Contents Intro.

This talk will provide an overview of Machine Translation technologies and related Natural Language Processing technologies. Starting with simple questions like "Why is MT so difficult to build?", I will describe various NLP element technologies, illustrating fundamental challenges of MT and representative approaches to those problems. I will then present two major approaches to MT. One is Rule-Based MT which has been since the early period of MT development extensively used in MT products, and the other is Statistical MT which has recently been quite actively studied and used in many universities and large companies around the world. Several demos of practical applications of MT technologies will also be presented if time allows.

Details

Publication year

2011

Form

電子化映像資料(1時間27分57秒)

Series title

情報科学研究科・ゼミナール講演 ; 平成23年度

Note

講演日: 2011年7月4日

講演場所: 情報科学研究科大講義室L1

講演者所属: 奈良先端科学技術大学院大学 情報科学研究科 ヒューマン・インターフェース教育連携研究室・株式会社富士通研究所

Country of publication

Japan

Title language

English (eng)

Language of texts

English (eng)

Author information

潮田, 明 (ウシオダ, アキラ)