The lemmatization of Old English Verbs from the second weak class on a lexical database

Sáenz, Marta Tío

doi:10.18172/jes.2861

Cited by 3 publications

(6 citation statements)

References 15 publications

(1 reference statement)

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“…To the best of my knowledge, just a handful of works have been published dealing with the automatic lemmatization of OE and none has used Weak Supervision models. Metola Rodríguez (2015Rodríguez ( , 2017, Tío Sáenz (2019) and García Fernández (2020) have tackled the lemmatization of strong verbs, weak verbs, and anomalous and contracted verbs respectively. While differing in the methodological approaches due to the particular features of each verb class and in the scope of their research, these authors develop semi-automatic search systems to identify potential verb forms in the corpus.…”

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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“…Novo Urraca and Ojanguren López (2018) have successfully incorporated lemma assignment to the YCOE syntactic treebanks. Metola Rodríguez (2015; has tackled the lemmatisation of strong verbs; Tío Sáenz (2019) has dealt with weak verbs; and García Fernández (2020) has engaged in the identification of lemmas for preterite-present, anomalous, and contracted verbs. These authors set their research on the knowledge base The Grid (Martín Arista 2013b), while adopting different approaches and scopes that will be discussed in turn.…”

Section: Previous Research On Oe (Semi)-automatic Lemmatizationmentioning

confidence: 99%

“…While they adopt similar search strategies, Metola Rodríguez (2015) and Tío Sáenz (2019) differ in the scope of their research in two ways. For one, Metola Rodriguez (2015; 2017) does not take participial forms into consideration.…”

Section: Previous Research On Oe (Semi)-automatic Lemmatizationmentioning

confidence: 99%

“…For one, Metola Rodriguez (2015; 2017) does not take participial forms into consideration. However, Tío Sáenz (2019) acknowledges the verbal nature of past and present participial adjectives and develops a particular QS to detect them. For another, Metola Rodríguez (2015; 2017) compares his data with the DOE while Tío Sáenz (2019) additionally checks her results against the YCOE.…”

Section: Previous Research On Oe (Semi)-automatic Lemmatizationmentioning

confidence: 99%

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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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“…Como trabalho futuro, desenharemos um método automático de normalização de variantes para a língua medieval galego-portuguesa tomando em conta regras fonológicas, como já se fez para uma parte do léxico do Inglês Antigo (Sáenz, 2015). O normalizador/lematizador assim construido permitirá alargar o modelo de língua do nosso etiquetador, com base no corpus anotado CIPM previamente enriquecido com os lemas automaticamente gerados.…”

Section: Conclusõesunclassified

Uso de tecnologias linguı́sticas para estudar a evolução dos sufixos -ÇOM e -VEL no galego-português medieval a partir de corpora históricos

Gamallo

Campos²,

Santalha³

et al. 2021

Linguamática

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O trabalho apresentado neste artigo tem dois objectivos. Por um lado, descreve a adaptação de duas ferramentas de processamento da língua natural ao galego-português medieval, nomeadamente um analisador morfossintático e um reconhededor de variedades medievais, e por outro, visa testar hipóteses linguísticas sobre a evolução de sufixos medievais mediante o uso dessas ferramentas em corpora históricos. Apesar de o desempenho das ferramentas ser inferior do que quando utilizadas para variedades modernas mais estandardizadas e com menos variabilidade formal, mostramos que é possível usá-las com grande fiabilidade para estudos quantitativos baseados em corpus. O estudo linguístico baseado em corpus permite-nos conferir que, pela sua distribuição de frequências, a presença dos sufixos -CION e -BLE nos textos medievais da Galiza foi provavelmente influenciada pelo castelhano baixo medieval.

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The lemmatization of Old English Verbs from the second weak class on a lexical database

Abstract: ABSTRACT. This article compiles a list of lemmas of the second class weak verbs of Old English by using the latest version of the lexical database

Cited by 3 publications

References 15 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)

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

Uso de tecnologias linguı́sticas para estudar a evolução dos sufixos -ÇOM e -VEL no galego-português medieval a partir de corpora históricos

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