PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

6.14 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (246 utterances, 977 words searched).

  1. watch out where you're going . MOT · eng_USA_Brown/sarah041.cha, line 369 · Sarah 3;00
  2. where'd you get this sweater ? MOT · eng_USA_Brown/sarah041.cha, line 379 · Sarah 3;00
  3. where'd you get this sweater ? MOT · eng_USA_Brown/sarah041.cha, line 383 · Sarah 3;00
  4. where ? MOT · eng_USA_Brown/sarah041.cha, line 730 · Sarah 3;00
  5. wanna go where ? MOT · eng_USA_Brown/sarah041.cha, line 763 · Sarah 3;00
  6. where's what ? MOT · eng_USA_Brown/sarah041.cha, line 1054 · Sarah 3;00
  1. eng_USA_Brown/sarah041.cha, line 369 · Sarah, 3;0.18
    MOTpick it up .
    MOToff the ground .
    MOT*MOT: watch out where you're going .
    MOTturn around .
    MOTwant to get dressed here ?
  2. eng_USA_Brown/sarah041.cha, line 379 · Sarah, 3;0.18
    CHIyeah .
    CHII want a my [/] # my sweater on .
    MOT*MOT: where'd you get this sweater ?
    CHIhuh ?
    MOTwhere'd you get this sweater ?
  3. eng_USA_Brown/sarah041.cha, line 383 · Sarah, 3;0.18
    MOTwhere'd you get this sweater ?
    CHIhuh ?
    MOT*MOT: where'd you get this sweater ?
    CHIum # <up a> [/] # up a beach ?
    MOTno # you didn't .
  4. eng_USA_Brown/sarah041.cha, line 730 · Sarah, 3;0.18
    CHIsweeps .
    CHIdere's my baton # Mummy .
    MOT*MOT: where ?
    CHIdere's my baton .
    MOTwell # how'd you find that ?
  5. eng_USA_Brown/sarah041.cha, line 763 · Sarah, 3;0.18
    MOTwell you won't be wearing them anyway very much longer .
    CHII want go march my baton # Mummy .
    MOT*MOT: wanna go where ?
    CHIwant xxx my baton .
    MOTwhen you go to your dancing school ?
  6. eng_USA_Brown/sarah041.cha, line 1054 · Sarah, 3;0.18
    CHIwhere's a top ?
    CHIdis come off ?
    MOT*MOT: where's what ?
    CHIhuh ?
    CHIxxx ?

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_Brown6.14
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah041.chaSarah 3;0.18977666.14

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. where6 · 100.0%