A global AI community requires language-diverse publishing
원문 초록
In this provocation, we discuss the English dominance of the AI research community, arguing that the requirement for English language publishing upholds and reinforces broader regimes of extraction in AI. While large language models and machine translation have been celebrated as a way to break down barriers, we regard their use as a symptom of linguistic exclusion of scientists and potential readers. We propose alternative futures for a healthier publishing culture, organized around three themes: administering conferences in the languages of the country in which they are held, instructing peer reviewers not to adjudicate the language appropriateness of papers, and offering opportunities to publish and present in multiple languages. We welcome new translations of this piece. Please contact the authors if you would like to contribute one.
함께 살펴볼 논문
공통 태그를 근거로 연결했습니다. 실제 인용 관계나 논문의 우수성을 뜻하지 않습니다.
Has Machine Translation Evaluation Achieved Human Parity? The Human Reference and the Limits of Progress
CycleDistill: Bootstrapping Machine Translation using LLMs with Cyclical Distillation
ConsistencyChecker: Tree-based Evaluation of LLM Generalization Capabilities
Deep Symmetric Autoencoders from the Eckart-Young-Schmidt Perspective
Gender Bias in English-to-Greek Machine Translation
TACTIC: Translation Agents with Cognitive-Theoretic Interactive Collaboration
토론
이 논문과 연결된 포럼 글이 아직 없습니다.