This paper analyzes the features of monotonic translations, which follow the word order of the source language, in simultaneous interpreting (SI). The word order differences are one of the biggest challenges in SI, especially for language pairs with significant structural differences like English and Japanese. We analyzed the characteristics of monotonic translations using the NAIST English-to-Japanese Chunk-wise Monotonic Translation Evaluation Dataset and found some grammatical structures that make monotonic translation difficult in English-Japanese SI. We further investigated the features of monotonic translations through evaluating the output from the existing speech translation (ST) and simultaneous speech translation (simulST) models on NAIST English-to-Japanese Chunk-wise Monotonic Translation Evaluation Dataset as well as on existing test sets. The results suggest that the existing SI-based test set underestimates the model performance. We also found that the monotonic-translation-based dataset would better evaluate simulST models, while using an offline-based test set for evaluating simulST models underestimates the model performance.

分析同传中顺译特征，在英日语言对中特别是英语和日语这种具有显著结构差异的语言对中，词序差异是同传的最大挑战之一。通过使用NAIST的英日顺译数据集对顺译特征进行了分析，并发现了一些在英日同传中使顺译困难的语法结构。通过评估现有语音翻译和同传语音翻译模型在NAIST的英日顺译数据集和现有测试集上的输出，进一步研究了顺译特征。结果表明，现有的基于同传的测试集低估了模型的性能。同时，发现基于顺译的数据集可以更好地评估同传模型，而使用离线测试集评估同传模型会低估模型的性能。

英日同传中的词语顺序：基于分块单调翻译的分析与评估