PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

2.33 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (355 utterances, 1,717 words searched).

  1. Carol . MOT · eng_USA_Brown/sarah122.cha, line 1052 · Sarah 4;08
  2. …fter she started to talk # instead of calling me Mama # she'd call me Carol . MOT · eng_USA_Brown/sarah122.cha, line 1298 · Sarah 4;08
  3. she'd get down in the backyard # Carol . MOT · eng_USA_Brown/sarah122.cha, line 1302 · Sarah 4;08
  4. Carol . MOT · eng_USA_Brown/sarah122.cha, line 1308 · Sarah 4;08
  1. MOThe was baby+sittin(g) last night # so usually they both go to bed at the same time .
    MOThello # Donna ?
    MOT*MOT: Carol .
    CHIyou show her up # huh ?
    GAIwhat ?
  2. MOTwhat's my name ?
    CHIhi # Carol .
    MOT*MOT: when she was little # just after she started to talk # instead of calling me Mama # she'd call me Carol .
    MOTshe'd get down in the backyard # Carol .
    MOTeverybody used to go into hysterics laughin(g) .
  3. CHIhi # Carol .
    MOTwhen she was little # just after she started to talk # instead of calling me Mama # she'd call me Carol .
    MOT*MOT: she'd get down in the backyard # Carol .
    MOTeverybody used to go into hysterics laughin(g) .
    MOTCarol .
  4. MOTshe'd get down in the backyard # Carol .
    MOTeverybody used to go into hysterics laughin(g) .
    MOT*MOT: Carol .
    MELyou're gonna pull his tail off in a minute .
    MOTtake it easy .

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_Brown2.33
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah122.chaSarah 4;8.201,717442.33

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. carol4 · 100.0%