PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

3.67 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (323 utterances, 1,363 words searched).

  1. now you'll have to go over here to finish it . MEL · eng_USA_Brown/sarah109.cha, line 262 · Sarah 4;05
  2. why do you always have to take that out ? MOT · eng_USA_Brown/sarah109.cha, line 345 · Sarah 4;05
  3. does it have a ribbon on it ? MEL · eng_USA_Brown/sarah109.cha, line 526 · Sarah 4;05
  4. doesn't Ann_Marie have a poodle ? MEL · eng_USA_Brown/sarah109.cha, line 786 · Sarah 4;05
  5. how many legs does he have ? MEL · eng_USA_Brown/sarah109.cha, line 857 · Sarah 4;05
  1. MELmake a line .
    MELthat's right .
    MEL*MEL: now you'll have to go over here to finish it .
    MELs@l .
    CHII can make s@l .
  2. MELbefore she uses this one all up ?
    CHII can get this out .
    MOT*MOT: why do you always have to take that out ?
    CHII wanna show it Daddy .
    CHIoh .
  3. MELyeah # that's good .
    CHI0 .
    MEL*MEL: does it have a ribbon on it ?
    MOTthat's not bad .
    MOToh Sarah Marie .
  4. MOTtiger .
    CHItiger .
    MEL*MEL: doesn't Ann_Marie have a poodle ?
    CHIyes .
    MOTwhat's his name ?
  5. CHI0 .
    MELoh .
    MEL*MEL: how many legs does he have ?
    CHIum # many as raccoons .
    MELwhat ?

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. Sarah eng_USA_Brown3.67
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah109.chaSarah 4;5.141,363553.67

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. have5 · 100.0%