Abstract Machine Translation (MT) has made significant progress in recent years using deep
learning, especially after the emergence of large language models (LLMs) such as GPT-3 …

Attribute-controlled translation (ACT) is a subtask of machine translation that involves
controlling stylistic or linguistic attributes (like formality and gender) of translation outputs …

Translated texts bear several hallmarks distinct from texts originating in the language.
Though individual translated texts are often fluent and preserve meaning, at a large scale …

This article is situated at the interstices of literary translation and language technology, and
revolves around the multifaceted concept of Weltliteratur. It is conceived of as an invitation to …

Machine Translation (MT) has made significant progress in recent years using deep
learning, especially after the emergence of Large Language Models (LLMs) such as GPT-3 …

Semantic representations, which reflect the meaning of a text, are an important tool for
downstream natural language processing tasks which rely on meaning inference. One type …

Abstract In-context Learning for Machine Translation (MT) is a new paradigm enabled by
very large language models self-supervised on massive amounts of language data. These …

Abstract Machine Translation (MT) has been significantly advanced in recent years,
particularly with the emergence of Large Language Models (LLMs) like GPT-4 and …

大規模言語モデル時代の機械翻訳の展望 Page 1 大規模言語モデル時代の機械翻訳の展望 東山
翔平 ∗ 国立研究開発法人情報通信研究機構 ユニバーサルコミュニケーション研究所 ∗ 責任著者 …