PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

3.42 per 1,000 words of the child (CHI), in 1 of 1 transcripts (254 utterances, 878 words searched).

  1. how_come the man gave you a broken machine ? CHI · eng_USA_Brown/sarah137.cha, line 293 · Sarah 5;00
  2. how_come it's on your desk ? CHI · eng_USA_Brown/sarah137.cha, line 626 · Sarah 5;00
  3. how_come ? CHI · eng_USA_Brown/sarah137.cha, line 630 · Sarah 5;00
  1. eng_USA_Brown/sarah137.cha, line 293 · Sarah, 5;0.25
    CHIwhy ?
    GAII have no idea .
    CHI*CHI: how_come the man gave you a broken machine ?
    GAIoh # it must have been good a long time ago .
    MOTit hasn't been good for the last two years .
  2. eng_USA_Brown/sarah137.cha, line 626 · Sarah, 5;0.25
    CHIdo you ever use dat ?
    GAIit's in my desk .
    CHI*CHI: how_come it's on your desk ?
    GAII use it when I work at home .
    CHIhow_come ?
  3. eng_USA_Brown/sarah137.cha, line 630 · Sarah, 5;0.25
    CHIhow_come it's on your desk ?
    GAII use it when I work at home .
    CHI*CHI: how_come ?
    GAIyou know you have a memory like an elephant .
    MOTuntil she goes to school .

Matches by age

One dot per transcript: matches per 1,000 words of the child (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_Brown3.42
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah137.chaSarah 5;0.25878333.42

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%