Morphological Relatedness and the Typology of Adjectival Formations in Old English

Urraca, Carmen Novo

doi:10.1080/00393274.2016.1150788

Cited by 8 publications

(3 citation statements)

References 19 publications

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“…While there has been much philological and lexicographical discussion on the morphological development of OE, there have not been parallel advances in the computational study of the language. Apart from the digitized versions of the Dictionary of Old English Corpus -henceforth DOEC- (Healey et al, 2004) and The York-Toronto-Helsinki Parsed Corpus of Old English Prose -hereafter YCOE- (Taylor et al, 2003); the online versions of the Dictionary of Old English -henceforth DOE- (Healey et al, 2018) and of An Anglo-Saxon Dictionary (Tichy & Rocek, 2019); and the series of studies (Mateo Mendaza, 2016;Novo Urraca, 2016;Martín Arista & Ojanguren López, 2018;Vea Escarza, 2018;or Vázquez González & Barðdal, 2019) based on the knowledge base The Grid (Martín Arista, 2013), not many advances have been made in computer-based studies of OE, at a time when Natural Language Processing (NLP) approaches are becoming central to linguistic analysis.…”

Section: Aims Relevance and Scopementioning

confidence: 99%

Advances in the automatic lemmatization of Old English: class V strong verbs (L-Y)

Alonso

2022

Rev. lingüíst. leng. apl.

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The grammatical description of Old English lacks complete and systematic lemmatization, which hinders Natural Language Processing studies in this language, as they strongly rely on the existence of large, annotated corpora. Moreover, the inflectional features of Old English preclude token-based automatic lemmatization. Therefore, specifically goal-oriented applications must be developed to account for the automatic lemmatization of specific variable categories. This article designs an automatic lemmatizer within the framework of Morphological Generation to address the type-based lemmatization of Old English class V strong verbs (L-Y). The lemmatizer is implemented with rules that account for inflectional, derivational and morphophonological variation. The generated forms are compared with the most relevant corpora of Old English for validation before being assigned a lemma. The lemmatizer is successful in supplying form-lemma associations not yet accounted for in the literature, and in identifying mismatches and areas for manual revision.

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Section: Aims Relevance and Scopementioning

confidence: 99%

Advances in the automatic lemmatization of Old English: class V strong verbs (L-Y)

Alonso

2022

Rev. lingüíst. leng. apl.

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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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“…After all, the data combine synchronic and diachronic facts (the outcome of word-formation processes remain for a long time in the lexicon even though the word-formation that created them is no longer operative). The study of Old English morphology and semantics carried out by Kastovsky (1992b) has been continued in four directions: morphological analysis (García García 2019); the semantic analysis of semantic primes , 2016; the analysis of lexical functions (Vea Escarza 2016; and paradigmatic morphology (Martín Arista 2013, 2017Novo Urraca 2015, 2016a, 2016b.…”

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The Semantic Map of "Aktionart" and Lexical Entailment of Old English Strong Verbs

Allo

2022

J. engl. stud. (Logroño, internet)

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The aim of this article is to analyse the semantic relations that hold between Old English primitive and derived verbs in terms of troponymy and Aktionsart. The results of this analysis are presented in a semantic map, while emphasis is made on the points of contact between these phenomena. The main conclusion is that semantic maps represent a more flexible and applicable methodology than previous work suggests since they have been used to deal with one language, to explain historical languages and to refer to specific lexical items. Likewise, this analysis shows evidence of an inherent relationship between both phenomena: troponymy and Aktionsart.

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Morphological Relatedness and the Typology of Adjectival Formations in Old English

Cited by 8 publications

References 19 publications

Advances in the automatic lemmatization of Old English: class V strong verbs (L-Y)

Advances in the automatic lemmatization of Old English: class V strong verbs (L-Y)

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

The Semantic Map of "Aktionart" and Lexical Entailment of Old English Strong Verbs

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