PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

2.27 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (645 utterances, 2,640 words searched).

  1. why don't we put the cards on the box ? ROG · eng_USA_Brown/sarah077.cha, line 233 · Sarah 3;09
  2. there we are . ROG · eng_USA_Brown/sarah077.cha, line 313 · Sarah 3;09
  3. now what do we have here ? ROG · eng_USA_Brown/sarah077.cha, line 1168 · Sarah 3;09
  4. what do we have here ? ROG · eng_USA_Brown/sarah077.cha, line 1239 · Sarah 3;09
  5. I think we have a new law of child thought . ROG · eng_USA_Brown/sarah077.cha, line 1249 · Sarah 3;09
  6. we don't have any sugar+babies . MOT · eng_USA_Brown/sarah077.cha, line 1756 · Sarah 3;09
  1. eng_USA_Brown/sarah077.cha, line 233 · Sarah, 3;9.18
    CHIbox .
    MOTa box .
    ROG*ROG: why don't we put the cards on the box ?
    ROGcan you do that ?
    CHI0 .
  2. eng_USA_Brown/sarah077.cha, line 313 · Sarah, 3;9.18
    MOTwant to sit ?
    MOTwhy don't you sit up ?
    ROG*ROG: there we are .
    ROGoh # show me the girl with the blue hat .
    CHI0 .
  3. eng_USA_Brown/sarah077.cha, line 1168 · Sarah, 3;9.18
    ROGthey quite freely will point to the same one for # for both or to both at once or anything like that .
    ROGso you don't get that concept of of mutual exclusivity .
    ROG*ROG: now what do we have here ?
    CHItruck .
    ROGtruck .
  4. eng_USA_Brown/sarah077.cha, line 1239 · Sarah, 3;9.18
    ROGok .
    ROGnow let's see .
    ROG*ROG: what do we have here ?
    CHIdoggie .
    ROGwell xxx girls # there .
  5. eng_USA_Brown/sarah077.cha, line 1249 · Sarah, 3;9.18
    ROGwell xxx girls # there .
    ROGwhat are these ?
    ROG*ROG: I think we have a new law of child thought .
    ROGanything is more important than human beings .
    ROGwhat are these ?
  6. eng_USA_Brown/sarah077.cha, line 1756 · Sarah, 3;9.18
    MOTare you sure you don't mean sugar+babies ?
    CHII want sugar+babies .
    MOT*MOT: we don't have any sugar+babies .
    CHIwell # I want some at the store .
    MOTthe store's closed .

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_Brown2.27
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah077.chaSarah 3;9.182,640662.27

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. we6 · 100.0%