PHPCLANCHILDES with regular expressions

30 matches in 21 utterances

18.81 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (400 utterances, 1,595 words searched).

  1. no no no no . MOT · bilingual_eng_Genesee/oli23b04m.cha, line 116 · Olivier 2;03
  2. no no no no . MOT · bilingual_eng_Genesee/oli23b04m.cha, line 116 · Olivier 2;03
  3. no no no no . MOT · bilingual_eng_Genesee/oli23b04m.cha, line 116 · Olivier 2;03
  4. no no no no . MOT · bilingual_eng_Genesee/oli23b04m.cha, line 116 · Olivier 2;03
  5. no no no . MOT · bilingual_eng_Genesee/oli23b04m.cha, line 118 · Olivier 2;03
  6. no no no . MOT · bilingual_eng_Genesee/oli23b04m.cha, line 118 · Olivier 2;03
  7. no no no . MOT · bilingual_eng_Genesee/oli23b04m.cha, line 118 · Olivier 2;03
  8. no ! MOT · bilingual_eng_Genesee/oli23b04m.cha, line 224 · Olivier 2;03
  9. no ! MOT · bilingual_eng_Genesee/oli23b04m.cha, line 226 · Olivier 2;03
  10. no ! MOT · bilingual_eng_Genesee/oli23b04m.cha, line 442 · Olivier 2;03
  11. no ! MOT · bilingual_eng_Genesee/oli23b04m.cha, line 506 · Olivier 2;03
  12. no no, sweetie . MOT · bilingual_eng_Genesee/oli23b04m.cha, line 542 · Olivier 2;03
  13. no no, sweetie . MOT · bilingual_eng_Genesee/oli23b04m.cha, line 542 · Olivier 2;03
  14. no ! MOT · bilingual_eng_Genesee/oli23b04m.cha, line 739 · Olivier 2;03
  15. no, you know it doesn't go there . MOT · bilingual_eng_Genesee/oli23b04m.cha, line 960 · Olivier 2;03
  16. no, Cuckoo Burra doesn't have a red nose . MOT · bilingual_eng_Genesee/oli23b04m.cha, line 995 · Olivier 2;03
  17. no, I don't think he's talking to Samuel . MOT · bilingual_eng_Genesee/oli23b04m.cha, line 1085 · Olivier 2;03
  18. no . MOT · bilingual_eng_Genesee/oli23b04m.cha, line 1105 · Olivier 2;03
  19. no . MOT · bilingual_eng_Genesee/oli23b04m.cha, line 1118 · Olivier 2;03
  20. no, silly ! MOT · bilingual_eng_Genesee/oli23b04m.cha, line 1133 · Olivier 2;03
  21. no no no no ! MOT · bilingual_eng_Genesee/oli23b04m.cha, line 1183 · Olivier 2;03
  22. no no no no ! MOT · bilingual_eng_Genesee/oli23b04m.cha, line 1183 · Olivier 2;03
  23. no no no no ! MOT · bilingual_eng_Genesee/oli23b04m.cha, line 1183 · Olivier 2;03
  24. no no no no ! MOT · bilingual_eng_Genesee/oli23b04m.cha, line 1183 · Olivier 2;03
  25. no . MOT · bilingual_eng_Genesee/oli23b04m.cha, line 1194 · Olivier 2;03
  26. no ? MOT · bilingual_eng_Genesee/oli23b04m.cha, line 1213 · Olivier 2;03
  27. no ! MOT · bilingual_eng_Genesee/oli23b04m.cha, line 1237 · Olivier 2;03
  28. no where [/] where did we go for dinner last night ? MOT · bilingual_eng_Genesee/oli23b04m.cha, line 1280 · Olivier 2;03
  29. no ! MOT · bilingual_eng_Genesee/oli23b04m.cha, line 1342 · Olivier 2;03
  30. no ! MOT · bilingual_eng_Genesee/oli23b04m.cha, line 1431 · Olivier 2;03
  1. CHIje vais montrer à Papa .
    OBS0.
    MOT*MOT: no no no no .
    MOTno no no .
    MOTDaddy's busy, okay ?
  2. OBS0.
    MOTno no no no .
    MOT*MOT: no no no .
    MOTDaddy's busy, okay ?
    CHI0.
  3. MOTdo you want me to cut your nails ?
    CHIno .
    MOT*MOT: no !
    MOTno !
    MOTyou don't like to have your nails cut, do you ?
  4. CHIno .
    MOTno !
    MOT*MOT: no !
    MOTyou don't like to have your nails cut, do you ?
    CHIyyy ciseau [?] .
  5. CHIyy .
    MOTthis !
    MOT*MOT: no !
    MOTwhat is that ?
    MOTa choochoo +...
  6. MOTis it a big boat ?
    CHIno .
    MOT*MOT: no !
    MOTit's a little boat ?
    CHIoui .
  7. MOTa helicopter .
    CHIl'hélicoptère va yy # en haut !
    MOT*MOT: no no, sweetie .
    MOTdon't throw things .
    MOTput the choochoo train back in .
  8. MOTdoes Daddy have a bicycle ?
    CHIno .
    MOT*MOT: no !
    CHI0.
    MOTDaddy doesn't have a bicycle ?
  9. CHIil va ici !
    OBS0.
    MOT*MOT: no, you know it doesn't go there .
    CHI0.
    MOTlet's put the other fireman .
  10. MOThuh ?
    CHICuckoo Burra red nose .
    MOT*MOT: no, Cuckoo Burra doesn't have a red nose .
    MOTwho has a red nose ?
    CHIBugs Bunny .
  11. MOTDaddy's talking to somebody on the phone .
    CHItéléphone la papa de yyy .
    MOT*MOT: no, I don't think he's talking to Samuel .
    MOThe might be talking <to your> [/] # to your grandmother .
    MOTwho's your grandmother .
  12. MOT<but what's> [//] # what's # Bruno's Mommy's name ?
    CHIBruno .
    MOT*MOT: no .
    MOTBruno's Mommy .
    MOTwhat's Bruno's Mommy's name ?
  13. MOTwhat's her name ?
    CHIBruno !
    MOT*MOT: no .
    MOTBruno's Mommy .
    MOTla [/] la mère +/.
  14. CHIyy xxx .
    OBS0.
    MOT*MOT: no, silly !
    MOTyou go and visit her .
    MOTwhen you go and visit her and Samuelle is there .
  15. MOTwhat is Mommy gonna [: going to] have ?
    CHI0.
    MOT*MOT: no no no no !
    MOTwe're not gonna [: going to] show that [=! laughs] !
    CHIje veux voir le bébé .
  16. CHIje veux voir le bébé .
    CHIje veux voir le bébé de Maman .
    MOT*MOT: no .
    MOTlater, honey .
    MOTwhat [/] what is Mommy going to have ?
  17. MOTyou're gonna [: going to] have a baby sister ?
    CHIno .
    MOT*MOT: no ?
    MOTa baby sister or a baby brother ?
    CHIbaby brother .
  18. MOTare you anxious to have a baby brother ?
    CHInon .
    MOT*MOT: no !
    OBS0.
    CHIon va enlever ça .
  19. MOTwhere did we go for dinner last night ?
    CHIxxx .
    MOT*MOT: no where [/] where did we go for dinner last night ?
    MOTmember [: remember] we took the bus ?
    MOTwe took the bus and where did we go ?
  20. MOTdid we take a taxi ?
    CHIoui .
    MOT*MOT: no !
    MOTwe didn't take a taxi .
    MOTwhat did we take ?
  21. CHI+, basketball !
    OBS0.
    MOT*MOT: no !
    MOTyou and I are playing basketball .
    MOTDaddy doesn't go to play basketball .

Matches by age

One dot per transcript: matches per 1,000 words of everyone but CHI. Dots of the same child are joined.

Matches by child

Matches per 1,000 words, all transcripts of each child together, highest first.

  1. Olivier bilingual_eng_Genesee18.81
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_Genesee/oli23b04m.chaOlivier 2;3.201,595213018.81

What the pattern matched

1 different forms (lowercased). Useful to see what a pattern really catches: unexpected forms here usually mean the pattern is too broad.

  1. no30 · 100.0%