all	190minutes
Total.	-	-	2660minutes

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

	Report	Total.
1.	20%	20%
2.	40%	40%
3.	40%	40%
Total.	100%	-

Evaluation method and criteria

Report (100%)

Feedback on exams, assignments, etc.

ways of feedback	specific contents about "Other"
Feedback in the class

Textbooks and reference materials

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

Reference materials are:
C. Okazaki et. al., "Basics of Natural Language Processing", Ohm-sha, 2022
S. Kurohashi and T. Shibata, "Introduction to Natural Language Processing", Science-sha, 2016.

Prerequisites

Knowledge about Java language, Data Structures and Algorithms, and Artificial Intelligence.

Office hours and How to contact professors for questions

Friday, lunch break

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

Course by professor with work experience

Work experience	Work experience and relevance to the course content if applicable
N/A	N/A

Education related SDGs:the Sustainable Development Goals

4.QUALITY EDUCATION
9.INDUSTRY, INNOVATION AND INFRASTRUCTURE

Last modified : Tue Sep 17 18:01:54 JST 2024