The Primary Education Learners’ English Corpus (PELEC): Design and compilation

Suárez, Zeltia Blanco; Puerto, Francisco Gallardo del; Gandón-Chapela, Evelyn

doi:10.32714/ricl.08.01.09

Cited by 4 publications

(3 citation statements)

References 23 publications

(5 reference statements)

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“…The participants in this study were sixty-three Primary Education (Grade 6) students learning L2 English in three schools in the Spanish monolingual region of Cantabria. They constitute a subsample of all the learners from The Primary Education Learners' English Corpus (PELEC) (see Blanco-Suárez et al, 2020). As Table 1 shows, the students in the sample are divided into two age-matched (11-and 12-year-old) groups: the CLIL group (n=28) and the non-CLIL group (n=35).…”

Section: Participantsmentioning

confidence: 99%

“…This investigation draws on data from The Primary Education Learners' English Corpus (PELEC) (Blanco-Suárez et al, 2020). PELEC was compiled as part of a larger project which involved collecting learner data by means of several instruments: from foreign language motivation, communication strategies and background questionnaires to various written and (interactive) oral tasks (writing a letter, telling a story, spot-thedifferences) as well as listening comprehension, reading comprehension and Use of English (cloze) tests.…”

Section: Instruments and Proceduresmentioning

confidence: 99%

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Agreement morphology errors and null subjects in young (non-)CLIL learners

Pena¹,

Puerto²

2021

VIAL

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There is a wealth of studies on L2 English acquisition in CLIL contexts in Spain, but most have underexplored the potential impact of CLIL in the longer run on the morphosyntax of earlier starters from monolingual regions. This paper fills this gap by exploring agreement morphology errors and subject omission in the oral production of Primary Education English learners from the Spanish monolingual community of Cantabria. The sample investigated consists of the individual narration of a story by learners in two age-matched (11-12 year-olds) groups, one CLIL (n=28) and one non- CLIL (n=35). The results show no statistically significant differences between both groups for the provision of specific linguistic features at a younger age, though some evidence also points to a subtle effect of additional CLIL exposure. Both groups show moderately low rates of null subjects; they omit affixal morphology (*he eat ) significantly more frequently than suppletive inflection (*he _ eating) and they seldom produce commission errors (*they eats). Interestingly, non-CLIL learners show far greater rates of omission with auxiliary be than copula be and frequently use the placeholder is (*he is eat), which evinces an earlier stage of acquisition than that of CLIL learners.

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Section: Participantsmentioning

confidence: 99%

Section: Instruments and Proceduresmentioning

confidence: 99%

Agreement morphology errors and null subjects in young (non-)CLIL learners

Pena¹,

Puerto²

2021

VIAL

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“…e existing domestic and foreign corpus resources and corpus software resources are relatively rich, but due to the openness and sharing of resources, a large number of resources are only in the hands of a few researchers or units, which greatly restrict the development of corpus linguistics. Popularization and development have also caused serious waste of resources and duplication of resources [2]. e design of the corpus fully considers the openness and sharing of the library [3].…”

Section: Introductionmentioning

confidence: 99%

Design of Chinese Corpus Based on Semantic Mining Algorithm

2022

Advances in Multimedia

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In order to improve the practical effect of the Chinese corpus, this paper combines the semantic mining algorithm to design the Chinese corpus, proposes an ontology adaptive algorithm based on content learning, and conducts in-depth research on the model of the algorithm. Firstly, in view of the heterogeneity of web information structure and the chaotic nature of information organization, this paper proposes a web content extraction method to effectively remove noise information. Moreover, this paper analyzes an ontology-based text content parsing method, which uses the semantic parsing capability of the ontology to improve the semantic parsing capability of the text. Secondly, this paper proposes the BFA algorithm to optimize the BP neural network. The experimental research shows that the Chinese corpus system based on semantic mining proposed in this paper has a good practical effect and meets the actual needs of Chinese teaching and translation.

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Creation of a Corpus for Determining the Intellectual Potential of Primary School Students

Madatov,

Sattarova

2024

2024 IEEE 25th International Conference of Young Professionals in Electron Devices and Materials (EDM)

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The Primary Education Learners’ English Corpus (PELEC): Design and compilation

Cited by 4 publications

References 23 publications

Agreement morphology errors and null subjects in young (non-)CLIL learners

Agreement morphology errors and null subjects in young (non-)CLIL learners

Design of Chinese Corpus Based on Semantic Mining Algorithm

Creation of a Corpus for Determining the Intellectual Potential of Primary School Students

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