PHPCLANCHILDES with regular expressions

9 matches in 9 utterances

22.61 per 1,000 words of the child (CHI), in 1 of 1 transcripts (283 utterances, 398 words searched).

  1. her fix my ice+cream . CHI · eng_USA_Brown/sarah029.cha, line 93 · Sarah 2;09
  2. my shovel . CHI · eng_USA_Brown/sarah029.cha, line 294 · Sarah 2;09
  3. fix my swing . CHI · eng_USA_Brown/sarah029.cha, line 842 · Sarah 2;09
  4. oh my . CHI · eng_USA_Brown/sarah029.cha, line 966 · Sarah 2;09
  5. xxx # xxx my xxx . CHI · eng_USA_Brown/sarah029.cha, line 971 · Sarah 2;09
  6. ow # my finger xxx . CHI · eng_USA_Brown/sarah029.cha, line 978 · Sarah 2;09
  7. who got my baby ? CHI · eng_USA_Brown/sarah029.cha, line 1287 · Sarah 2;09
  8. my baby . CHI · eng_USA_Brown/sarah029.cha, line 1291 · Sarah 2;09
  9. my (a)n(d) may see her . CHI · eng_USA_Brown/sarah029.cha, line 1295 · Sarah 2;09
  1. MOT0 .
    GLOwhat's Mummy doing ?
    CHI*CHI: her fix my ice+cream .
    GLOwhat's she doing ?
    CHIice+cream .
  2. CHI0 .
    FATwhy ?
    CHI*CHI: my shovel .
    FATwell # can't you let me use it ?
    CHI0 .
  3. CHIchipees@c .
    FAThey # say # fix my swing .
    CHI*CHI: fix my swing .
    FATthat's a hard one # huh .
    CHIuh !
  4. FATafter you get dirty ?
    CHIno .
    CHI*CHI: oh my .
    CHII show you .
    CHIxxx # xxx my xxx .
  5. CHIoh my .
    CHII show you .
    CHI*CHI: xxx # xxx my xxx .
    MOTxxx .
    MOTgonna get a new pair # huh ?
  6. MOTxxx .
    MOTgonna get a new pair # huh ?
    CHI*CHI: ow # my finger xxx .
    MOToh dear # tsk [/] tsk .
    CHIxxx .
  7. FATtwo books .
    FATgot a million books .
    CHI*CHI: who got my baby ?
    FATwhat baby ?
    CHImy baby .
  8. CHIwho got my baby ?
    FATwhat baby ?
    CHI*CHI: my baby .
    FATwhere ?
    CHImy (a)n(d) may see her .
  9. CHImy baby .
    FATwhere ?
    CHI*CHI: my (a)n(d) may see her .
    FATwhich baby ?
    CHII see her .

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_Brown22.61
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah029.chaSarah 2;9.143989922.61

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. my9 · 100.0%