PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

2.13 per 1,000 words of the child (CHI), in 1 of 1 transcripts (671 utterances, 2,813 words searched).

  1. and he writing what else you need . CHI · eng_USA_Brown/adam40.cha, line 665 · Adam 3;11
  2. why he's writing what else we need ? CHI · eng_USA_Brown/adam40.cha, line 744 · Adam 3;11
  3. what else we need ? CHI · eng_USA_Brown/adam40.cha, line 749 · Adam 3;11
  4. what else we need # please ? CHI · eng_USA_Brown/adam40.cha, line 751 · Adam 3;11
  5. let's have something else . CHI · eng_USA_Brown/adam40.cha, line 1321 · Adam 3;11
  6. let's have something else . CHI · eng_USA_Brown/adam40.cha, line 1326 · Adam 3;11
  1. eng_USA_Brown/adam40.cha, line 665 · Adam, 3;11.01
    MOTyes # he's serving it .
    MOThe's bringing it out and putting it on the table .
    CHI*CHI: and he writing what else you need .
    MOTthat's right .
    MOThe's writing your order down with it .
  2. eng_USA_Brown/adam40.cha, line 744 · Adam, 3;11.01
    CHIxxx is a reindeer .
    CHIand a bunny .
    CHI*CHI: why he's writing what else we need ?
    MOTso that he won't forget .
    CHIwhat else we need ?
  3. eng_USA_Brown/adam40.cha, line 749 · Adam, 3;11.01
    CHIwhy he's writing what else we need ?
    MOTso that he won't forget .
    CHI*CHI: what else we need ?
    CHIwhat else we need # please ?
    MOTdo you know the name of that restaurant ?
  4. eng_USA_Brown/adam40.cha, line 751 · Adam, 3;11.01
    MOTso that he won't forget .
    CHIwhat else we need ?
    CHI*CHI: what else we need # please ?
    MOTdo you know the name of that restaurant ?
    CHIno .
  5. eng_USA_Brown/adam40.cha, line 1321 · Adam, 3;11.01
    MOTkangaroo .
    CHIkangaroo .
    CHI*CHI: let's have something else .
    MOTthat's a nice book # isn't it ?
    CHIlet's have something else .
  6. eng_USA_Brown/adam40.cha, line 1326 · Adam, 3;11.01
    CHIlet's have something else .
    MOTthat's a nice book # isn't it ?
    CHI*CHI: let's have something else .
    CHIhow (a)bout cutting dese out ?
    CHIwe said +...

Matches by age

One dot per transcript: matches per 1,000 words of the child (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_Brown2.13
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/adam40.chaAdam 3;11.012,813662.13

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. else6 · 100.0%