PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

2.52 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (778 utterances, 2,780 words searched).

  1. has everybody got their welly boots ? MOT · eng_british_Manchester_I/anne18a.cha, line 1822 · Anne 2;04
  2. you'd better ask Caroline if she's got her welly boots . MOT · eng_british_Manchester_I/anne18a.cha, line 1829 · Anne 2;04
  3. there's my boots . INV · eng_british_Manchester_I/anne18a.cha, line 1862 · Anne 2;04
  4. we don't want the welly boots in the way then ,, do we ? MOT · eng_british_Manchester_I/anne18a.cha, line 1888 · Anne 2;04
  5. got your welly boots . MOT · eng_british_Manchester_I/anne18a.cha, line 1948 · Anne 2;04
  6. put your welly boots on . MOT · eng_british_Manchester_I/anne18a.cha, line 2175 · Anne 2;04
  7. I'll put my welly boots on . MOT · eng_british_Manchester_I/anne18a.cha, line 2177 · Anne 2;04
  1. CHIgot some welly boots .
    MOTokay .
    MOT*MOT: has everybody got their welly boots ?
    MOTcheck that +...
    MOToh .
  2. MOTcheck that +...
    MOToh .
    MOT*MOT: you'd better ask Caroline if she's got her welly boots .
    CHIgot your welly boots ?
    INVyeah .
  3. INVthere we go .
    INVthere they are .
    INV*INV: there's my boots .
    CHIno .
    INVwhere shall I put them ?
  4. CHImy blanket's in there .
    MOToh right .
    MOT*MOT: we don't want the welly boots in the way then ,, do we ?
    CHIoh .
    CHIcan't see xxx .
  5. CHIgot my welly boots .
    MOTthat's alright then .
    MOT*MOT: got your welly boots .
    CHIxxx .
    INVwith the food .
  6. CHIput my welly boots on .
    MOTokay .
    MOT*MOT: put your welly boots on .
    MOTI'll put my welly boots on .
    MOTbecause it's a bit muddy today at the seaside .
  7. MOTokay .
    MOTput your welly boots on .
    MOT*MOT: I'll put my welly boots on .
    MOTbecause it's a bit muddy today at the seaside .
    MOTright then .

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. Anne eng_british_Manchester_I2.52
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/anne18a.chaAnne 2;4.2,780772.52

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. boots7 · 100.0%