PHPCLANCHILDES with regular expressions

19 matches in 19 utterances

14.54 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (424 utterances, 1,307 words searched).

  1. what's that ? MOT · eng_USA_Bloom/allison1.cha, line 42 · Allison 1;04
  2. what's that ? MOT · eng_USA_Bloom/allison1.cha, line 87 · Allison 1;04
  3. let's see what's in here . MOT · eng_USA_Bloom/allison1.cha, line 213 · Allison 1;04
  4. what's in the bag ? MOT · eng_USA_Bloom/allison1.cha, line 220 · Allison 1;04
  5. what's in the bag ? MOT · eng_USA_Bloom/allison1.cha, line 222 · Allison 1;04
  6. what's Mommy have [= holding cookies] . MOT · eng_USA_Bloom/allison1.cha, line 304 · Allison 1;04
  7. <what's that> [>] ? MOT · eng_USA_Bloom/allison1.cha, line 542 · Allison 1;04
  8. oh, what's the matter ? MOT · eng_USA_Bloom/allison1.cha, line 582 · Allison 1;04
  9. what's the matter ? MOT · eng_USA_Bloom/allison1.cha, line 584 · Allison 1;04
  10. oh, what's the matter ? MOT · eng_USA_Bloom/allison1.cha, line 855 · Allison 1;04
  11. what's the baby say ? MOT · eng_USA_Bloom/allison1.cha, line 1206 · Allison 1;04
  12. what's that ? MOT · eng_USA_Bloom/allison1.cha, line 1277 · Allison 1;04
  13. what's that ? MOT · eng_USA_Bloom/allison1.cha, line 1874 · Allison 1;04
  14. what's that ? MOT · eng_USA_Bloom/allison1.cha, line 1881 · Allison 1;04
  15. what's that ? MOT · eng_USA_Bloom/allison1.cha, line 1889 · Allison 1;04
  16. Here's one cow # here's a big cow # there's a cow, and # what's that ? MOT · eng_USA_Bloom/allison1.cha, line 1897 · Allison 1;04
  17. oh, what's that ? MOT · eng_USA_Bloom/allison1.cha, line 1957 · Allison 1;04
  18. what's that ? MOT · eng_USA_Bloom/allison1.cha, line 1974 · Allison 1;04
  19. what's that ? MOT · eng_USA_Bloom/allison1.cha, line 1990 · Allison 1;04
  1. CHIehwideh@c .
    CHIthere .
    MOT*MOT: what's that ?
    MOTwhat [>] ?
    CHIxxx [<] .
  2. CHIMama wideh@c .
    CHIthere .
    MOT*MOT: what's that ?
    CHIxxx .
    MOTthat's a microphone .
  3. CHIup .
    MOTlet's see what kind of toys we brought today .
    MOT*MOT: let's see what's in here .
    MOTlet's see what kind of toys we brought with us .
    CHI0 .
  4. MOTlet's see what kind of toys we brought with us .
    CHI0 .
    MOT*MOT: what's in the bag ?
    MOTwhat's in the bag ?
    CHIhorse .
  5. CHI0 .
    MOTwhat's in the bag ?
    MOT*MOT: what's in the bag ?
    CHIhorse .
    MOTwhat do you see ?
  6. MOTMommy .
    MOTlet's bring the microphone over .
    MOT*MOT: what's Mommy have [= holding cookies] .
    CHIcookie .
    MOTcookie !
  7. MOTmicrophone .
    CHIxxx .
    MOT*MOT: <what's that> [>] ?
    CHIxxx [<] .
    CHIthere .
  8. MOTthat's very sweet .
    CHI0 [=! pretends to cry] .
    MOT*MOT: oh, what's the matter ?
    MOTwhat's the matter ?
    CHIcookie .
  9. CHI0 [=! pretends to cry] .
    MOToh, what's the matter ?
    MOT*MOT: what's the matter ?
    CHIcookie .
    CHImm cookie .
  10. CHIehwideh@c .
    CHIxxx .
    MOT*MOT: oh, what's the matter ?
    MOTthe baby crying ?
    CHIchair .
  11. CHIxxx .
    CHIxxx .
    MOT*MOT: what's the baby say ?
    CHIyyy .
    MOToh, is the baby sad ?
  12. CHIxxx .
    MOTha !
    MOT*MOT: what's that ?
    CHIxxx .
    CHIxxx .
  13. CHImore .
    CHIthere .
    MOT*MOT: what's that ?
    CHIthere .
    MOTthat .
  14. CHIthere .
    MOTthat .
    MOT*MOT: what's that ?
    CHIxxx .
    MOTyeah .
  15. MOTyeah .
    CHIxxx .
    MOT*MOT: what's that ?
    CHIxxx .
    CHIxxx .
  16. CHIxxx .
    MOTthat's a big cow .
    MOT*MOT: Here's one cow # here's a big cow # there's a cow, and # what's that ?
    CHIxxx .
    MOTa little cow .
  17. MOTthere's the pig .
    CHI0 .
    MOT*MOT: oh, what's that ?
    CHIcow .
    CHIcow .
  18. CHIchair .
    CHIchair .
    MOT*MOT: what's that ?
    CHIMama .
    MOTwhat, darling ?
  19. MOTno no .
    MOTit's a microphone .
    MOT*MOT: what's that ?
    CHIxxx .
    CHIpig .

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. Allison eng_USA_Bloom14.54
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Bloom/allison1.chaAllison 1;4.211,307191914.54

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. what's19 · 100.0%