PHPCLANCHILDES with regular expressions

10 matches in 10 utterances

4.44 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (504 utterances, 2,250 words searched).

  1. yeah that one'll do . MOT · eng_british_Manchester_II/warr04a.cha, line 82 · Warren 1;11
  2. I could do with some of it . MOT · eng_british_Manchester_II/warr04a.cha, line 523 · Warren 1;11
  3. where do they go ? MOT · eng_british_Manchester_II/warr04a.cha, line 666 · Warren 1;11
  4. do you think that is the last one ? MOT · eng_british_Manchester_II/warr04a.cha, line 754 · Warren 1;11
  5. what did I do with that tissue ? MOT · eng_british_Manchester_II/warr04a.cha, line 1012 · Warren 1;11
  6. can you do it ? INV · eng_british_Manchester_II/warr04a.cha, line 1188 · Warren 1;11
  7. where do they go ? MOT · eng_british_Manchester_II/warr04a.cha, line 1202 · Warren 1;11
  8. do you think that would be a good place for the poorly monkey to go ? MOT · eng_british_Manchester_II/warr04a.cha, line 1500 · Warren 1;11
  9. and what do tigers say ? MOT · eng_british_Manchester_II/warr04a.cha, line 1553 · Warren 1;11
  10. do you think the cow will fit in as well as the gorilla ? MOT · eng_british_Manchester_II/warr04a.cha, line 1707 · Warren 1;11
  1. MOToh crumbs .
    CHImore cars .
    MOT*MOT: yeah that one'll do .
    MOTthis toy box hasn't been the same since Gary came , has it ?
    MOTbrumm@o .
  2. CHIThomas .
    MOTwhat are you on this morning , Warren ?
    MOT*MOT: I could do with some of it .
    CHIdigger go track .
    CHIdigger go track .
  3. MOTthere it goes .
    MOTand these are all yellow bricks , aren't they ?
    MOT*MOT: where do they go ?
    CHIthere .
    CHIgo there .
  4. MOTthat's a difficult one , isn't it ?
    MOTnow what about that one ?
    MOT*MOT: do you think that is the last one ?
    MOToh rubbish , Warren .
    MOTit doesn't go in there .
  5. MOToh: .
    MOTlook at your nose .
    MOT*MOT: what did I do with that tissue ?
    MOTit's a race against time .
    MOTblow .
  6. MOTbecause look .
    MOTyou've got a straight side there and a straight side there .
    INV*INV: can you do it ?
    MOTdoes it make any sense ?
    MOTyou've done it before mate .
  7. MOTdoesn't matter .
    MOTyellow arches .
    MOT*MOT: where do they go ?
    CHIover there .
    MOTbrilliant .
  8. CHIpoorly monkey .
    MOTpoorly monkey might be in hospital with Granddad , might he ?
    MOT*MOT: do you think that would be a good place for the poorly monkey to go ?
    CHII want bash gorilla horse .
    CHII want bash the horse .
  9. MOTwhat else did we see ?
    CHIa tiger .
    MOT*MOT: and what do tigers say ?
    CHIgrr@o .
    MOTwhat else did we see ?
  10. CHIwheels .
    CHIpast the monkey .
    MOT*MOT: do you think the cow will fit in as well as the gorilla ?
    CHIcow .
    CHIcow .

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. Warren eng_british_Manchester_II4.44
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/warr04a.chaWarren 1;11.042,25010104.44

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. do10 · 100.0%