PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

2.51 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (550 utterances, 2,387 words searched).

  1. two street lights ? MOT · eng_USA_Brown/adam28.cha, line 961 · Adam 3;04
  2. maybe we can attach it to two chairs . MOT · eng_USA_Brown/adam28.cha, line 1919 · Adam 3;04
  3. you have two kitchens . MOT · eng_USA_Brown/adam28.cha, line 2015 · Adam 3;04
  4. why d(o) you have two ? MOT · eng_USA_Brown/adam28.cha, line 2019 · Adam 3;04
  5. here are two . MOT · eng_USA_Brown/adam28.cha, line 2560 · Adam 3;04
  6. those two are just alike . MOT · eng_USA_Brown/adam28.cha, line 2719 · Adam 3;04
  1. eng_USA_Brown/adam28.cha, line 961 · Adam, 3;4.01
    CHIwhat you cutting ?
    CHItwo street lights ?
    MOT*MOT: two street lights ?
    CHIyou (sup)posed to put dese two stree(t) lights like dis .
    MOTlike that ?
  2. eng_USA_Brown/adam28.cha, line 1919 · Adam, 3;4.01
    MOTwhoops .
    CHIwhat we can hang it on ?
    MOT*MOT: maybe we can attach it to two chairs .
    MOTshall I tie it from here to here .
    CHIhere to here ?
  3. eng_USA_Brown/adam28.cha, line 2015 · Adam, 3;4.01
    MOToh # that's the kitchen .
    CHIan(d) dat's a kitchen .
    MOT*MOT: you have two kitchens .
    CHIyeah .
    MOTwhy d(o) you have two ?
  4. eng_USA_Brown/adam28.cha, line 2019 · Adam, 3;4.01
    MOTyou have two kitchens .
    CHIyeah .
    MOT*MOT: why d(o) you have two ?
    CHIbecause dat is # living room +...
    CHIwe eat # xxx .
  5. eng_USA_Brown/adam28.cha, line 2560 · Adam, 3;4.01
    MOTwhat ?
    CHIdo you have some more forks ?
    MOT*MOT: here are two .
    MOTI see another one .
    CHIwhere you see another one ?
  6. eng_USA_Brown/adam28.cha, line 2719 · Adam, 3;4.01
    CHIdo you have two of dem ?
    CHIjust alike ?
    MOT*MOT: those two are just alike .
    CHIdose xxx roller .
    CHII better turn dat light on so Paul won't wake up .

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. Adam eng_USA_Brown2.51
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/adam28.chaAdam 3;4.012,387662.51

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. two6 · 100.0%