The third corpus, representing NS learners, is the LOCNESS corpus compiled by S. Granger at the University of Louvain-la-Neuve and usually used as a reference corpus in contrastive studies of learner language. For the purpose of this analysis, only part of LOCNESS corpus (164 684 words) was used so that its

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Locness corpus

The FalkoEssayL1 cor- A comparison of learner corpus with a native speaker corpus, such as LOCNESS, which is the mirror image of the ICLE, yields data on the characteristics of interlanguage, covering features which are typically overused or underused, in addition to those which are misused by language learners.In this study the use of conjunctive adverbs by Turkish learners of English as a Foreign Language (EFL) in their … 2020-12-03 LOCNESS, the control corpus in this research, is the abbreviation of the Louvain Corpus of Native English Essays, a sub-corpus of the International Corpus of Learner English (ICLE). With the aid of Wordsmith, the researchers search copular verbs one by one in the two corpora respectively, and get The National University of Singapore Corpus of Learner English ; English Write & Improve (W&I) and LOCNESS corpus ( W&I+LOCNESSv2.1 ). Despite being renewed and improved, the datasets had several This study examines the characteristics of modal sequences used in ST2 from CLEC ,with A Level from LOCNESS as a reference corpus. Main findings reveals: Firstly, modal sequences led by can, will English (the LOCNESS corpus).

from the ICLE Corpus, Louvain; 2) texts written by their American university counterparts (149, 790 words), a subcorpus from the Locness Corpus, Louvain; and, 3) texts written by professional newspaper writers, from a subcorpus of the Spanish-English Contrastive Corpus, held …

Corpora and English for Academic Purposes Professor Hilary Nesi (PhD) Coventry University, UK h.nesi@coventry.ac.uk Abstract This paper provides an overview of four types of corpus currently available to EAP practitioners, and their strengths and weaknesses: 1. Corpora of “expert” writing – by far the most commo n, because expert writing This study examines the characteristics of modal sequences used in ST2 from CLEC ,with A Level from LOCNESS as a reference corpus. Main findings reveals: Firstly, modal sequences led by can, will LOCNESS is a corpus of native English essays made up of: British pupils’ A level essays: 60,209 words; British university students essays: 95,695 words; American university students’ essays: 168,400 words; Total number of words: 324,304 words LOCNESS corpus (CECL), representing academic essays written by British and American students. The results revealed that many lexical bundles of fixed length identified in a conventional way are fragments NESS corpus, compiled by S. Granger and often used as a reference corpus in contrastive studies of learner language.

LOCNESS is a corpus of native English essays made up of: British pupils’ A level essays: 60,209 words; British university students essays: 95,695 words; American university students’ essays: 168,400 words; Total number of words: 324,304 words. LOCNESS is available under the following conditions: the corpus is to be used for non-commercial purposes only

Sizes of TICLE and JPICLE as EFL learner group and LOCNESS as native group corpora are shown in Table 1. LOCNESS corpus (CECL), representing academic essays written by British and American students.

For comparison purposes, we selected LOCNESS, a corpus of young adult native speakers of English.
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Key 4-word lexical bundles are firstly investigated in terms of their frequencies as LOCNESS is a corpus of native English essays made up of: British pupils’ A level essays: 60,209 words; British university students essays: 95,695 words; American university students’ essays: 168,400 words; Total number of words: 324,304 words LOCNESS-BR 108 9 LOCNESS-US 167 10 The investigation revealed that discourse markers more typical of speech than of academic writing were used by both the Lithuanian learners and the native learners.
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W&I+LOCNESS and FCE corpora can be seen in Table1. The W&I+LOCNESS and the FCE datasets have a similar percentage of some of the most common errors: determiner, preposition, noun and noun number, verb, verb form, and verb tense. Two notable exceptions are punctuation errors (9.71% of all errors in the FCE corpus, and between 17.16% and 19.37%

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Loch Lomond. source. complain. Corpus name: OpenSubtitles2018. License: not specified. References: http://opus.nlpl.eu/OpenSubtitles2018.php,

LOCNESS: is a corpus consisting of essays written by native English students. Cambridge English Write & Improve ( W&I ): Write & Improve (Yannakoudakis et al., 2018) is an online web platform that assists non-native English students with their writing.