PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

2.47 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (502 utterances, 2,022 words searched).

  1. it doesn't look like a little one . COL · eng_USA_Brown/eve11.cha, line 545 · Eve 1;11
  2. well # it certainly doesn't have a hat on . MOT · eng_USA_Brown/eve11.cha, line 1306 · Eve 1;11
  3. no # Sarah doesn't have any teeth at all . MOT · eng_USA_Brown/eve11.cha, line 1591 · Eve 1;11
  4. she doesn't have any teeth at all . MOT · eng_USA_Brown/eve11.cha, line 1596 · Eve 1;11
  5. that doesn't work on this paper # does it ? COL · eng_USA_Brown/eve11.cha, line 1851 · Eve 1;11
  1. CHIno .
    COLno .
    COL*COL: it doesn't look like a little one .
    CHII can write .
    MOTyou what ?
  2. CHIit had a hat on .
    MOTit has a hat on ?
    MOT*MOT: well # it certainly doesn't have a hat on .
    MOTare you all finished ?
    CHIno .
  3. MOTMom has big teeth .
    CHISarah has little teeth .
    MOT*MOT: no # Sarah doesn't have any teeth at all .
    MOTshe doesn't have any teeth at all .
    CHIbyebye # Fraser .
  4. CHISarah has little teeth .
    MOTno # Sarah doesn't have any teeth at all .
    MOT*MOT: she doesn't have any teeth at all .
    CHIbyebye # Fraser .
    COLbyebye .
  5. CHII write yours .
    CHIwith my pencil .
    COL*COL: that doesn't work on this paper # does it ?
    COLwould you like to write with mine ?
    CHIyours on the table .

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. Eve eng_USA_Brown2.47
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/eve11.chaEve 1;11.2,022552.47

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. doesn't5 · 100.0%