用ALOEV3实现古英语第三类强动词(L-Y)的自动引理

Q1 Arts and Humanities
Roberto Torre Alonso
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引用次数: 1

摘要

本文介绍了ALOEV3,一个基于形态学生成的旅语化器,它允许对以字母L–Y开头的古英语第三类强动词进行基于类型的自动旅语化。变位器是根据该类特有的屈折、派生和形态-语音交替规则进行操作的。将生成的形式类型与两个最著名的古英语语料库,即《古英语语料库词典》和《约克-多伦多-赫尔辛基古英语散文解析语料库》进行核对,以验证它们的证明并分配相应的引理。结果表明,97%的验证形式都成功地分配了一个引理。其余的屈折形式(1256个中的38种)显示了两个引理之间的竞争,这意味着尽管引理器的准确性很高,但仍然需要基于上下文的标记分析来消除歧义。然而,研究表明,竞争只发生在有限的引理对及其导数集中。尽管这项研究只关注一个强动词类,但它证实,通过对已证实的屈折形式类型进行旅语化或突出手动修改的区域,探索自动旅语化的途径将有助于古英语词典编纂领域。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Automatic Lemmatization of Old English Class III Strong Verbs (L-Y) with ALOEV3
This article presents ALOEV3, a lemmatizer based on Morphological Generation that allows for the type-based automatic lemmatization of Old English Class III strong verbs beginning with the letters L–Y. The lemmatizer operates on the basis of the inflectional, derivational and morpho-phonological alternation rules characteristic of this class. The generated form-types are checked against the two most reputed Old English corpora, namely the Dictionary of Old English Corpus and The York-Toronto-Helsinki Parsed Corpus of Old English Prose to validate their attestations and assign the corresponding lemma. Results show that 97 percent of the validated forms are successfully assigned a single lemma. The remaining inflectional forms (38 out of 1,256) show competition between two lemmas, which implies that despite the high level of accuracy of the lemmatizer, contextual, token-based analysis is still needed for disambiguation. However, the research shows that competition only occurs in a limited set of lemma pairs and their derivatives. Although the research focuses on but one strong verb class, it confirms that exploring the avenues of automatic lemmatization will contribute to the field of Old English lexicography by either lemmatizing attested inflectional form types or by highlighting areas for manual revision.
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来源期刊
Journal of English Studies
Journal of English Studies Arts and Humanities-Literature and Literary Theory
CiteScore
0.20
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