PHPCLANCHILDES with regular expressions

12 matches in 12 utterances

5.27 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (573 utterances, 2,275 words searched).

  1. who's this ? MOT · eng_british_Manchester_I/becky05a.cha, line 780 · Becky 2;01
  2. so who's up the ladder ? MOT · eng_british_Manchester_I/becky05a.cha, line 938 · Becky 2;01
  3. who's this ? MOT · eng_british_Manchester_I/becky05a.cha, line 1005 · Becky 2;01
  4. and who makes you cakes with cherrys on ? MOT · eng_british_Manchester_I/becky05a.cha, line 1136 · Becky 2;01
  5. who makes cakes with cherrys on ? MOT · eng_british_Manchester_I/becky05a.cha, line 1141 · Becky 2;01
  6. and who was with you then when you went on the train ? MOT · eng_british_Manchester_I/becky05a.cha, line 1234 · Becky 2;01
  7. and who else was with you ? MOT · eng_british_Manchester_I/becky05a.cha, line 1243 · Becky 2;01
  8. who watched you and waved ? MOT · eng_british_Manchester_I/becky05a.cha, line 1248 · Becky 2;01
  9. who was waving to you ? MOT · eng_british_Manchester_I/becky05a.cha, line 1254 · Becky 2;01
  10. and who else ? MOT · eng_british_Manchester_I/becky05a.cha, line 1260 · Becky 2;01
  11. and who else was waving ? MOT · eng_british_Manchester_I/becky05a.cha, line 1266 · Becky 2;01
  12. who else was waving to you ? MOT · eng_british_Manchester_I/becky05a.cha, line 1275 · Becky 2;01
  1. CHINoddy .
    MOTthere's Noddy and the other man in his car .
    MOT*MOT: who's this ?
    CHIelephant .
    MOTelephant .
  2. CHIladder .
    MOTa ladder .
    MOT*MOT: so who's up the ladder ?
    CHIa man .
    MOTa man .
  3. MOTwhat have we got here ?
    MOTTessy_bear is buying a pretty scarf at the market .
    MOT*MOT: who's this ?
    CHIum teddy+bear .
    MOTTessy_bear that is ?
  4. CHIcherrys .
    MOTcherrys .
    MOT*MOT: and who makes you cakes with cherrys on ?
    MOThuh ?
    MOTwho makes cakes with cherrys on ?
  5. MOTand who makes you cakes with cherrys on ?
    MOThuh ?
    MOT*MOT: who makes cakes with cherrys on ?
    CHIMama .
    MOTGrandma .
  6. MOTit was good fun , wasn't it ?
    CHIyeah .
    MOT*MOT: and who was with you then when you went on the train ?
    CHIme .
    MOTyou went on .
  7. MOTyou went on .
    MOTyeah .
    MOT*MOT: and who else was with you ?
    MOTwho watched you and waved ?
    CHIboys .
  8. MOTyeah .
    MOTand who else was with you ?
    MOT*MOT: who watched you and waved ?
    CHIboys .
    MOTboys were on the train yes .
  9. CHIboys .
    MOTboys were on the train yes .
    MOT*MOT: who was waving to you ?
    CHIMama .
    MOTGrandma was waving .
  10. CHIMama .
    MOTGrandma was waving .
    MOT*MOT: and who else ?
    CHIMummy .
    MOTMummy was waving .
  11. CHIMummy .
    MOTMummy was waving .
    MOT*MOT: and who else was waving ?
    CHIJanet .
    MOTno .
  12. MOTno .
    MOTJanet wasn't there , was she ?
    MOT*MOT: who else was waving to you ?
    MOTwas it Grandpa ?
    CHIyeah .

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_I5.27
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky05a.chaBecky 2;1.242,27512125.27

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. who12 · 100.0%