PHPCLANCHILDES with regular expressions

18 matches in 18 utterances

8.12 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (641 utterances, 2,218 words searched).

  1. that's right . MOT · eng_british_Manchester_I/anne05b.cha, line 39 · Anne 1;11
  2. that's a good idea . MOT · eng_british_Manchester_I/anne05b.cha, line 108 · Anne 1;11
  3. that's it . MOT · eng_british_Manchester_I/anne05b.cha, line 147 · Anne 1;11
  4. that's going there ,, is it ? MOT · eng_british_Manchester_I/anne05b.cha, line 241 · Anne 1;11
  5. that's it . MOT · eng_british_Manchester_I/anne05b.cha, line 407 · Anne 1;11
  6. that's an elephant . MOT · eng_british_Manchester_I/anne05b.cha, line 460 · Anne 1;11
  7. oh that's nice . INV · eng_british_Manchester_I/anne05b.cha, line 710 · Anne 1;11
  8. that's right . MOT · eng_british_Manchester_I/anne05b.cha, line 819 · Anne 1;11
  9. that's sweet+corn . MOT · eng_british_Manchester_I/anne05b.cha, line 871 · Anne 1;11
  10. that's celery . MOT · eng_british_Manchester_I/anne05b.cha, line 920 · Anne 1;11
  11. that's the man's car . MOT · eng_british_Manchester_I/anne05b.cha, line 1336 · Anne 1;11
  12. that's on the drive . MOT · eng_british_Manchester_I/anne05b.cha, line 1380 · Anne 1;11
  13. that's Rachel's car . MOT · eng_british_Manchester_I/anne05b.cha, line 1415 · Anne 1;11
  14. that's Rachel's car . MOT · eng_british_Manchester_I/anne05b.cha, line 1417 · Anne 1;11
  15. I bet if we used this one # that's yours . MOT · eng_british_Manchester_I/anne05b.cha, line 1536 · Anne 1;11
  16. that's alright then . MOT · eng_british_Manchester_I/anne05b.cha, line 1677 · Anne 1;11
  17. that's it . MOT · eng_british_Manchester_I/anne05b.cha, line 1901 · Anne 1;11
  18. that's what we do ,, don't we ? MOT · eng_british_Manchester_I/anne05b.cha, line 1916 · Anne 1;11
  1. CHIthis here .
    MOTyes .
    MOT*MOT: that's right .
    MOToh .
    MOTit's a whole zoo set ,, is it ?
  2. CHIyeah .
    MOToh .
    MOT*MOT: that's a good idea .
    CHIjust here .
    CHIin here .
  3. MOTwhoops .
    CHIwhoops .
    MOT*MOT: that's it .
    MOTwhoops .
    MOToh .
  4. CHIon here .
    CHIthis here .
    MOT*MOT: that's going there ,, is it ?
    CHIwhoops .
    MOTthere .
  5. CHIthere .
    CHIwhat's this ?
    MOT*MOT: that's it .
    MOTthat one goes in there ,, does it ?
    CHIup .
  6. CHIhere .
    CHIwhat's this ?
    MOT*MOT: that's an elephant .
    CHIno more .
    CHIaah .
  7. CHIfind baby .
    MOTfound baby .
    INV*INV: oh that's nice .
    CHIbaby one .
    MOTbaby +...
  8. CHIgarden .
    MOTwe've got a jungle in our garden .
    MOT*MOT: that's right .
    MOTit's a bit that we call the jungle .
    CHIthis is in [?] here .
  9. MOTa bottle of juice .
    CHIwhat 0is [*] this ?
    MOT*MOT: that's sweet+corn .
    MOTyou like sweet+corn ,, don't you ?
    MOTyou liked corn on the cob .
  10. CHIAnne .
    MOTAnne's eating the sausage .
    MOT*MOT: that's celery .
    CHIcelery .
    MOTcelery .
  11. CHImy .
    CHIwhat's this ?
    MOT*MOT: that's the man's car .
    MOTthe man who's in the kitchen .
    CHIwhere's Anne's ?
  12. CHIAnne's car go .
    MOTAnne's car gone ?
    MOT*MOT: that's on the drive .
    MOTI think +...
    MOToh look .
  13. MOTthe red one .
    MOTthe red one .
    MOT*MOT: that's Rachel's car .
    MOTthat's Rachel's car .
    CHIlook .
  14. MOTthe red one .
    MOTthat's Rachel's car .
    MOT*MOT: that's Rachel's car .
    CHIlook .
    MOTyeah .
  15. MOTlook .
    MOTthe car's going to drive under the bridge .
    MOT*MOT: I bet if we used this one # that's yours .
    MOTxxx .
    MOTwe'll get there in the end .
  16. CHIno .
    MOTwell .
    MOT*MOT: that's alright then .
    CHIcars coming .
    MOTcar coming .
  17. MOTwhere are we going to go when we get to town ?
    MOToh put the xxx .
    MOT*MOT: that's it .
    MOTopen the window .
    MOTopen the window .
  18. CHIxxx .
    MOTare you going to put your fingers through the roof ?
    MOT*MOT: that's what we do ,, don't we ?
    MOTput our fingers through the roof .
    MOTwe go like this .

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. Anne eng_british_Manchester_I8.12
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/anne05b.chaAnne 1;11.182,21818188.12

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. that's18 · 100.0%