This paper describes a graduate-level machine translation (MT) course taught at the Language Technologies Institute at Carnegie Mellon University. Most of the students in the course have a background in computer science. We discuss what we teach (the course syllabus), and how we teach it (lectures, homeworks, and projects). The course has evolved steadily over the past several years to incorpor...

本解説論文では，特許を対象とした機械翻訳における種々の課題に対する関連技術の解説を行う．特許に対する機械翻訳は実用的にも学術的にも長い歴史を持つが，ニューラル機械翻訳の登場で新たな段階に進んできたと言える．そうした動向を踏まえ，訳抜け・過剰訳への対策，用語訳の統一，長文対策，低リソース言語対対策，評価，翻訳の高速化・省メモリ化，の6項目に分けて近年の関連技術を紹介し，今後の方向性を論じる．

In the coming 21st century, the demand for global communications among speakers of different languages is expected to grow, and consequently, speech translation technologies will be indispensable for such global communications. Based on this reasoning, research on speech translation technologies has been progressing for about 20 years at Advanced Telecommunications Research Institute (ATR) in J...

Translation technologies constitute an important new field of interdisciplinary study lying midway between computer science and translation. Its development in the professional world will largely depend on its academic progress and the effective introduction of translation technologies in the translators training curriculum. In this paper different approaches to the subject are examined so as t...

This paper motivates the need for an homogeneous way of measuring and estimating translation effort (quality) in computeraided translation. It then defines a general framework for the measurement and estimation of translation effort so that translation technologies can be both optimized and combined in a principled manner. In this way, professional translators will benefit from the seamless int...