用NooJ将17世纪英语文本自动转换为现代英语：方法与评价
Automatic transcription of 17th century English text in Contemporary English with NooJ: Method and Evaluation
摘要：
自2006年以来，我们一直致力于描述17世纪英语和当代英语之间的差异，这要归功于NLP软件。研究一个跨越整个世纪的语料库（17世纪奥斯曼帝国的英国旅行者的故事，玛丽·阿斯特尔的论文《对女士们的严肃建议》和其他文学文本）使我们能够突出各种词汇，形态或语法的奇异性。感谢NooJ语言平台，我们创建了词典索引词汇变体及其在CE中的转录。后者通常是形态图动态识别的形式验证的结果。我们还建立了句法图表，旨在转录当代英语中的某些古老形式。我们以前的研究暗示了一系列交替的文本分析和结果验证的基本步骤。我们设法提供了transmitting的例子，但我们还没有创建一个全球性的自动转录工具。因此，我们需要关注迄今为止所取得的成果，研究创建这种工具的条件，并分析可能存在的困难。在本文中，我们将讨论我们在以前的工作中尚未涉及的技术和语言方面。我们正在使用以前的研究成果，并提出一个转录方法的单词或序列确定为古老的。
英文摘要：
Since 2006 we have undertaken to describe the differences between 17th century English and contemporary English thanks to NLP software. Studying a corpus spanning the whole century (tales of English travellers in the Ottoman Empire in the 17th century, Mary Astell's essay A Serious Proposal to the Ladies and other literary texts) has enabled us to highlight various lexical, morphological or grammatical singularities. Thanks to the NooJ linguistic platform, we created dictionaries indexing the lexical variants and their transcription in CE. The latter is often the result of the validation of forms recognized dynamically by morphological graphs. We also built syntactical graphs aimed at transcribing certain archaic forms in contemporary English. Our previous research implied a succession of elementary steps alternating textual analysis and result validation. We managed to provide examples of transcriptions, but we have not created a global tool for automatic transcription. Therefore we need to focus on the results we have obtained so far, study the conditions for creating such a tool, and analyze possible difficulties. In this paper, we will be discussing the technical and linguistic aspects we have not yet covered in our previous work. We are using the results of previous research and proposing a transcription method for words or sequences identified as archaic.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
