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Grammatical collocations in English essays written by Czech secondary school students Vra Sldkov Masaryk University, Brno Czech Republic Corpus Approaches to Lexicogrammar 22nd June 2019 Content : 1. Specification of collocations 2.


  1. Grammatical collocations in English essays written by Czech secondary school students Věra Sládková Masaryk University, Brno Czech Republic Corpus Approaches to Lexicogrammar 22nd June 2019

  2. Content : 1. Specification of collocations 2. Setting the stage 3. Research aim and design 4. CZEMATELC 2017 5. Results 6. Conclusions and implications for teaching

  3. G8E - G8I (Benson et al., 1986) English Grammar Profile A1 A2 B1 • V inf • V n inf • V – ing/V to- • V n to-inf • will, can, • V inf inf could • look forward • V -ing • like to • V to-inf • V to-inf • V to-inf

  4. Setting the stage: 1. Previous research: gerund vs infinitive distinction • errors (Kim & Yo, 2015) • order of acquisition (Shirahata, 1991) • frequency of use (Schwartz & Causarano, 2007) 2. Specific features of L1: • different mother-tongue patterns • one infinitive form marked by a -t ending

  5. Research methods: ▪ frequency analysis of all collocation patterns of the studied verbs in CZEMATELC 2017 ▪ identification accurate and inaccurate patterns ▪ statistical comparison of frequencies of verb patterns in CZEMATELC, CZECH NATIONAL CORPUS (CNC) and BROWN FAMILY (C8 TAGS)

  6. Procedure : • CZECH MATURITA EXAM LEARNER CORPUS • AntConc 3.4.4w (Anthony, 2014) Frequency Cambridge Advanced Learner’s Dictionary (2008) reference corpus Brown Family (C8 tags) Accuracy • CZECH NATIONAL CORPUS (Křen et al., 2015) • BROWN FAMILY (C8 tags) Comparison

  7. CZEMATELC 2017 CZECH MATURITA EXAM LEARNER CORPUS ▪ 390 essays ▪ 195 students ▪ 0.455% of all essays written in May 2017 ▪ 44, 044 tokens ▪ 2, 765 types ▪ 2 types of essays: 1. a narrative about an unexpected visitor (120 – 150 words) 2. a request written to a friend to lend a bike (60 – 70 words)

  8. Results : 800 700 600 500 Total Correct patterns 400 Errors 300 200 100 0 V to-inf V to-inf V -ing V inf V n to-inf V n inf V -ing

  9. V to-inf (n= 223) want, would like, need, decide, hope, seem, try, afford, manage Frequently occurring patterns: I would like to borrow (n=20) *want go (n=8) I would like to ask (n=19) *Need borrow (n=7) want to ask (n=18) *I need lend (n=6) want to go (n=13) *I want lend (n=5) I need to borrow (n=8) *I want ask if (n=3) hope to hear from you (n=6)

  10. Verb Rel. Freq. V to-inf V inf V past V n V prep V clause V WANT 3,813.6 2,043 771.8 68.1 408.6 227 BF /ČNK 62.5% 57.5% WOULD LIKE 1,793.3 1,452.8 158.9 45.4 22.7 BF /ČNK 72.5% 55% NEED 4,494.6 408.6 340.5 45.4 3,541.2 BF /ČNK 35% 20% 72.5% FORGET 340.5 0 132.6 22.7 68.1 113.5 BF /ČNK 5% 17.5% 57.5% DECIDE 749.1 612.9 22.7 22.7 68.1 BF /ČNK 17.5% 30% HOPE 635.6 136.2 499.4 BF /ČNK 47.5% 0% 82.5% SEEM 22.7 22.7 0 BF /ČNK 57.5% 5% (be) 57.5% LEARN 90.8 0 68.1 22.7 BF /ČNK 15% 20% 25% OFFER 181.6 0 181.6 BF /ČNK 7.5% 0% 45% PLAN 136.2 0 136.2 BF /ČNK 12.5% 20% 57.5% TRY 499.4 317.8 22.7 113.5 22.7 BF/ ČNK 50% 72.5% AFFORD 22.7 22.7 BF/ ČNK 50% 35% AGREE 658.3 0 113.5 544.8 BF /ČNK 17.5% 0% 47.5% 40% EXPECT 612.9 0 567.5 BF /ČNK 40% 0% 60% MANAGE 90.8 68.1 22.7 BF/ ČNK 12.5% 87.5%

  11. V to-inf * For example we visited Prag castle because they want to saw seat of Prezident … 1G -17-9.txt (n=34) * He tried to found him , but he lost his own way. 1L-17-11.txt (n=1)

  12. V to-inf (n=21) V -ing (n=30) like (n=1) start (n=28) start (n=20) like (n=1) stop (n=1) Frequently occurring patterns: • started ringing (n=6) started to ring (n=3) • started talking (n=3) started *talk (n=5) started to be (n=3)

  13. Verb Rel. V to-inf V inf V past V-ing V to-ing V n V clause V V adv V prep V 3 rd person Freq. 635.3 22.7 22.7 45.4 22.7 499.4 LIKE BF /ČNK 26% ? 5% ? 90.8 0 90.8 BOTHER BF /ČNK 30% 15% 7.5% 62.5% 68.1 0 45.4 22.7 BEGIN BF /ČNK 22.5% 72.5% 7.5% 1,770.6 454 272.4 45.4 635.6 68.1 68.1 22.7 22.7 113.5 START 22.7 BF /ČNK 5% 72.5% 15% 22.7 0 22.7 CONTINUE BF /ČNK 50% 0% 1% 25% STOP 385.9 0 68.1 22.7 68.1 45.4 BF /ČNK 2.5% 85% 2.5% 295.1 0 113.5 45.4 90.8 45.4 REMEMBER BF /ČNK 5% 0% 10% 62.5%

  14. V to-inf V -ing * After that everybody stoped do anything. 1H-17-10.txt (n=21) * We were sitting on sofa and he started to kissing me. 1N-17-16.txt (n=3)

  15. V -ing (n=13) love, miss, mind, keep, look forward to Frequently occurring patterns: If you don’t mind (n=6) I am looking forward to hearing from you (n=3) *Would you mind landing (n=2)

  16. Verb Rel. Freq. V -ing V inf V n V prep V V clause HATE 68.1 0 68.1 0 BF /ČNK 2.5% 2.5% 90% 2.5% LOVE 885.3 45.4 839.9 0 BF /ČNK 1% 75% 5% ENJOY 385.9 0 363.2 BF /ČNK 2.5% 60% MISS 204.3 22.7 136.2 BF /ČNK 1% 95% MIND 295.1 68.1 0 227 0 BF /ČNK 35% 7.5% 20% RISK 22.7 0 22.7 0 BF /ČNK 27% 32.5% 25% FINISH 136.2 0 0 90.8 45.4 BF /ČNK 10% 5% 85% KEEP 136.2 22.7 68.1 BF 2.5% ? SUGGEST 90.8 0 22.7 22.7 45.4 BF /ČNK 2.5% 52.5% 25% PRACTISE 22.1 0 0 22.7 BF /ČNK 16% 5% 80% LOOK FORWARD TO 340.5 136.2 68.1 136.2 0 BF /ČNK 32.5% 78% 21%

  17. V – ing * I looking forward to him seeing . 1G-17-11.txt (n=3) * I’m looking forward to meet you . 2Q-17-1.txt (n=3)

  18. V inf (n=722) will, would, can, could, may, should, must Frequently occurring patterns: will be (n=58) will be happy (n=8) would be (n=14) would be grateful (n=5) Could you lend me (n = 26) Can you lend me (n=32) Can I borrow (n=32) Could I borrow (n=11) *Could you borrow me (n=16) *Can you borrow me (n=21)

  19. Verb Rel. Freq. V inf V to-inf V past V -ing V WILL 6,083.6 5,289.1 45.4 158.9 181.6 363.2 WOULD 1,679.8 1,589 CAN 5,992.8 5,448 227 22.7 22.7 COULD 3,427.7 3,268.8 45.4 22.7 MAY 90.8 90.8 MIGHT 0 0 SHALL 0 0 SHOULD 385.9 317.8 22.7 22.7 MUST 499.4 385.9 22.7 68.1 22.7

  20. V past-tense form * My old friend Marek told me that he must came because I’m his best friend. 1Q-17-1.txt (n=8) * I could not believed that was him. 1P-17-5.txt (n=8) * I need it only for that one day. I will not broke it . I promise. 2I-17- 4.txt (n=15)

  21. Possible L1 influence: * I will in Germany on Championschip. 2M-17-12.txt (n=16) *…and I will be always remember to her visit. 1H-17-9.txt (n=5) * I hope he will change and I could him take back . 1P-17- 10.txt (n=6)

  22. V n to-inf (n= 11) want, would like, expect, recommend * When Mom came home I started to try her to keep him. 1F-17- 3.txt (n=1) * I want you to ask you , If you could lend me … 2P-17-11.txt (n=1)

  23. Verb Rel. Freq. V n to-inf V n inf V n clause V n WANT 3,813.6 158.9 22.7 0 408.6 BF /ČNK 5% 12.5% 10% WOULD LIKE 1,793.3 45.4 0 5% 25% 1% BF /ČNK EXPECT 612.9 22.7 22.7 567.5 25% 0% 35% 60% BF /ČNK PERSUADE 22.7 0 22.7 62.5% 0% 55% BF /ČNK TEACH 22.7 0 0 22.7 10% 7.5% 1% BF /ČNK MOTIVATE 45.4 0 0 45.4 37.5% 0% 1% 25% BF /ČNK RECOMMEND 22.7 22.7 0 0 0% 2.5% 15% 37.5% BF /ČNK

  24. V n inf (n=31) let (n=26), make (n=1), help (n=1), hear (n=3) Frequently occurring patterns: Let me know Let me know (n= 11) Make me happy (n=5) * I heard some noise and it made me to go to the kitchen 1I-17-7.txt (n=1)

  25. Verb Rel. V n inf V n V n V n n V n V adj V n -ing V V Freq. to inf adj clause prep LET 635.6 590.2 45.4 0 0 BF /ČNK 77.5% 65% MAKE 590.2 22.7 22.7 227 90.8 227 22.7 BF /ČNK 5% 30% 15% HELP 385.9 22.7 0 317.8 22.7 BF/ ČNK 10% 5% 60% HEAR 1,362 68.1 (113.5) 839.9 113.5 45.4 227 BF/ ČNK 2.5% 2.5% 55% 20%

  26. 100 90 80 70 60 CNC 50 Brown Family CZEMATELC 40 30 20 10 0 let make help hear

  27. V n inf (n=3) → C1 - hear I was holding my breath, but then I heard the person say „Pat?“ 1N- 17-5.txt attempts (n=2) * When I cooked I hear rang the bell at the door. 1J-17-5.txt * I heard someone entry and go upstairs, where … 1P-17-8.txt

  28. V n – ing (n=11) → B2 - hear, see * Just when I started to falling asleep, I heard my doorbell ringing. 1P-17-6.txt When I opened the door, I saw three people smiling at me. 1I-17-3.txt

  29. Conclusion : ▪ low frequency of verbs and patterns that should be mastered at B1 CEFR level. Most typical errors: ▪ bare infinitive (n=79) vs. full infinitive (n=7) ▪ past-tense form complementation (n=49) ▪ gerund (n=9) vs. bare infinitive(n=3)

  30. Conclusion : ▪ 26 verbs - CZEMATELC 2017 + CNC + Brown Family ▪ 9 verbs - CZEMATELC 2017 + CNC ▪ 3 verbs - CZEMATELC 2017 + Brown Family ▪ 14 verbs are most frequently used in the studied patterns ▪ V to-inf (n=6), V inf (n=7), V n inf (n=1) ▪ 14 verbs V n in all 3 corpora ▪ well-rehearsed phrases

  31. These verbs need special attention: V to-inf V inf hope, expect, seem, afford may, should, will V to-inf, V – ing V n to-inf like, begin, stop expect, persuade, teach V – ing V n inf mind, finish make

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