PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

2.92 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (324 utterances, 1,368 words searched).

  1. he had a ball with her . MOT · eng_USA_Brown/sarah057.cha, line 355 · Sarah 3;04
  2. is he up on your lap ? MOT · eng_USA_Brown/sarah057.cha, line 359 · Sarah 3;04
  3. he does . MOT · eng_USA_Brown/sarah057.cha, line 371 · Sarah 3;04
  4. yeah # there he is # right there . MOT · eng_USA_Brown/sarah057.cha, line 601 · Sarah 3;04
  1. eng_USA_Brown/sarah057.cha, line 355 · Sarah, 3;4.09
    MOTdid Chantilly have a party ?
    CHIhe have a ball # wi(th) me .
    MOT*MOT: he had a ball with her .
    MOTChantilly .
    MOTis he up on your lap ?
  2. eng_USA_Brown/sarah057.cha, line 359 · Sarah, 3;4.09
    MOThe had a ball with her .
    MOTChantilly .
    MOT*MOT: is he up on your lap ?
    MOTno # just two paws .
    CHIuh [/] uh .
  3. eng_USA_Brown/sarah057.cha, line 371 · Sarah, 3;4.09
    CHIuh [/] uh .
    CHIhe likes me .
    MOT*MOT: he does .
    CHIhe [/] # he nose is cold .
    MOThis nose is cold ?
  4. eng_USA_Brown/sarah057.cha, line 601 · Sarah, 3;4.09
    MOThow (a)bout that ?
    CHIthere's a eye .
    MOT*MOT: yeah # there he is # right there .
    MOTxxx made a frog .
    CHIyyy .

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_Brown2.92
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah057.chaSarah 3;4.091,368442.92

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. he4 · 100.0%