PHPCLANCHILDES with regular expressions

13 matches in 12 utterances

6.83 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (546 utterances, 1,903 words searched).

  1. where was the one on there ? MOT · eng_british_Manchester_I/becky27a.cha, line 520 · Becky 2;09
  2. I was wrong , Becky . INV · eng_british_Manchester_I/becky27a.cha, line 883 · Becky 2;09
  3. in fact you said it was a wheel and I thought it was a sun+dial . INV · eng_british_Manchester_I/becky27a.cha, line 893 · Becky 2;09
  4. in fact you said it was a wheel and I thought it was a sun+dial . INV · eng_british_Manchester_I/becky27a.cha, line 893 · Becky 2;09
  5. you <were right and I was wrong> [>] . INV · eng_british_Manchester_I/becky27a.cha, line 916 · Becky 2;09
  6. was it ? MOT · eng_british_Manchester_I/becky27a.cha, line 1071 · Becky 2;09
  7. a story , that one was . MOT · eng_british_Manchester_I/becky27a.cha, line 1153 · Becky 2;09
  8. that was the story you just told it in , didn't you ? MOT · eng_british_Manchester_I/becky27a.cha, line 1170 · Becky 2;09
  9. that was the story , Becky . MOT · eng_british_Manchester_I/becky27a.cha, line 1185 · Becky 2;09
  10. I was confused . MOT · eng_british_Manchester_I/becky27a.cha, line 1528 · Becky 2;09
  11. what did you say was after the dog ? MOT · eng_british_Manchester_I/becky27a.cha, line 1659 · Becky 2;09
  12. Michael was eating your lunch ? MOT · eng_british_Manchester_I/becky27a.cha, line 1966 · Becky 2;09
  13. what was that ? MOT · eng_british_Manchester_I/becky27a.cha, line 2106 · Becky 2;09
  1. MOTnow .
    CHIyeah .
    MOT*MOT: where was the one on there ?
    MOTis that her legs ?
    CHIyeah .
  2. MOTI think that's a wheelbarrow wheel actually .
    CHIwhere's the wheelbarrow ?
    INV*INV: I was wrong , Becky .
    MOTit isn't a sun+dial .
    INVit's a wheelbarrow .
  3. MOTit's a wheel .
    INVit's a wheel .
    INV*INV: in fact you said it was a wheel and I thought it was a sun+dial .
    CHIit's a sun+dial , Mummy .
    INVoh sorry .
  4. MOTI think you were right .
    INVyeah .
    INV*INV: you <were right and I was wrong> [>] .
    MOT<if you look> [<] at the picture on here .
    CHIyeah .
  5. CHII did .
    CHIand it was in [/] in mud .
    MOT*MOT: was it ?
    CHIyes .
    MOTand [/] and picked it out now .
  6. CHIno .
    CHIwhat ?
    MOT*MOT: a story , that one was .
    CHIwhat ?
    MOTall about eating apples in being in hospital .
  7. CHIcan you show me in the story ?
    MOTno .
    MOT*MOT: that was the story you just told it in , didn't you ?
    MOTyou said if I ate an apple I'd be sick .
    MOTand then I'd have to go to hospital .
  8. CHIno .
    CHIwhere's the story ?
    MOT*MOT: that was the story , Becky .
    CHIwhere +//.
    MOTcome on .
  9. MOTno .
    MOTwe haven't got a cat .
    MOT*MOT: I was confused .
    MOTI thought we had a cat but we don't .
    CHIwe have got a cat .
  10. CHIit doesn't fit in .
    MOTand then what's after +//.
    MOT*MOT: what did you say was after the dog ?
    CHIthe elephant .
    MOTand can you see the elephant ?
  11. MOThave you forgotten ?
    CHIthat Michael 0is [*] eating my lunch .
    MOT*MOT: Michael was eating your lunch ?
    CHIyeah .
    MOToh dear .
  12. CHIand you can't eat a elephant .
    CHII have that .
    MOT*MOT: what was that ?
    MOTwhat is it ?
    CHIit's +...

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_I6.83
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky27a.chaBecky 2;9.061,90312136.83

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. was13 · 100.0%