Stylometric Classification of Ancient Greek Literary Texts by Genre

Stylometric Classification of Ancient Greek Literary Texts by Genre
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古希腊文学文本的风格分类(按类型)

DOI:
10.18653/v1/w19-2507
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发表时间:
2019
期刊:
Lit. Linguistic Comput.
影响因子:
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通讯作者:
J. P. Dexter
J. P. Dexter
中科院分区:
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文献类型:
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作者:
Efthimios Gianitsos;T. Bolt;Pramit Chaudhuri;J. P. Dexter

文献摘要

被引文献

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文本体裁分类是自然语言处理在文学语料库中的重要应用,但在前现代和非英语传统中仍未得到充分研究。我们为古希腊语开发了一个文体特征集,可以将文本识别为散文或诗歌。该集合包含超过20个主要语法特征,这些特征是根据定制的、特定于语言的启发式计算出来的。利用这些特征,我们将几乎所有幸存的古典希腊文学分类为散文或诗歌,准确率为bb0 97%,得分为F1,并进一步将精选的诗歌文本分类为史诗和戏剧的传统类型。
Classification of texts by genre is an important application of natural language processing to literary corpora but remains understudied for premodern and non-English traditions. We develop a stylometric feature set for ancient Greek that enables identification of texts as prose or verse. The set contains over 20 primarily syntactic features, which are calculated according to custom, language-specific heuristics. Using these features, we classify almost all surviving classical Greek literature as prose or verse with >97% accuracy and F1 score, and further classify a selection of the verse texts into the traditional genres of epic and drama.