Example of Corpus Linguistics and Linguistic Theory format
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Example of Corpus Linguistics and Linguistic Theory format Example of Corpus Linguistics and Linguistic Theory format Example of Corpus Linguistics and Linguistic Theory format Example of Corpus Linguistics and Linguistic Theory format Example of Corpus Linguistics and Linguistic Theory format Example of Corpus Linguistics and Linguistic Theory format Example of Corpus Linguistics and Linguistic Theory format
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Example of Corpus Linguistics and Linguistic Theory format Example of Corpus Linguistics and Linguistic Theory format Example of Corpus Linguistics and Linguistic Theory format Example of Corpus Linguistics and Linguistic Theory format Example of Corpus Linguistics and Linguistic Theory format Example of Corpus Linguistics and Linguistic Theory format Example of Corpus Linguistics and Linguistic Theory format
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open access Open Access
recommended Recommended

Corpus Linguistics and Linguistic Theory — Template for authors

Publisher: De Gruyter
Categories Rank Trend in last 3 yrs
Language and Linguistics #69 of 879 up up by 68 ranks
Linguistics and Language #80 of 935 up up by 73 ranks
journal-quality-icon Journal quality:
High
calendar-icon Last 4 years overview: 59 Published Papers | 163 Citations
indexed-in-icon Indexed in: Scopus
last-updated-icon Last updated: 13/07/2020
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Journal Performance & Insights

Impact Factor

CiteRatio

Determines the importance of a journal by taking a measure of frequency with which the average article in a journal has been cited in a particular year.

A measure of average citations received per peer-reviewed paper published in the journal.

2.417

152% from 2018

Impact factor for Corpus Linguistics and Linguistic Theory from 2016 - 2019
Year Value
2019 2.417
2018 0.96
2017 1.2
2016 0.76
graph view Graph view
table view Table view

2.8

27% from 2019

CiteRatio for Corpus Linguistics and Linguistic Theory from 2016 - 2020
Year Value
2020 2.8
2019 2.2
2018 1.8
2017 1.4
2016 1.2
graph view Graph view
table view Table view

insights Insights

  • Impact factor of this journal has increased by 152% in last year.
  • This journal’s impact factor is in the top 10 percentile category.

insights Insights

  • CiteRatio of this journal has increased by 27% in last years.
  • This journal’s CiteRatio is in the top 10 percentile category.

SCImago Journal Rank (SJR)

Source Normalized Impact per Paper (SNIP)

Measures weighted citations received by the journal. Citation weighting depends on the categories and prestige of the citing journal.

Measures actual citations received relative to citations expected for the journal's category.

0.437

23% from 2019

SJR for Corpus Linguistics and Linguistic Theory from 2016 - 2020
Year Value
2020 0.437
2019 0.565
2018 0.388
2017 0.288
2016 0.398
graph view Graph view
table view Table view

1.565

22% from 2019

SNIP for Corpus Linguistics and Linguistic Theory from 2016 - 2020
Year Value
2020 1.565
2019 2.015
2018 1.415
2017 1.067
2016 0.875
graph view Graph view
table view Table view

insights Insights

  • SJR of this journal has decreased by 23% in last years.
  • This journal’s SJR is in the top 10 percentile category.

insights Insights

  • SNIP of this journal has decreased by 22% in last years.
  • This journal’s SNIP is in the top 10 percentile category.

Corpus Linguistics and Linguistic Theory

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De Gruyter

Corpus Linguistics and Linguistic Theory

Corpus Linguistics and Linguistic Theory is a newly founded, peer-reviewed journal publishing high-quality original corpus-based research focusing on theoretically relevant issues in all core areas of linguistic research (phonology, morphology, syntax, semantics, pragmatics), ...... Read More

Linguistics and Semiotics

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Last updated on
13 Jul 2020
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ISSN
1613-7027
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Impact Factor
High - 1.104
i
Open Access
No
i
Sherpa RoMEO Archiving Policy
Yellow faq
i
Plagiarism Check
Available via Turnitin
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Endnote Style
Download Available
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Bibliography Name
unsrt
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Citation Type
Numbered
[25]
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Bibliography Example
C. W. J. Beenakker. Specular andreev reflection in graphene. Phys. Rev. Lett., 97(6):067007, 2006.

Top papers written in this journal

open accessOpen access Journal Article DOI: 10.1515/CLLT.2005.1.1.113
Language users as creatures of habit: A corpus-based analysis of persistence in spoken English *

Abstract:

For different reasons, speakers re-use recently used or heard linguistic options whenever they can, a tendency which is referred to as ‘persistence’ in the present paper. The phenomenon has been largely neglected in extant corpus-based, variationist research, and no standard methodology for dealing with the phenomenon is avai... For different reasons, speakers re-use recently used or heard linguistic options whenever they can, a tendency which is referred to as ‘persistence’ in the present paper. The phenomenon has been largely neglected in extant corpus-based, variationist research, and no standard methodology for dealing with the phenomenon is available. By analyzing three well-known alternations (analytic vs. synthetic comparatives, particle placement, and future marker choice) in several spoken corpora of English, this paper demonstrates that factoring in persistence increases the researcher’s ability to account for linguistic variation. It is also shown that persistence itself is subject to several determinants, such as textual distance between two successive choice contexts in discourse, or turn-taking. In conclusion, I argue that persistence is a factor which deserves empirical attention, and that its existence has consequences for both linguistic theory and practice. read more read less

Topics:

Variation (linguistics) (56%)56% related to the paper, Theoretical linguistics (51%)51% related to the paper
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186 Citations
Journal Article DOI: 10.1515/CLLT.2005.1.2.263
Language is never, ever, ever, random

Abstract:

Abstract Language users never choose words randomly, and language is essentially non-random. Statistical hypothesis testing uses a null hypothesis, which posits randomness. Hence, when we look at linguistic phenomena in corpora, the null hypothesis will never be true. Moreover, where there is enough data, we shall (almost) al... Abstract Language users never choose words randomly, and language is essentially non-random. Statistical hypothesis testing uses a null hypothesis, which posits randomness. Hence, when we look at linguistic phenomena in corpora, the null hypothesis will never be true. Moreover, where there is enough data, we shall (almost) always be able to establish that it is not true. In corpus studies, we frequently do have enough data, so the fact that a relation between two phenomena is demonstrably non-random, does not support the inference that it is not arbitrary. We present experimental evidence of how arbitrary associations between word frequencies and corpora are systematically non-random. We review literature in which hypothesis testing has been used, and show how it has often led to unhelpful or misleading results. read more read less

Topics:

Applied linguistics (72%)72% related to the paper
183 Citations
Journal Article DOI: 10.1515/CLLT.2009.001
Corpora and experimental methods: A state-of-the-art review

Abstract:

This paper offers a state-of-the-art review of the combination of corpora and experimental methods. Using a sample of recent studies, it shows (i) that psycholinguists regularly exploit the benefits of combining corpus and experimental data, whereas corpus linguists do so much more rarely, and (ii) that psycholinguists and co... This paper offers a state-of-the-art review of the combination of corpora and experimental methods. Using a sample of recent studies, it shows (i) that psycholinguists regularly exploit the benefits of combining corpus and experimental data, whereas corpus linguists do so much more rarely, and (ii) that psycholinguists and corpus linguists use corpora in different ways in terms of the dichotomy of exploratory/descriptive vs. hypothesis-testing as well as the corpus-linguistic methods that are used. Possible reasons for this are suggested and arguments are presented for why (and how) corpus linguists should look more into the possibilities of complementing their corpus studies with experimental data. read more read less

Topics:

Corpus linguistics (64%)64% related to the paper
View PDF
179 Citations
open accessOpen access Journal Article DOI: 10.1515/CLLT.2006.002
Ways of trying in Russian: clustering behavioral profiles

Abstract:

Abstract This article proposes a methodology for addressing three long-standing problems of near synonym research. First, we show how the internal structure of a group of near synonyms can be revealed. Second, we deal with the problem of distinguishing the subclusters and the words in those subclusters from each other. Finall... Abstract This article proposes a methodology for addressing three long-standing problems of near synonym research. First, we show how the internal structure of a group of near synonyms can be revealed. Second, we deal with the problem of distinguishing the subclusters and the words in those subclusters from each other. Finally, we illustrate how these results identify the semantic properties that should be mentioned in lexicographic entries. We illustrate our methodology with a case study on nine near synonymous Russian verbs that, in combination with an infinitive, express TRY. Our approach is corpus-linguistic and quantitative: assuming a strong correlation between semantic and distributional properties, we analyze 1,585 occurrences of these verbs taken from the Amsterdam Corpus and the Russian National Corpus, supplemented where necessary with data from the Web. We code each particular instance in terms of 87 variables (a.k.a. ID tags), i. e., morphosyntactic, syntactic and semantic characteristics that form a verb's behavioral profile. The resulting co-occurrence table is evaluated by means of a hierarchical agglomerative cluster analysis and additional quantitative methods. The results show that this behavioral profile approach can be used (i) to elucidate the internal structure of the group of near synonymous verbs and present it as a radial network structured around a prototypical member and (ii) to make explicit the scales of variation along which the near synonymous verbs vary. read more read less

Topics:

Brown clustering (70%)70% related to the paper, Cluster analysis (69%)69% related to the paper, Applied linguistics (55%)55% related to the paper
View PDF
158 Citations
Journal Article DOI: 10.1515/CLLT.2005.1.2.225
Usage-based approaches in Cognitive Linguistics: A technical state of the art
José Tummers, Kris Heylen, Dirk Geeraerts

Abstract:

Abstract This paper presents a technical state of the art in usage-based linguistics as defined in the context of Cognitive Linguistics. Starting from actual case studies rather than theoretical assumptions, methodological issues concerning the usage-based approach are addressed, with specific reference to the use of corpus m... Abstract This paper presents a technical state of the art in usage-based linguistics as defined in the context of Cognitive Linguistics. Starting from actual case studies rather than theoretical assumptions, methodological issues concerning the usage-based approach are addressed, with specific reference to the use of corpus materials. The specific methodological identity of usage-based linguistics is described in terms of data gathering strategies and the status of empirical data in linguistic research. From a delineation of corpus research in contrast with introspection, survey research, and experimentation, two criteria emerge as essential for a genuine corpus-oriented usage-based linguistics, viz. the use of quantitative techniques and the systematic operationalization of research hypotheses. It is suggested that paying closer attention to these methodological issues is a prerequisite for the further development of the usage-based approach in Cognitive Linguistics. read more read less

Topics:

Cognitive linguistics (63%)63% related to the paper, Applied linguistics (63%)63% related to the paper, Quantitative linguistics (62%)62% related to the paper, Media linguistics (61%)61% related to the paper, Language and Communication Technologies (60%)60% related to the paper
154 Citations
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Corpus Linguistics and Linguistic Theory format uses unsrt citation style.

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Frequently asked questions

1. Can I write Corpus Linguistics and Linguistic Theory in LaTeX?

Absolutely not! Our tool has been designed to help you focus on writing. You can write your entire paper as per the Corpus Linguistics and Linguistic Theory guidelines and auto format it.

2. Do you follow the Corpus Linguistics and Linguistic Theory guidelines?

Yes, the template is compliant with the Corpus Linguistics and Linguistic Theory guidelines. Our experts at SciSpace ensure that. If there are any changes to the journal's guidelines, we'll change our algorithm accordingly.

3. Can I cite my article in multiple styles in Corpus Linguistics and Linguistic Theory?

Of course! We support all the top citation styles, such as APA style, MLA style, Vancouver style, Harvard style, and Chicago style. For example, when you write your paper and hit autoformat, our system will automatically update your article as per the Corpus Linguistics and Linguistic Theory citation style.

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Sign up for our free trial, and you'll be able to use all our features for seven days. You'll see how helpful they are and how inexpensive they are compared to other options, Especially for Corpus Linguistics and Linguistic Theory.

5. Can I use a manuscript in Corpus Linguistics and Linguistic Theory that I have written in MS Word?

Yes. You can choose the right template, copy-paste the contents from the word document, and click on auto-format. Once you're done, you'll have a publish-ready paper Corpus Linguistics and Linguistic Theory that you can download at the end.

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It only takes a matter of seconds to edit your manuscript. Besides that, our intuitive editor saves you from writing and formatting it in Corpus Linguistics and Linguistic Theory.

7. Where can I find the template for the Corpus Linguistics and Linguistic Theory?

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Of course! You can do this using our intuitive editor. It's very easy. If you need help, our support team is always ready to assist you.

9. Corpus Linguistics and Linguistic Theory an online tool or is there a desktop version?

SciSpace's Corpus Linguistics and Linguistic Theory is currently available as an online tool. We're developing a desktop version, too. You can request (or upvote) any features that you think would be helpful for you and other researchers in the "feature request" section of your account once you've signed up with us.

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After writing your paper autoformatting in Corpus Linguistics and Linguistic Theory, you can download it in multiple formats, viz., PDF, Docx, and LaTeX.

12. Is Corpus Linguistics and Linguistic Theory's impact factor high enough that I should try publishing my article there?

To be honest, the answer is no. The impact factor is one of the many elements that determine the quality of a journal. Few of these factors include review board, rejection rates, frequency of inclusion in indexes, and Eigenfactor. You need to assess all these factors before you make your final call.

13. What is Sherpa RoMEO Archiving Policy for Corpus Linguistics and Linguistic Theory?

SHERPA/RoMEO Database

We extracted this data from Sherpa Romeo to help researchers understand the access level of this journal in accordance with the Sherpa Romeo Archiving Policy for Corpus Linguistics and Linguistic Theory. The table below indicates the level of access a journal has as per Sherpa Romeo's archiving policy.

RoMEO Colour Archiving policy
Green Can archive pre-print and post-print or publisher's version/PDF
Blue Can archive post-print (ie final draft post-refereeing) or publisher's version/PDF
Yellow Can archive pre-print (ie pre-refereeing)
White Archiving not formally supported
FYI:
  1. Pre-prints as being the version of the paper before peer review and
  2. Post-prints as being the version of the paper after peer-review, with revisions having been made.

14. What are the most common citation types In Corpus Linguistics and Linguistic Theory?

The 5 most common citation types in order of usage for Corpus Linguistics and Linguistic Theory are:.

S. No. Citation Style Type
1. Author Year
2. Numbered
3. Numbered (Superscripted)
4. Author Year (Cited Pages)
5. Footnote

15. How do I submit my article to the Corpus Linguistics and Linguistic Theory?

It is possible to find the Word template for any journal on Google. However, why use a template when you can write your entire manuscript on SciSpace , auto format it as per Corpus Linguistics and Linguistic Theory's guidelines and download the same in Word, PDF and LaTeX formats? Give us a try!.

16. Can I download Corpus Linguistics and Linguistic Theory in Endnote format?

Yes, SciSpace provides this functionality. After signing up, you would need to import your existing references from Word or Bib file to SciSpace. Then SciSpace would allow you to download your references in Corpus Linguistics and Linguistic Theory Endnote style according to Elsevier guidelines.

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