Abstract The global rise in academic scholarship and pressure to publish in high-impact English-medium journals has led to an increased focus on multilingual scholars and the obstacles they face when communicating across academic and professional domains. Although preparing research for scholarly publication is challenging for most academics, multilingual scholars face the added demands of communicating their work in a foreign language. As one of the largest producers of scientific publications worldwide, Japanese scientists wrestle daily with these challenges and typically employ proofreading as a common coping strategy. Motivated by years of supporting Japanese scientists through the proofreading process, this study employs an Error Analysis (EA) framework, elaborated with the functional descriptions of Systemic Functional Linguistics (SFL), to investigate error patterns in research article manuscripts written by thirteen Japanese materials scientists. Results highlight the difficulties that the nominal group constitutes for participants, with almost half (47.81%) of the identified errors occurring within complex nominal groups. Further, the analysis reveals the most dominant error pattern involves errors with articles and plural -s. Findings from the study inform the design of a pedagogical tool to assist Japanese materials scientists and language specialists alike in identifying and rectifying these errors.

中文翻译：

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迈向专业语言支持：错误分析的详细框架

摘要 全球学术奖学金的增加和在高影响力英文期刊上发表文章的压力导致对多语言学者的关注增加，以及他们在跨学术和专业领域进行交流时面临的障碍。尽管为学术出版准备研究对大多数学者来说是一项挑战，但多语种学者面临着用外语交流他们的工作的额外要求。作为全球最大的科学出版物生产商之一，日本科学家每天都在与这些挑战搏斗，通常将校对作为一种常见的应对策略。受多年来通过校对过程支持日本科学家的启发，本研究采用错误分析 (EA) 框架，并详细阐述了系统功能语言学 (SFL) 的功能描述，调查由 13 位日本材料科学家撰写的研究论文手稿中的错误模式。结果突出了名义组对参与者构成的困难，几乎一半 (47.81%) 的已识别错误发生在复杂的名义组中。此外，分析显示最主要的错误模式涉及冠词错误和复数 -s。研究结果为教学工具的设计提供了信息，以帮助日本材料科学家和语言专家识别和纠正这些错误。81%) 的已识别错误发生在复杂的名义组中。此外，分析显示最主要的错误模式涉及冠词错误和复数 -s。研究结果为教学工具的设计提供了信息，以帮助日本材料科学家和语言专家识别和纠正这些错误。81%) 的已识别错误发生在复杂的名义组中。此外，分析显示最主要的错误模式涉及冠词错误和复数 -s。研究结果为教学工具的设计提供了信息，以帮助日本材料科学家和语言专家识别和纠正这些错误。