PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

8.15 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (118 utterances, 368 words searched).

  1. get out of the orange+juice . MOT · eng_USA_Brown/sarah019.cha, line 245 · Sarah 2;06
  2. what're you goin(g) to get ? MOT · eng_USA_Brown/sarah019.cha, line 428 · Sarah 2;06
  3. what're you goin(g) to get at the store ? MOT · eng_USA_Brown/sarah019.cha, line 430 · Sarah 2;06
  1. eng_USA_Brown/sarah019.cha, line 245 · Sarah, 2;6.30
    MOTMichael !
    MOTc(o)me (h)ere !
    MOT*MOT: get out of the orange+juice .
    ANNhi Dada .
    CHIhi Dada where Tickles ?
  2. eng_USA_Brown/sarah019.cha, line 428 · Sarah, 2;6.30
    MOTno # no money .
    CHIno mo(ne)y [?] .
    MOT*MOT: what're you goin(g) to get ?
    MOTwhat're you goin(g) to get at the store ?
    CHImilk .
  3. eng_USA_Brown/sarah019.cha, line 430 · Sarah, 2;6.30
    CHIno mo(ne)y [?] .
    MOTwhat're you goin(g) to get ?
    MOT*MOT: what're you goin(g) to get at the store ?
    CHImilk .
    MOTmilk ?

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_Brown8.15
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah019.chaSarah 2;6.30368338.15

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. get3 · 100.0%