PHPCLANCHILDES with regular expressions

15 matches in 15 utterances

8.52 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (485 utterances, 1,760 words searched).

  1. you should have said yesterday you wanted to do an owl . MOT · eng_british_Manchester_I/becky14a.cha, line 86 · Becky 2;04
  2. what does he have on his chin ? MOT · eng_british_Manchester_I/becky14a.cha, line 438 · Becky 2;04
  3. what does he <have on his chin> [>] . MOT · eng_british_Manchester_I/becky14a.cha, line 447 · Becky 2;04
  4. I've got sore lips , have I ? MOT · eng_british_Manchester_I/becky14a.cha, line 470 · Becky 2;04
  5. we have to play with your toys first . MOT · eng_british_Manchester_I/becky14a.cha, line 497 · Becky 2;04
  6. do you want to have a look what's in here ? MOT · eng_british_Manchester_I/becky14a.cha, line 570 · Becky 2;04
  7. let's have a look . MOT · eng_british_Manchester_I/becky14a.cha, line 588 · Becky 2;04
  8. I think you'll have a long walk , Becky . MOT · eng_british_Manchester_I/becky14a.cha, line 779 · Becky 2;04
  9. you have , haven't you ? MOT · eng_british_Manchester_I/becky14a.cha, line 953 · Becky 2;04
  10. he did have a dirty nose but I think it's probably clean now . MOT · eng_british_Manchester_I/becky14a.cha, line 1109 · Becky 2;04
  11. have you dropped them ? MOT · eng_british_Manchester_I/becky14a.cha, line 1168 · Becky 2;04
  12. have you lost one of these little dollys that go in there ? MOT · eng_british_Manchester_I/becky14a.cha, line 1184 · Becky 2;04
  13. have you got them all then ? MOT · eng_british_Manchester_I/becky14a.cha, line 1290 · Becky 2;04
  14. I don't think you've grasped the concept of Snap yet , have you ? MOT · eng_british_Manchester_I/becky14a.cha, line 1338 · Becky 2;04
  15. let me have them that way . MOT · eng_british_Manchester_I/becky14a.cha, line 1370 · Becky 2;04
  1. MOTnext time we do painting we'll do an owl again .
    MOTokay ?
    MOT*MOT: you should have said yesterday you wanted to do an owl .
    CHIyeah .
    INVoh .
  2. MOThe's red , isn't he ?
    MOTwell .
    MOT*MOT: what does he have on his chin ?
    CHII don't know .
    MOTyes .
  3. MOTyes .
    MOTyou do .
    MOT*MOT: what does he <have on his chin> [>] .
    CHI<a beard> [<] .
    MOTa beard .
  4. MOTwhat ?
    CHIyou got a lips sore [*] .
    MOT*MOT: I've got sore lips , have I ?
    MOTthey are a bit sore .
    CHIxxx .
  5. MOTyou want Caroline's toys ?
    MOTwell .
    MOT*MOT: we have to play with your toys first .
    MOTthen we'll bring them in .
    CHIlift it up .
  6. MOTwww .
    MOTare you going to come out from under the table ?
    MOT*MOT: do you want to have a look what's in here ?
    MOTI don't know what's in there , Becky .
    CHIwe have look .
  7. MOTthere we are .
    MOTwhat's in there ?
    MOT*MOT: let's have a look .
    CHIin there .
    CHIwhat's that ?
  8. CHImmhm .
    CHII find um Grandpa and Nana .
    MOT*MOT: I think you'll have a long walk , Becky .
    MOTcan I come ?
    CHIum +...
  9. MOTthat's better .
    CHIthat's [//] that [//] I 0have [*] done drawing .
    MOT*MOT: you have , haven't you ?
    CHII 0have [*] done drawing .
    CHIthis .
  10. INVhas he ?
    INVxxx .
    MOT*MOT: he did have a dirty nose but I think it's probably clean now .
    CHIprobably clean .
    CHIxxx .
  11. MOToh dear .
    MOTwhat's happened ?
    MOT*MOT: have you dropped them ?
    CHImmhm .
    CHIdropped them .
  12. CHIsorry , Becky .
    CHII do .
    MOT*MOT: have you lost one of these little dollys that go in there ?
    MOTwhat's happened to the little boy ?
    MOTdo you know ?
  13. CHIhis wings open .
    CHIpress a button .
    MOT*MOT: have you got them all then ?
    CHIno .
    CHIthere's more here .
  14. MOTcan you remember how to play ?
    CHImmhm .
    MOT*MOT: I don't think you've grasped the concept of Snap yet , have you ?
    MOTright .
    MOTsit down then .
  15. MOTso I'll start .
    MOTno .
    MOT*MOT: let me have them that way .
    MOTI'll start , shall I ?
    CHImmhm .

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. Becky eng_british_Manchester_I8.52
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky14a.chaBecky 2;4.281,76015158.52

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. have15 · 100.0%