PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

8.63 per 1,000 words of the child (CHI), in 1 of 1 transcripts (266 utterances, 927 words searched).

  1. like that # lines . CHI · eng_USA_Brown/sarah109.cha, line 44 · Sarah 4;05
  2. a cherry's like this . CHI · eng_USA_Brown/sarah109.cha, line 432 · Sarah 4;05
  3. like that # see ? CHI · eng_USA_Brown/sarah109.cha, line 435 · Sarah 4;05
  4. like that # see ? CHI · eng_USA_Brown/sarah109.cha, line 519 · Sarah 4;05
  5. like dis ? CHI · eng_USA_Brown/sarah109.cha, line 742 · Sarah 4;05
  6. yeah # but I don't (sup)posed to be like that . CHI · eng_USA_Brown/sarah109.cha, line 974 · Sarah 4;05
  7. <I won't get it out like> [//] I can't get it out now # huh ? CHI · eng_USA_Brown/sarah109.cha, line 1125 · Sarah 4;05
  8. like mine # see ? CHI · eng_USA_Brown/sarah109.cha, line 1236 · Sarah 4;05
  1. GAIwhat ?
    CHIthings around it .
    CHI*CHI: like that # lines .
    CHIblack lines .
    MOTthat's how you can tell a tiger (be)cause he's got black lines ?
  2. CHIa apple .
    GAIoh .
    CHI*CHI: a cherry's like this .
    CHIlike that # see ?
    GAIoh .
  3. GAIoh .
    CHIa cherry's like this .
    CHI*CHI: like that # see ?
    GAIoh .
    CHIit has bees in it .
  4. CHIwait a minute .
    CHIthat's how you make a box .
    CHI*CHI: like that # see ?
    MELyeah # that's good .
    CHI0 .
  5. CHIthat's how ya make a poodle .
    GAIwhere did ya see a poodle ?
    CHI*CHI: like dis ?
    MOTwho had a poodle ?
    CHIChips .
  6. MELwhat if you had your nose down here ?
    MOTyou think you'd look kind o(f) silly ?
    CHI*CHI: yeah # but I don't (sup)posed to be like that .
    MOTSarah # Sarah don't scream .
    MELbetter watch out for that # Gail .
  7. CHII could get it out .
    MELyou're a magician .
    CHI*CHI: <I won't get it out like> [//] I can't get it out now # huh ?
    MELcan't you ?
    CHII can't get it out now .
  8. CHIwhat ?
    CHIyou have one # big fingernails .
    CHI*CHI: like mine # see ?
    CHImine way way up here .
    MELare yours big ?

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_Brown8.63
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah109.chaSarah 4;5.14927888.63

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. like8 · 100.0%