PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

5.75 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (316 utterances, 1,218 words searched).

  1. well done . MOT · eng_british_Manchester_II/john32a.cha, line 330 · John 2;10
  2. you've done very well , John . MOT · eng_british_Manchester_II/john32a.cha, line 398 · John 2;10
  3. have you done all the ones with the wheels on ? MOT · eng_british_Manchester_II/john32a.cha, line 435 · John 2;10
  4. you've not done much of this motor+car . MOT · eng_british_Manchester_II/john32a.cha, line 604 · John 2;10
  5. put the ones you've done over there . MOT · eng_british_Manchester_II/john32a.cha, line 799 · John 2;10
  6. well done , John . MOT · eng_british_Manchester_II/john32a.cha, line 942 · John 2;10
  7. this one's done . INV · eng_british_Manchester_II/john32a.cha, line 988 · John 2;10
  1. MOTokay then , John .
    MOToh very good John .
    MOT*MOT: well done .
    MOTvery helpful .
    CHIit's my box .
  2. MOTyeah .
    MOTnice and neat that .
    MOT*MOT: you've done very well , John .
    MOTyou've colored most of that in .
    MOTdid Nicole help you at all ?
  3. CHII draw blue .
    MOTcan't be many pictures that you haven't had a go at now , John .
    MOT*MOT: have you done all the ones with the wheels on ?
    MOTlots of vehicles , aren't there in there ?
    MOTdid you do the digger ?
  4. CHIwhere 0are [*] the baked beans ?
    MOToh John .
    MOT*MOT: you've not done much of this motor+car .
    MOTit's like a very old Bentley or +//.
    MOTI don't know .
  5. MOTand the yellow .
    MOTthat needs sharpening too .
    MOT*MOT: put the ones you've done over there .
    MOTokay .
    MOTthere's just those to sharpen , John .
  6. CHIburp .
    CHIpardon me .
    MOT*MOT: well done , John .
    MOTgood .
    MOTthat's very neat .
  7. CHII xxx this .
    INVoh there .
    INV*INV: this one's done .
    CHIlook .
    MOTright .

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. John eng_british_Manchester_II5.75
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/john32a.chaJohn 2;10.091,218775.75

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. done7 · 100.0%