Quantifying Systemic Coupling and Syndrome Using Multivariate Statistical Methods

An SFL Corpus Example


  • Bandar Alhumaidi A. Almutairi Qassim University




appraisal; coupling; syndrome; quantitative analysis; multiple correspondence analysis; log-linear model


One of the fundamental underpinnings of systemic functional linguistics (SFL) is that the relationship between language-as-system and language-as-text is modelled probabilistically in relation to the cline of instantiation. This offers a spectrum of new ways to approach several SFL concepts quantitatively. This paper falls within that spectrum as it proposes that the relatively recent concepts of coupling and syndrome can be redefined quantitatively in relation to instantiation through two statistical methods – namely log-linear analysis and multiple correspondence analysis (MCA) The application of these two methods is illustrated through an analysis of a corpus of twelve online voting-based online debate texts (ODTs) The results and discussion sections of this paper show that the methods can identify and quantify significant couplings and syndromes from both probabilistic and statistical perspectives. Both methods illustratively highlight eleven couplings and four syndromes associated with the more persuasive and less persuasive ODTs writers.

Author Biography

Bandar Alhumaidi A. Almutairi, Qassim University

Bandar Alhumaidi A. Almutairi is an assistant professor of linguistics and discourse analysis in the Department of English Language and Translation, at the College of Arabic and Social Sciences, Qassim University, Saudi Arabia.


Abe, M., and Tono, Y. (2005) Variations in L2 Spoken and Written English: Investigating Patterns of Grammatical Errors a Cross Proficiency Levels. Paper presented at the Corpus Linguistics 2005 Conference, Birmingham.

Agresti, A. (2007) An Introduction to Categorical Data Analysis (2nd edition) Hoboken, New Jersey: John Wiley and Sons, Inc.

Akturk, D., Gun, S., and Kumuk, T. (2007) Multiple correspondence analysis technique used in analyzing the categorical data in social sciences. Journal of Applied Sciences 7(4): 585–588. https://doi.org/10.3923/jas.2007.585.588

Allen, M., and Burrell, N. (2002) The negativity effect in political advertising: A meta-analysis. In J. P. Dillard and M. Pfau (eds) The Persuasion Handbook: Developments in Theory and Practice, 83–96. Thousand Oaks, California: SAGE Publications, Inc. https://doi.org/10.4135/9781412976046.n5

Almutairi, B. A. A. (2019) Significant patterns of APPRAISAL in online debates. International Journal of Linguistics, 11(4): 27–69. https://doi.org/10.5296/ijl.v11i4.15040

Andrade, D., Nasukawa, T., and Tsujii, J. i. (2010) Robust Measurement and Comparison of Context Similarity for Finding Translation Pairs. Paper presented at the the 23rd International Conference on Computational Linguistics (Coling 2010), Beijing, China.

Ángeles, M. d. l., and González, G. (2018) Lexical cohesion revisited. A combined corpus and systemic-functional analysis. Quaderns de Filologia: Estudis Lingüístics, XXIII: 105–127. https://doi.org/10.7203/qf.23.13523

Berracheche, A. (2016) Construing Asylum: A Quantitative Critical Discourse Analysis. Université de Vincennes.

Biber, D. (1992) The Multi-dimensional approach to linguistic analyses of genre variation: An overview of methodology and findings. Computers and the Humanities 26(5/6): 331–345. https://doi.org/10.1007/BF00136979

Biber, D., Conrad, S., and Reppen, R. (1998) Corpus Linguistics: Investigating Language Structure and Use. Cambridge: Cambridge University Press. https://doi.org/10.1017/CBO9780511804489

Crible, L. (2017) Discourse Markers and (Dis)fluency: Forms and Functions across Languages and Registers. (PhD), Université catholique de Louvain, Février. https://doi.org/10.1075/pbns.286

Das, B. (2012) Extracting collocations from Bengali text corpus. Procedia Technology 4: 325–329.


Desagulier, G. (2012) Quite New Methods for a Rather Old Issue: Visualizing the Constructional Idiosyncrasies of Quite and Rather in the BNC with Multivariate Statistics. Paper presented at the Corpora at the centre and crossroads of English linguistics (ICAME 33), Leuven.

Desagulier, G. (2017) Corpus Linguistics and Statistics with R: Introduction to Quantitative Methods in Linguistics. Switzerland: Springer International Publishing.

Deshors, S. C. (2017) Zooming in on verbs in the progressive: A collostructional and correspondence analysis approach. Journal of English Linguistics 45(3): 260–290. https://doi.org/10.1177/0075424217717589

Dvorak, J. (2017) To incline another’s heart: The role of attitude in reader positioning. In L. K. F. Dow, C. A. Evans, and A. W. Pitts (eds) The Language and Literature of the New Testament, 599–624. Leiden; Boston: Brill.


Fienberg, S. E., and Rinaldo, A. (2012) Maximum likelihood estimation in log-linear models. The Annals of Statistics 40(2): 996–1023. https://doi.org/10.1214/12-AOS986

Glynn, D. (2014) Correspondence analysis: Exploring data and identifying patterns. In D. Glynn and J. A. Robinson (eds) Corpus Methods for Semantics: Quantitative Studies in Polysemy and Synonymy (Vol. Human Cognitive Processing 43), 443–485. Amsterdam; Philadelphia: John Benjamins. https://doi.org/10.1075/hcp.43.17gly

Glynn, D. (2015) Semasiology and onomasiology: Empirical questions between meaning, naming and context. In J. Daems, E. Zenner, K. Heylen, D. Speelman, and H. Cuyckens (eds) Change of Paradigms – New Paradoxes: Recontextualizing Language and Linguistics, 47–80. Berlin; Boston: De Gruyter Mouton.

Goto, K. (2006) Exploring the possibility of a new approach to text classification. English Corpus Studies 13: 107–122.

Greenacre, M. (2007) Correspondence Analysis versus Spectral Mapping/Weighted Log-ratio Analysis. Paper presented at the JOCLAD 2007 International Conference of Portuguese Classification and Data Analysis Group, Oporto. https://doi.org/10.1201/9781420011234

Gries, S. T. (2010) Useful statistics for corpus linguistics. In A. Sánchez and M. Almela (eds) A Mosaic of Corpus Linguistics: Selected Approaches, 269–292. Frankfurt: Peter Lang GmbH.

Halliday, M. A. (1985) The systemic background. In J. D. Benson and W. S. Greaves (eds) Systemic Perspectives on Discourse: Selected Theoretical Papers from the 9th International Systemic Workshop (Vol. 1), 1–15. Norwood: Ablex Publishing Corporation.

Halliday, M. A. (1991a) Towards probabilistic interpretations. In E. Ventola (ed) Functional and Systemic Linguistics: Approaches and Uses, 39–62. Berlin and New York: Walter de Gruyter. https://doi.org/10.1515/9783110883527.39

Halliday, M. A. (1991b) Corpus Studies and Probabilistic Grammar. In K. Aijmer and B. Altenberg (eds) English Corpus Linguistics: Studies in Honour of Jan Svartvik. London: Longman.

Halliday, M. A. (1992) Language as system and language as instance: The corpus as a theoretical construct. In J. Svartvik (ed) Directions in Corpus Linguistics: Proceedings of Nobel Symposium 82 Stockholm, 4–8 August 1991, 61–78. Berlin: Mouton De Gruyter.

Halliday, M. A. (1995a, 20–24 March 1995) Fuzzy Grammatics: A Systemic Functional Approach to Fuzziness in Natural Language. Paper presented at the Proceedings of 1995 IEEE International Conference on Fuzzy Systems.

Halliday, M. A. (1995b) On language in relation to the evolution of human consciousness. In Of Thoughts and Words, 45–84. n.p.: Imperial College Press. https://doi.org/10.1142/9781908979681_0008

Halliday, M. A. (2003) Introduction: On the ‘architecture’ of human language. In J. Webster (ed) The Collected Works of M. A. K. Halliday (Vol. 3), 1–29 London and New York: Continuum.

Halliday, M. A., and Matthiessen, C. M. I. M. (2004) An Introduction to Functional Grammar (3rd edition) London: A Hodder Arnold Publication.

Halliday, M. A., and Matthiessen, C. M. I. M. (2014) Halliday’s Introduction to Functional Grammar (4th edition). London; New York: Routledge Taylor and Francis Group. https://doi.org/10.4324/9780203783771

Hao, J. (2015) Construing Biology: An Ideational Perspective. (Doctor of Philosophy PhD), University of Sydney, unpublished.

Henry, S. (2019) Indirect Relatedness, Evaluation, and Visualization for Literature Based Discovery. (PhD), Virginia Commonwealth University, Richmond.

Jun, J. (2011) Children’s syntactic knowledge of English derivational morphology: Evidence from early suffixes. Korean Journal of Linguistics 36(4): 1053–1073. https://doi.org/10.18855/lisoko.2011.36.4.010

Kalayci, N., and Basaran, M. A. (2014) A combined approach using multiple correspondence analysis and log-linear models for student perception in quality in higher education. Procedia Economics and Finance 17: 55–62.


Kaneko, E. (2006) Corpus-Based Research on the Development of Nominal Modifiers in L2. Paper presented at the American Association of Applied Corpus Linguistics (AAACL), Flagstaff, Arizona.

Khany, R., and Tazik, K. (2019) Levels of statistical use in applied linguistics research articles: From 1986 to 2015. Journal of Quantitative Linguistics 26(1): 48–65. https://doi.org/10.1080/09296174.2017.1421498

Kolesnikova, O. (2016) Survey of word co-occurrence measures for collocation detection. Computacion y Sistemas 20(3): 327–344. https://doi.org/10.13053/cys-20-3-2456

Krennmayr, T. (2015) What corpus linguistics can tell us about metaphor use in newspaper texts. Journalism Studies 16(4): 530–546. https://doi.org/10.1080/1461670X.2014.937155

Kuebler, S., and Zinsmeister, H. (2015) Corpus Linguistics and Linguistically Annotated Corpora. London; New Delhi; New York; Sydney: Bloomsbury.

Lam, C. (2014, 13–15 Oct. 2014) Visualizing Categorical Data: An Introduction to Correspondence Analysis for Technical Communication Researchers. Paper presented at the 2014 IEEE International Professional Communication Conference (IPCC), Pittsburgh. https://doi.org/10.1109/IPCC.2014.7020345

Lee, C.-s. (2016) A corpus-based approach to transitivity analysis at grammatical and conceptual levels: A case study of South Korean newspaper discourse. International Journal of Corpus Linguistics 21(4): 465–498. https://doi.org/10.1075/ijcl.21.4.02lee

Leech, G. (1992) Corpora and theories of linguistic performance. In J. Svartvik (ed) Directions in Corpus Linguistics. Proceedings of the Nobel Symposium 82, Stockholm, 4–8 August 1991 (Vol. 65), 105–122. Berlin; New York: Mouton de Gruyter.

Libby, J. (2016) The Pauline canon sung in a linguistic key: Visualizing New Testament text proximity by linguistic structure, system, and strata. Biblical and Greek Linguistics 5: 122–201.

Linmans, A. J. M. (1995) Correspondence analysis of the Synoptic Gospels. Literary and Linguistic Computing 10(3): 171–182. https://doi.org/10.1093/llc/10.3.171

Los, B., and Thijs, L. (2019) Syntax, text type, genre and authorial voice in Old English: A data-driven approach. In K. Bech and R. Möhlig-Falke (eds) Grammar – Discourse – Context: Grammar and Usage in Language Variation and Change, 49–92. Berlin; Boston: Walter De Gruyter. https://doi.org/10.1515/9783110682564-003

Macnaught, L. (2015) Classroom Talk and the Negotiation of Academic English: A Linguistic Analysis of Collaborative Text Creation. (Doctor of Philosophy PhD), University of Technology, Sydney, unpublished.

Martin, J. R. (2000) Beyond exchange: Appraisal systems in English. In S. Hunston and G. Thompson (eds) Evaluation in Text: Authorial Stance and the Construction of Discourse, 142–175. New York: Oxford University Press.

Martin, J. R. (2008) Tenderness: Realisation and instantiation in a Botswanan town. In N. Nørgaard (ed) Systemic Functional Linguistics in Use (Special Issue of Papers from 34th International Systemic Functional Congress) (Vol. 29), 30–62. Odense: University of Southern Denmark.

Martin, J. R. (2009) Boomer dreaming: The texture of re-colonisation in a lifestyle magazine. In G. Forey and G. Thompson (eds) Text Type and Texture, 252–284. UK: Equinox Publishing.

Martin, J. R. (2010) Introduction: Semantic variation. In M. Bednarek and J. R. Martin (eds) New Discourse on Language: Functional Perspectives on Multimodality, Identity, and Affiliation, 1–34. London and New York: Continuum.

Martin, J. R., and Rose, D. (2003) Working With Discourse: Meaning Beyond the Clause. London and New York: Continuum.

Martin, J. R., and Rose, D. (2007) Working With Discourse: Meaning Beyond the Clause (2nd edition) London; New York: Continuum.

Martin, J. R., and White: R. R. (2005) Language of Evaluation: Appraisal in English. Hampshire: Palgrave Macmillan.

Matthiessen, C. M. I. M. (2002a) Combining clauses into clause complexes: A multi-faceted view. In J. Bybee and M. Noonan (eds) Complex Sentences in Grammar and Discourse: Essays in Honor of Sandra A. Thompson, 237–322. Amsterdam: Benjamins. https://doi.org/10.1075/z.110.13mat

Matthiessen, C. M. I. M. (2002b) Lexicogrammar in discourse development: Logogenetic patterns of wording. In G. Huang and Z. Wang (eds) Discourse and Language Functions, 91–127. Shanghai: Foreign Language Teaching and Research Press.

Matthiessen, C. M. I. M. (2006) Frequency profiles of some basic grammatical systems. In G. Thompson and S. Hunston (eds) System and Corpus: Exploring Connections, 103–142. London; Oakville: Equinox Publishing Ltd.

McEnery, T. (2006) Swearing in English: Bad Language, Purity and Power from 1586 to the Present. London; New York: Routledge.

McEnery, T., Xiao, R., and Tono, Y. (2006) Corpus-based Language Studies: An Advanced Resource Book. London; New York: Routledge.

Nakamura, J. (1993) Quantitative comparison of modals in the Brown and the LOB corpora. ICAME Journal 17: 29–48.

Nakamura, J., and Sinclair, J. (1995) The world of woman in the bank of english: Internal criteria for the classification of corpora. Literary and

Linguistic Computing 10(2): 99–110. https://doi.org/10.1093/llc/10.2.99

Nesbitt, C., and Plum, G. A. (1988) Probabilities in a systemic-functional grammar: The clause complex in English. In R. Fawcett and D. Young (eds) New Developments in Systemic Linguistics (Vol. 2), 6–39. London: Pinter.

Patpong: (2009) Thai persuasive discourse: A systemic functional approach to an analysis of amulet advertisements. Revista Alicantina de Estudios Ingleses (22): 195–217. https://doi.org/10.14198/raei.2009.22.13

Petrovic, S. (2007) Collocation Extraction Measures for Text Mining Applications (Diploma), University of Zagreb. https://doi.org/10.1109/ITI.2006.1708523

Rodríguez-Vergara, D. (2015) Clause combining in research articles in Spanish and English: A systemic-functional analysis. US-China Foreign Language 13(7): 471–482. https://doi.org/10.17265/1539-8080/2015.07.001

Roux, B. L., and Rouanet, H. (2010) Multiple Correspondence Analysis (Vol. 163) Thousand Oaks, California: Sage.

Rozin, P., and Royzman, E. B. (2001) Negativity bias, negativity dominance, and contagion. Personality and Social Psychology Review 5(4): 296–320. https://doi.org/10.1207/S15327957PSPR0504_2

Schleppegrell, M. J. (2011) Systemic functional linguistics. In J. P. Gee and M. Handford (eds) The Routledge Handbook of Discourse Analysis. NY: Routledge.

Simpson, E. H. (1951) The interpretation of interaction in contingency tables. Journal of the Royal Statistical Society. Series B (Methodological) 13(2): 238–241. https://doi.org/10.1111/j.2517-6161.1951.tb00088.x

Tabata, T. (2009) ‘Wickedly, falsely, traitorously, and otherwise evil-adverbiously, revealing’ the author’s atyle: Correspondence analysis of -ly adverbs in Dickens and Smollett. In M. Hori, T. Tabata, and S. Kumamoto (eds) Stylistic Studies of Literature: In Honour of Professor Hiroyuki Ito. Bern: Peter Lang AG.

Tono, Y. (2009) Variability and invariability in learner language: A corpus-based approach. In Y. Kawaguchi, M. Minegishi, and J. Durand (eds) Corpus Analysis and Variation in Linguistics, 67–82. Amsterdam; Philadelphia: John Benjamins Publishing Company. https://doi.org/10.1075/tufs.1.06ton

Tummers, J., Speelman, D., and Geeraerts, D. (2012) Multiple correspondence analysis as heuristic tool to unveil confounding variables in corpus linguistics. Paper presented at the 11th International Conference on the Statistical Analysis of Textual Data, Liege.

van der Heijden: G. M., and de Leeuw, J. (1985) Correspondence analysis used complementary to loglinear analysis. Psychometrika 50(4): 429–447. https://doi.org/10.1007/BF02296262

Varjo, M. (2019) It takes all kinds to make a zero: Employing multiple correspondence analysis to categorize an open personal construction in conversational Finnish. Corpus Linguistics Research 5: 55–87. https://doi.org/10.18659/CLR.2019.5.03

Warne, R. T. (2018) Statistics for the Social Sciences: A General Linear Model Approach. United Kingdom: Cambridge University Press.

Wilson, A. (2005) Modal verbs in written Indian English: A quantitative analysis of the Kolhapur corpus using correspondence analysis. ICAME Journal 29: 151–170.

Zappavigna, M., Cléirigh, C., Dwyer:, and Martin, J. (2009) The coupling of gesture and phonology. In M. Bednarek and J. R. Martin (eds) New Discourse on Language: Functional Perspectives on Multimodality, Identity, and Affiliation, 237–266. London: Continuum.

Zappavigna, M., Dwyer:, and Martin, J. R. (2007) ‘Just Like Sort of Guilty Kind of’: The Rhetoric of Tempered Admission in Youth Justice Conferencing. Paper presented at the 7th Annual Congress of the Australian Systemic Functional Linguistics Association, Wollongong.

Zappavigna, M., Dwyer:, and Martin, J. R. (2008) Syndromes of meaning: Exploring patterned coupling in a NSW youth justice conference. In A. Mahboob and N. Knight (eds) Questioning Linguistics, 164–185. Newcastle-upon-Tyne: Cambridge Scholars Publishing.

Zhang, W., Yoshida, T., Tang, X., and Ho, T.-B. (2009) Improving effectiveness of mutual information for substantival multiword expression extraction. Expert Systems with Applications 36(8): 10919–10930. https://doi.org/10.1016/j.eswa.2009.02.026

Zhuchkova, S. V., and Rotmistrov, A. N. (2019) In search of multivariate associations: Comparison of CHAID, log-linear analysis, and multiple correspondence analysis. Monitoring of Public Opinion: Economic and Social Changes 2: 32–53. https://doi.org/10.14515/monitoring.2019.2.02



How to Cite

Almutairi, B. A. A. (2021). Quantifying Systemic Coupling and Syndrome Using Multivariate Statistical Methods: An SFL Corpus Example. Linguistics and the Human Sciences, 15(1), 1–38. https://doi.org/10.1558/lhs.19983