PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

3.48 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (258 utterances, 1,148 words searched).

  1. where am I goin(g) ? MOT · eng_USA_Brown/sarah137.cha, line 185 · Sarah 5;00
  2. so you'll know where to put the x@l and the o@l . MOT · eng_USA_Brown/sarah137.cha, line 427 · Sarah 5;00
  3. where do you want me to go ? GAI · eng_USA_Brown/sarah137.cha, line 659 · Sarah 5;00
  4. where did you hear that name ? GAI · eng_USA_Brown/sarah137.cha, line 1107 · Sarah 5;00
  1. eng_USA_Brown/sarah137.cha, line 185 · Sarah, 5;0.25
    MOTI am .
    CHIwhere are you ?
    MOT*MOT: where am I goin(g) ?
    CHIyeah .
    MOTI'm goin(g) to see South Pacific .
  2. eng_USA_Brown/sarah137.cha, line 427 · Sarah, 5;0.25
    CHIlike dat # Mama .
    MOTyou'll have to make it a little bigger than that .
    MOT*MOT: so you'll know where to put the x@l and the o@l .
    CHIok # now do it .
    CHIfirst .
  3. eng_USA_Brown/sarah137.cha, line 659 · Sarah, 5;0.25
    MOTeverything is why .
    CHIoh your turn .
    GAI*GAI: where do you want me to go ?
    CHIsomewhere .
    CHInot right here .
  4. eng_USA_Brown/sarah137.cha, line 1107 · Sarah, 5;0.25
    MOTBowie ?
    CHIyup .
    GAI*GAI: where did you hear that name ?
    CHInow two in the middle .
    CHIgot one on top .

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_Brown3.48
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah137.chaSarah 5;0.251,148443.48

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. where4 · 100.0%