Course Name Year Term Period Faculty / Graduate School All Instructors Credits
52045:[2025 Fall]Introduction to Computational Linguistics (GV) 2025 Fall Wed4 College　Of　Law,College　Of　Economics,College　Of　Business　Administration,College　Of　Social　Sciences,College　Of　International　Relations,College　Of　Policy　Science,College　Of　Letters,College　of　Image　Arts　and　Sciences,College　of　Science　and　Engineering,College　of　Information　Science　and　Engineering,College　of　Life　Sciences,College　of　Pharmaceutical　Sciences,College　of　Sport　and　Health　Science　(tentative　name) KANAMARU TOSHIYUKI 2

Campus

OIC

Class Venue

Seminar Room H341

Language

English

Course Outline and Method

This course, Introduction to Computational Linguistics, provides a comprehensive and non-technical overview of the field. In particular, we will explore the fundamentals of linguistics, focusing on the units of analysis of language at various levels. In addition, various techniques of natural language processing and applications such as machine translation will be also explored. Class assignments must be submitted electronically through the manaba+R.
Keyword: Language; Linguistics; Natural Language Processing; Machine Translation

Student Attainment Objectives

On successful completion of the course, students will:

1. be able to use key terms in linguistics.
2. expand their knowledge in English/Japanese lanugage.
3. understand ways in which topics in computational linguistics are related with those in subfields of linguistics.
4. be familiar with approaches to process language computationally.

Recommended Preparatory Course

This class is open for the students with the following English ability: a TOEFL ITP®test score between 480 and 530, a TOEFL iBT®test score between 55 and 71, a TOEIC®test score between 580 and 630, an IELTS score above 5.0, or equivalent.
＊TOEIC®, TOEFL®はEducational Testing Service(ETS)の登録商標です。

Course Schedule

Lecture/Instructor（When there are multiple instructors) Theme
Keyword, References and Supplementary Information
1

Introduction

course overview, features of language, subfields of linguistics
[There will be 20 minites +R lesson video. See manaba+R.]

2

Computational linguistics overview

purpose, related fields, natural language processing, applications and technology

3

Morphology

word formation, type of morphemes, affixes

4

Morphological analysis

English tokenize, Japanese morphological analysis

5

Grammar

words, phrases, parts of speech, English grammar

6

Syntax

generative grammar, tree representation, syntactic parsing

7

Japanese grammar

dependency grammar, dependency parser

8

Semantics

semantic features, synonymy, polysemy

9

Pragmatics

context, reference, speech act, politeness

10

Discourse

cohesion, coherence, Gricean maxims, schemas

11

Context analysis

anaphora resolution, rhetorical structure

12

Language aquisition

acquision schedule, acquisition process, second language aquisition

13

Machine translation (1)

phrase based translation, translation model, language model

14

Machine translation (2)

neural network model, neural language model, distributed representaion, seq2seq model

Class Format

Remote lesson (livestreamed lesson)

Recommendations for Private Study

Study guide for each topic will be posted on manaba+R. Please be sure to check manaba+R regularly to receive up-to-date instructions on what needs to be done.

Grade Evaluation Method

Kind Percentage Grading Criteria etc.
Final Examination (Written)

Report Examination
(A report to be submitted by the unified deadline)

Exams and/or Reports other than those stated above, and Continuous Assessment　
(Evaluation of Everyday Performance in Class)		 100

Assignments: 80%
Final report: 20%

Grade Evaluation Method （Note）

Advice to Students on Study and Research Methods

Textbooks

Textbooks （Frequency of Use, Note）

Reference Books

Title Author Publisher ISBN Code Comment
The Study of Language Eighth Edition George Yule Cambridge University Press 9781009233408

Reference Books （Frequency of Use, Note）

Web Pages for Reference

How to Communicate with the Instructor In and Out of Class(Including Instructor Contact Information)

Learning Management System （manaba+R）

Other Comments

【科目ナンバリング・カリキュラムマップはこちらから/Click here to see the Curriculum-Map and Course-Numbering】
URL:https://secure.ritsumei.ac.jp/students/pathways-future/course/curriculum.html/