论文标题

使用预训练的多语言模型来控制翻译形式

Controlling Translation Formality Using Pre-trained Multilingual Language Models

论文作者

Rippeth, Elijah, Agrawal, Sweta, Carpuat, Marine

论文摘要

本文介绍了马里兰大学对\ iwslt的口语翻译形式控制的特殊任务的提交,该任务将英语翻译成6种具有多种语法形式标记的语言。我们可以通过\ textit {单个多语言模型}来研究此问题的程度,同时控制其目标语言和形式的输出。结果表明,该策略可以通过专用翻译模型来实现翻译质量和形式控制。但是,基本的预训练语言模型和填充样本的性质极大地影响了结果。

This paper describes the University of Maryland's submission to the Special Task on Formality Control for Spoken Language Translation at \iwslt, which evaluates translation from English into 6 languages with diverse grammatical formality markers. We investigate to what extent this problem can be addressed with a \textit{single multilingual model}, simultaneously controlling its output for target language and formality. Results show that this strategy can approach the translation quality and formality control achieved by dedicated translation models. However, the nature of the underlying pre-trained language model and of the finetuning samples greatly impact results.

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