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Article published In: International Journal of Learner Corpus Research
Vol. 8:1 (2022) ► pp.67–96

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Research articles

The use of synonymous adjectives by learners of Finnish as a second language

Applying the MuPDAR(F) approach

 | University of Turku
 | University of Turku
Published online: 8 March 2022
DOI logo with link
https://doi.org/10.1075/ijlcr.21006.kek
Abstract
In this study, we apply Gries, S. T., & Deshors, S. C. (2014). Using regressions to explore deviation between corpus data and a standard/target: Two suggestions. Corpora, 9 (1), 109–136. Google Scholar logo with link to Google Scholar and Deshors, S. C., & Gries, T. T. (2016). Profiling verb complementation constructions across New Englishes. A two-step random forests analysis of ing vs. to complements. International Journal of Corpus Linguistics, 21 (2), 192–218. Google Scholar logo with link to Google Scholar MuPDAR(F) approach to explore the use of synonymous adjectives tärkeä (i.e. “important”) and keskeinen (i.e. “central”) in academic native and advanced learner Finnish, linking the phenomenon with the general assumptions of usage-based cognitive linguistics. This method confidently modelled the differences between using near-synonyms in native data and distinguished between native-like and non-native-like uses in learner data. Crucially, it differentiated between the contexts in which one synonym was clearly favoured and those in which either one was acceptable, in accordance with (2020). There’s more to alternations than the main diagonal of a 2×2 confusion matrix: Improvements of MuPDAR and other classificatory alternation studies. ICAME Journal, 44 (1), 69–96. Google Scholar logo with link to Google Scholar. The results suggest that Finnish learners fairly coherently follow the tendencies of native speakers, but several variables differentiate their use of synonyms from the latter’s. We interpret the differences to reflect complexity- and prototypicality-related phenomena. On the one hand, learners use more common options more often. On the other, non-nativelike adjectives are used only in contexts that are structurally in the most prototypical and least complex form, suggesting that learners employ complexity-related structural alternations – e.g., non-prototypical grammatical subjects or degree modifiers – after lexical alternations.
Article outline
  • 1.Introduction
  • 2.Background
    • 2.1Learning synonymy in the crossroads of form, meaning and use
    • 2.2Corpus-based work on near-synonyms
  • 3.Dataset and methodology
    • 3.1Corpus data: Native and non-native written academic Finnish
    • 3.2Data extraction and annotation
    • 3.3The MuPDAR(F) approach
  • 4.Results
    • 4.1Model 1: Random forests for NS Finnish data used to predict the near-synonymous adjectives in advanced NNS Finnish data
    • 4.2Model 2: Random forest on F2 data used to predict F1-likeness in the L2 data
    • 4.3Variables that distinguish between F1-like and non-F1-like uses
      • 4.3.1Adjective choice
      • 4.3.2Word order
      • 4.3.3Type of grammatical subject
      • 4.3.4Case marking
      • 4.3.5The use of modifiers
  • 5.Discussion and concluding remarks
    • 5.1RQ1: Similarities and differences between NS and NNS in the use of tärkeä (“important”) and keskeinen (“central”) in a predicative construction
    • 5.2RQ2: Applicability of the MuPDAR(F) approach to studying the use of near-synonymous adjectives in academic NS and NNS Finnish
    • 5.3Future directions
  • Acknowledgements
  • Notes
  • References
References (57)
References
Arppe, A. (2002). The usage patterns and selectional preferences of synonyms in a morphologically rich language. In A. Morin & P. Sébillot (Eds.), JADT-2002: 6th International Conference on Textual Data Statistical Analysis, Vol. 1 (pp. 21–31). INRIA.Google Scholar logo with link to Google Scholar
(2008). Univariate, bivariate, and multivariate methods in corpus-based lexicography – A study of synonymy (Unpublished doctoral dissertation). University of Helsinki.
Biber, D., Conrad, S., & Reppen, R. (1998). Corpus linguistics: Investigating language structure and use. Cambridge University Press. Google Scholar logo with link to Google Scholar
Bulté, B., & Housen, A. (2012). Defining and operationalising L2 complexity. In A. Housen, F. Kuiken, & I. Vedder (Eds.), Dimensions of L2 performance and proficiency: Complexity, accuracy and fluency in SLA (pp. 21–46). John Benjamins. Google Scholar logo with link to Google Scholar
CEFR (2018). Common European framework of reference for languages: Learning, teaching, assessment. Companion volume with new descriptors. Council of Europe.Google Scholar logo with link to Google Scholar
Cruse, D. A. (1986). Lexical semantics. Cambridge University Press.Google Scholar logo with link to Google Scholar
Danglli, L., & Abazaj, G. (2014). Lexical cohesion, word choice and synonymy in academic writing. Mediterranean Journal of Social Sciences, 5 (14), 628–632. Google Scholar logo with link to Google Scholar
Divjak, D. (2010). Structuring the lexicon: A clustered model for near-synonymy. Mouton de Gruyter. Google Scholar logo with link to Google Scholar
Divjak, D., & Gries, S. T. (2006). Ways of trying in Russian: clustering behavioral profiles. Corpus Linguistics and Linguistic Theory, 2 (1), 23–60. Google Scholar logo with link to Google Scholar
Deshors, S. C., & Gries, S. T. (2014). A case for the multifactorial assessment of learner language. The uses of may and can in French-English interlanguage. In D. Glynn & J. A. Robinson (Eds.), Corpus methods for semantics (pp. 179–201). John Benjamins. Google Scholar logo with link to Google Scholar
Deshors, S. C. (2016). Multidimensional perspectives on interlanguage: Exploring may and can across learner corpora. Presses universitaires de Louvain.Google Scholar logo with link to Google Scholar
Deshors, S. C., Götz, S., & Laporte, S. (Eds.) (2018). Rethinking linguistic creativity in non-native Englishes. John Benjamins. Google Scholar logo with link to Google Scholar
Ellis, N. C. (2008). Usage-based and form-focused language acquisition: The associative learning of constructions, learned attention, and the limited L2 endstate. In N. C. Ellis & P. Robinson (Eds.), Handbook of cognitive linguistics and second language acquisition (pp. 372–405). Routledge.Google Scholar logo with link to Google Scholar
Ellis, N. C., & Robinson, P. (2008). An introduction to cognitive linguistics, Second language acquisition, and language instruction. In N. C. Ellis & P. Robinson (Eds.), Handbook of cognitive linguistics and second language acquisition (pp. 1–24). Routledge.Google Scholar logo with link to Google Scholar
Ellis, N. C., & Larsen-Freeman, D. (2009). Constructing a second language: Analyses and computational simulations of the emergence of linguistic constructions from usage. Language Learning, 59 (1), 90–125. Google Scholar logo with link to Google Scholar
Firth, J. R. (1957). A synopsis of linguistic theory. Studies in linguistic analysis (pp. 1–32). Oxford Blackwell.Google Scholar logo with link to Google Scholar
Glynn, D. (2014). Polysemy and synonymy. Cognitive theory and corpus method. In D. Glynn & J. A. Robinson (Eds.), Corpus methods for semantics (pp. 7–30). John Benjamins. Google Scholar logo with link to Google Scholar
Granger, S. (2004). Computer learner corpus research: Current status and future prospects. In U. Connor & T. Upton (Eds.), Applied corpus Linguistics: A multidimensional perspective (pp. 123–145). Rodopi.Google Scholar logo with link to Google Scholar
(2015). Contrastive interlanguage analysis. A reappraisal. International Journal of Learner Corpus Research, 1 (1), 7–24. Google Scholar logo with link to Google Scholar
Gries, S. T., & Adelman, A. (2014). Subject realization in Japanese conversation by native and non-native speakers: Exemplifying a new paradigm for learner corpus research. In T. Romero (Ed.), Yearbook of corpus linguistics and pragmatics 2014: New empirical and theoretical paradigms (p. 35–54). Springer. Google Scholar logo with link to Google Scholar
Gries, S. T., & Deshors, S. C. (2014). Using regressions to explore deviation between corpus data and a standard/target: Two suggestions. Corpora, 9 (1), 109–136. Google Scholar logo with link to Google Scholar
(2015). EFL and/vs. ESL? A multi-level regression modeling perspective on bridging the paradigm gap. International Journal of Learner Corpus Research, 1 (1), 130–159. Google Scholar logo with link to Google Scholar
(2020). There’s more to alternations than the main diagonal of a 2×2 confusion matrix: Improvements of MuPDAR and other classificatory alternation studies. ICAME Journal, 44 (1), 69–96. Google Scholar logo with link to Google Scholar
(2009). Psycholinguistic and corpus-linguistic evidence for L2 constructions. Annual Review of Cognitive Linguistics, 7 (1), 163–186. Google Scholar logo with link to Google Scholar
Hakulinen, A., Vilkuna, M., Korhonen, R., Koivisto, V., Heinonen, T. R., & Alho, I. (2004). Iso suomen kielioppi [Online version]. Suomalaisen Kirjallisuuden Seura (Finnish Literature Society).Google Scholar logo with link to Google Scholar
Hasselgren, A. (1994). Lexical teddy bears and advanced learners: A study into the ways Norwegian students cope with English vocabulary. International Journal of Applied Linguistics, 4 (2), 237–260. Google Scholar logo with link to Google Scholar
Huumo, T. (2007). Kvantiteetti ja aika II. Nominaalinen aspekti ja suomen predikatiivin sijanvaihtelu. Virittäjä, 111 (1), 3–23.Google Scholar logo with link to Google Scholar
Ivaska, I. (2014). The corpus of advanced learner Finnish (LAS2) – Database and toolkit to study academic learner Finnish. Apples: Journal of Applied Language Studies, 8 (3), 21–38.Google Scholar logo with link to Google Scholar
(2015). Edistyneen oppijansuomen konstruktiopiirteitä korpusvetoisesti: avainrakenneanalyysi (Annales Universitatis Turkuensis C 409) (Unpublished doctoral dissertation). University of Turku.
Ivaska, I., & Bernardini, S. (2020). Constrained language use in Finnish: A corpus-driven approach. Nordic Journal of Linguistics, 43 (1), 33–57. Google Scholar logo with link to Google Scholar
Jantunen, J. H. (2001). “Tärkeä seikka” ja “keskeinen kysymys”: Mitä korpislingvistinen analyysi paljastaa lähisynonyymeistä? Virittäjä, 2 1(2001), 170–192.Google Scholar logo with link to Google Scholar
(2004). Synonymia ja käännössuomi: Korpusnäkökulma samamerkityksisyyden kontekstuaalisuuteen ja käännöskielen leksikaalisiin erityispiirteisiin (Unpublished doctoral dissertation). Faculty of Humanities, Savonlinna School of Translation Studies, University of Joensuu.
(2015). Oppimiskontekstin vaikutus oppijanpragmatiikkaan: astemääritteet leksikaalisina nallekarhuina. Lähivertailuja. Lähivõrdlusi, 25 1, 105–136. Google Scholar logo with link to Google Scholar
Jarvis, S. (2013). Capturing the diversity in lexical diversity. Language Learning, 63 (s1), 87–106. Google Scholar logo with link to Google Scholar
Kangasniemi, H. (1997). Sana, merkitys, maailma. Katsaus leksikaalisen semantiikan perusteisiin. Finn Lectura.Google Scholar logo with link to Google Scholar
Kielitoimiston sanakirja (2020). Kotimaisten kielten keskuksen verkkojulkaisuja 35. Kotimaisten kielten keskus.Google Scholar logo with link to Google Scholar
Kyle, K., & Eguchi, M. (2021). Automatically assessing lexical sophistication using word, bigram, and dependency indices. In S. Granger (Ed.), Perspectives on the L2 Phrasicon: The view from learner corpora (pp. 126–151). Multilingual Matters. Google Scholar logo with link to Google Scholar
Langacker, R. W. (1987). Foundations of cognitive grammar: Theoretical prerequisites. Stanford University Press.Google Scholar logo with link to Google Scholar
LAS1. ( n.d.). Akateemisen suomen korpus. School of Languages and Translation Studies. University of Turku. [URL]
LAS2. ( n.d.). Edistyneiden suomenoppijoiden korpus. School of Languages and Translation Studies. University of Turku (Language Bank of Finland). [URL]
Lyons, J. (1968). Introduction to theoretical linguistics. Cambridge University Press. Google Scholar logo with link to Google Scholar
Martin, M. (1987). Adjektiivipredikatiivin sijasta. Virittäjä, 91 (2), 274–278. Google Scholar logo with link to Google Scholar
Partington, A. (1998). Collocation and synonymy. In A. Partington (Ed.), Patterns and meanings: Using corpora for English language research and teaching (pp. 29–47). John Benjamins. Google Scholar logo with link to Google Scholar
R Core Team. (2018). R: A language and environment for statistical computing. R Foundation for Statistical Computing. [URL]
Ringbom, H. (1998). Vocabulary frequencies in advanced learner English: A cross-linguistic approach. In S. Granger (Ed.), Learner English on computer (pp. 41–52). Longman.Google Scholar logo with link to Google Scholar
(2007). Cross-linguistic similarity in foreign language learning. Multilingual Matters.Google Scholar logo with link to Google Scholar
Rohdenburg, G. (1996). Cognitive complexity and increased grammatical explicitness in English. Cognitive Linguistics, 7 (2), 149–182. Google Scholar logo with link to Google Scholar
Sadeniemi, M. (1950). Totaalisesta ja partiaalisesta predikatiivista. Virittäjä, 54 1, 46–53.Google Scholar logo with link to Google Scholar
Spoelman, M. (2013). Prior linguistic knowledge matters. The use of the partitive case in Finnish learner language (Acta Universitatis Ouluensis B, Humaniora 111) (Unpublished doctoral dissertation). University of Oulu.
Vanhatalo, U. (2003). Kyselytestit vs. korpuslingvistiikka lähisynonyymien semanttisten sisältöjen arvioinnissa – Mitä vielä keskeisestä ja tärkeästä? Virittäjä, 107 (3), 351–369.Google Scholar logo with link to Google Scholar
(2005). Kyselytestit synonymian selvittämisessä. Sanastotietoutta kielenpuhujilta sähköiseen sanakirjaan (Unpublished doctoral dissertation). University of Helsinki.
Wongkhan, P., & Thienthong, A. (2020). EFL Learners’ acquisition of academic collocation and synonymy: Does their academic experience matter? RELC Journal, 1–16.Google Scholar logo with link to Google Scholar
Wright, M. N., & Ziegler, A. (2017). ranger: A fast implementation of random forests for high dimensional data in C++ and R. Journal of Statistical Software, 77 (1), 1–17. Google Scholar logo with link to Google Scholar
Wulff, S., Lester, N., & Martinez-Garcia, M. T. (2014). That-variation in German and Spanish L2 English. Language and Cognition, 6 (2), 271–299. Google Scholar logo with link to Google Scholar
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