Old English deadjectival paradigms

Urraca, Carmen Novo

doi:10.1075/nowele.68.1.02urr

Cited by 8 publications

(4 citation statements)

References 17 publications

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“…An article filling the gap just described may contribute to the research programme in the linguistic analysis of Old English carried out by García García (2012, 2013), González Torres (2010a, 2010b, 2011), Martín Arista (2012a, 2012b, 2017, 2018, Mateo Mendaza (2013, 2015a, 2015b, 2016), Novo Urraca (2015, Torre Alonso (2011aAlonso ( , 2011b and Vea Escarza (2012, 2013, 2014, 2016a, 2016b).…”

Section: Inflectional Variation In the Old English Participle A Corpmentioning

confidence: 99%

Inflectional Variation in the Old English Participle. A Corpus-based Analysis

López

2018

J. engl. stud. (Logroño, internet)

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This article deals with the coexistence of verbal and adjectival inflection in the Old English past participle. Its aim is to assess the degree of variation in the inflection of the participle so as to determine whether or not the change starts in the Old English period. The analysis is based on two corpora, the “York Corpus of Old English” and the “Dictionary of Old English Corpus”. With these corpora the following variants of the inflection of the participle are analysed: genre (prose and verse), tense (present and past), morphological class (weak vs. strong) and case (nominative, accusative, genitive, dative and instrumental). The main conclusion of the article is that the quantitative evidence from the corpora indicates that the degree of variation presented by the participle in Old English shows that diachronic change is underway. Overall, the past participle and poetic texts clearly reflect the loss of inflection, while the adjectival inflection of the participle co-occurs with its adjectival function.

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Section: Inflectional Variation In the Old English Participle A Corpmentioning

confidence: 99%

Inflectional Variation in the Old English Participle. A Corpus-based Analysis

López

2018

J. engl. stud. (Logroño, internet)

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“…Finally, this article may be seen as a contribution to the linguistic analysis of OE with lexical databases carried out, among others, by García García (2019), Martín Arista (2012a;2012b;2013a;2013b;2016;2017a;2017b;2020a;2020b;2021a;2021b), Vea Escarza (2013), Mateo Mendaza (2014), Novo Urraca (2015), Martín Arista and Ojanguren López (2018), Ojanguren López (2020), and Garcia García and Ruiz Narbona (2021.…”

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confidence: 96%

Automatic Lemmatization of Old English Class III Strong Verbs (L-Y) with ALOEV3

Alonso

2022

J. engl. stud. (Logroño, internet)

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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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“…Along with the compilation of the initial inventory of lemmas of strong verbs and the design of a lemmatisation method, this article aims at maximising the automatic search for the inflectional forms of the verbs under analysis, with the corresponding minimisation of manual revision. With these aims, this article contributes to the research line in the linguistic analysis of Old English pursued, among others, by García García ), Martín Arista (2012a, 2012b, fc-a, fc-b), Mateo Mendaza (2013, 2015a, 2015b, 2016), Novo Urraca (2015, 2016a, 2016b) and Vea Escarza (2012, 2016. The relevance of the undertaking lies in the lack of a lemmatised corpus of Old English.…”

Section: Aims and Scopementioning

confidence: 99%

Strong verb lemmas from a corpus of old english. Advances and issues

Rodríguez

2017

Rev. lingüíst. leng. apl.

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Abstract:The aim of this article is to devise the method of lemmatisation of strong verbs from a corpus of Old English with a view to maximising the automatic search for the inflectional forms, with the corresponding minimisation of manual revision of the verbs under analysis. The search algorithm, which consists of query strings and filters, is launched on the lemmatiser Norna, a component of the lexical database of Old English Nerthus. The conclusions of the article insist on the limits of automatic lemmatisation as well as the paths of refinement of the lemmatisation method in order to accomodate less predictable forms.Keywords: lemmatisation, Old English, lexical database, morphology, orthography. LEMAS DE VERBOS FUERTES DESDE UN CORPUS DE INGLÉS ANTIGUO: AVANCES Y PROBLEMASResumen: el objetivo del presente artículo es idear un método de lematización de verbos fuertes de inglés antiguo, con el propósito de maximizar la búsqueda automática de formas flexivas, con la correspondiente reducción en la revisión manual de los verbos en estudio. El algoritmo de búsqueda consiste en cadenas de búsqueda y filtros, ejecutados en el lematizador Norna, un componente de la base de datos léxica de inglés antiguo Nerthus. Las conclusiones del artículo insisten en los límites de la lematización automática, así como en las posibilidades de refinamiento del método de lematización para acomodar las formas menos predecibles.Palabras clave: lematización, inglés antiguo, base de datos léxica, morfología, ortografía. AIMS AND SCOPEThis article deals with the morphology of Old English and, more specifically, with the lemmatisation of strong verbs based on the textual forms in the Dictionary of Old English Corpus (henceforth DOEC).1 It focuses on the analytical steps required by lemmatisation as well as on the implementation of such steps in the lemmatiser Norna, an integral part of the lexical database of Old English Nerthus (www.nerthusproject.com). Along with the compilation of the initial inventory of lemmas of strong verbs and the design of a lemmatisation method, this article aims at maximising the automatic search for the inflectional forms of the verbs under analysis, with the corresponding minimisation of manual revision. With these aims, this article contributes to the research line in the linguistic analysis of Old English pursued, among others, by García García ), Martín Arista (2012a, 2012b, fc-a, fc-b), Mateo Mendaza (2013, 2015a, 2015b, 2016), Novo Urraca (2015, 2016a, 2016b) and Vea Escarza (2012, 2016. The relevance of the undertaking lies in the lack of a lemmatised corpus of Old English. The corpus of reference in the field of Old English studies, the DOEC, is annotated at text level (edition, author, prose/poetry/gloss) but dos not offer word tagging, neither by attested form nor by lemma. Other remarkable corpora, like the The York-Helsinki Parsed Corpus of Old English Poetry 1 This research has been funded through the project FFI2014-59110 (MINECO), which is gratefully acknowledged.

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Old English deadjectival paradigms

Cited by 8 publications

References 17 publications

Inflectional Variation in the Old English Participle. A Corpus-based Analysis

Inflectional Variation in the Old English Participle. A Corpus-based Analysis

Automatic Lemmatization of Old English Class III Strong Verbs (L-Y) with ALOEV3

Strong verb lemmas from a corpus of old english. Advances and issues

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