PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

2.54 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (247 utterances, 1,182 words searched).

  1. how_come this is ? MOT · eng_USA_Brown/sarah088.cha, line 166 · Sarah 4;00
  2. how_come I always end up with this job ? MOT · eng_USA_Brown/sarah088.cha, line 920 · Sarah 4;00
  3. how_come ? MOT · eng_USA_Brown/sarah088.cha, line 1252 · Sarah 4;00
  1. eng_USA_Brown/sarah088.cha, line 166 · Sarah, 4;0.14
    FATdoes your tummy have holes in it like that ?
    CHIno .
    MOT*MOT: how_come this is ?
    CHIxxx .
    CHIher stomach see .
  2. eng_USA_Brown/sarah088.cha, line 920 · Sarah, 4;0.14
    MOTshe needs a good # Ajax bath .
    CHIMommy # Mommy # put them .
    MOT*MOT: how_come I always end up with this job ?
    MOTyou're supposed to have this job .
    MOTthere now finish up .
  3. eng_USA_Brown/sarah088.cha, line 1252 · Sarah, 4;0.14
    FATyou like it short like that # Sarah ?
    CHIyeah .
    MOT*MOT: how_come ?
    CHI(be)cause # I like to push # xxx .
    MOTdon't do that .

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_Brown2.54
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah088.chaSarah 4;0.141,182332.54

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. how_come3 · 100.0%