PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

4.18 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (265 utterances, 956 words searched).

  1. glad to be home today ? MOT · eng_USA_Brown/sarah089.cha, line 130 · Sarah 4;00
  2. what flavor is that going to be ? FAT · eng_USA_Brown/sarah089.cha, line 180 · Sarah 4;00
  3. xxx be your age . MOT · eng_USA_Brown/sarah089.cha, line 205 · Sarah 4;00
  4. would you be afraid ? FAT · eng_USA_Brown/sarah089.cha, line 461 · Sarah 4;00
  1. eng_USA_Brown/sarah089.cha, line 130 · Sarah, 4;0.28
    MOThow_come you're not cryin(g) today ?
    MOTyou've been cryin(g) every day .
    MOT*MOT: glad to be home today ?
    CHIum # yeah .
    CHIum # um +...
  2. eng_USA_Brown/sarah089.cha, line 180 · Sarah, 4;0.28
    MOTlooks more like a pie # than a cake .
    CHIsee # that's how you make a cake .
    FAT*FAT: what flavor is that going to be ?
    CHII take big pieces .
    CHItake big +...
  3. eng_USA_Brown/sarah089.cha, line 205 · Sarah, 4;0.28
    MOTtwo new little girls .
    MOTdid you know that ?
    MOT*MOT: xxx be your age .
    MOT<Martha xxx> [?] .
    CHI<that same thing as me> [?] ?
  4. eng_USA_Brown/sarah089.cha, line 461 · Sarah, 4;0.28
    MOTwhat happens if he come alive ?
    FATwhat happens if he come alive ?
    FAT*FAT: would you be afraid ?
    CHIyeah .
    MELhuh ?

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_Brown4.18
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah089.chaSarah 4;0.28956444.18

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. be4 · 100.0%