Helping Language Learners Put Concordance Data in Context

Jeaco, Stephen

doi:10.4018/ijcallt.2017040102

Cited by 6 publications

(1 citation statement)

References 48 publications

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“…On the other hand, Jeaco (2017) argues that corpus tools provide several different ways to display relationships between words within texts and across texts, while the main format for viewing concordance data is the Key Word in Context (KWIC). He states that in Computer Aided Language Learning, concordance lines in the KWIC format may be accessed inside a concordancer or within other software in the concordance line horizontally across the screen with the number of words or letters to the right and left (Jeaco 2017: 22-23).…”

Section: The Kwic Concordancementioning

confidence: 99%

Challenges in the translation of legal texts: the case in Kosovo

Sopjani

Hamiti²

2023

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Our paper conducts a contrastive analysis between Albanian and English lexical units in the language of laws using corpora analysis. It fills a literature gap related to Corpus linguistics in order to better comprehend patterns of legal lexicon. We use KWIC Concordance to extract the top frequently words and concordance lines in order to analyse differences and similarities among lexical units in Albanian (Source Language) and English (Target Language) laws, compared to those identified in respective corpora. Additionally, we identify types of errors in translation, difficulties in translating legal texts, and factors that influence translators’ errors in translating certain laws of the Republic of Kosovo from Albanian into English. According to our analysis, both languages have in common the use of the same grammatical patterns such as: conjunctions, prepositions, and the use of the common noun forms. The rest have significant differences in their usage, especially with regards to particles and determiners. Our contrastive approach demonstrates that some of these laws were not originally written in Albanian and then translated into English language, as many articles within these laws lack the appropriate word structure and word order and in some cases are semantically ill-formed in the Source Language. Key words: analysis, corpus, language, legal, translation, KWIC Concordance.

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Section: The Kwic Concordancementioning

confidence: 99%

Challenges in the translation of legal texts: the case in Kosovo

Sopjani

Hamiti²

2023

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Concordance line sorting in The Prime Machine

Jeaco

2021

IJCL

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Corpus data provide evidence of the patterning of language, and one way word usage can be analysed is through the study of concordance lines. While popular concordancers provide different sorting methods, they are typically only able to display lines in the order in which they occur in the corpus, randomly, or alphabetically by words in slots to the left or right of the word of interest. Less sophisticated users may find recognising patterns from these orderings quite challenging. This paper considers possible needs of language learners in terms of concordance ranking and introduces two methods which have been adopted and developed for The Prime Machine. The first method uses repeated patterns, measuring the number of matches made with other lines in the set. The second method incorporates collocation scores, providing examples with strong collocations from the entire corpus at the top of sampled concordance lines.

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Exploring register withThe Prime Machine

Jeaco

2021

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Corpus approaches underpin a range of postgraduate studies and professional work in language, linguistics, translation and beyond. Awareness of the influences of contextual features on language choice is important for many activities: exploring new text varieties; finding relationships between social factors and language patterning; considering choices for post-editing machine translation; and understanding the very nature of language. Work on register relies on corpus methods, but more support and direction could be offered to help undergraduates gain earlier insights into the power of such corpus analysis. This paper introduces some ways register differences can be revealed through The Prime Machine corpus tool (Jeaco 2017a) and describes the design of a practically-oriented undergraduate module which uses this concordancer. Software features include the organization of texts and presentation of source information for readymade corpora, and methods which can be used to reveal useful starting points for register analysis of do-it-yourself corpora.

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Helping Language Learners Put Concordance Data in Context

Cited by 6 publications

References 48 publications

Challenges in the translation of legal texts: the case in Kosovo

Challenges in the translation of legal texts: the case in Kosovo

Concordance line sorting in The Prime Machine

Exploring register withThe Prime Machine

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