PHPCLANCHILDES with regular expressions

9 matches in 7 utterances

2.79 per 1,000 words of the child (CHI), in 1 of 1 transcripts (769 utterances, 3,231 words searched).

  1. watch him roll . CHI · eng_USA_Brown/adam38.cha, line 410 · Adam 3;09
  2. Mommy # watch me run in dose . CHI · eng_USA_Brown/adam38.cha, line 599 · Adam 3;09
  3. Mommy # watch me run in dat place fast . CHI · eng_USA_Brown/adam38.cha, line 601 · Adam 3;09
  4. watch . CHI · eng_USA_Brown/adam38.cha, line 1066 · Adam 3;09
  5. watch me juggle . CHI · eng_USA_Brown/adam38.cha, line 1072 · Adam 3;09
  6. watch . CHI · eng_USA_Brown/adam38.cha, line 1271 · Adam 3;09
  7. watch watch watch . CHI · eng_USA_Brown/adam38.cha, line 1346 · Adam 3;09
  8. watch watch watch . CHI · eng_USA_Brown/adam38.cha, line 1346 · Adam 3;09
  9. watch watch watch . CHI · eng_USA_Brown/adam38.cha, line 1346 · Adam 3;09
  1. MOTa wheelbarrow horse .
    CHIyeah .
    CHI*CHI: watch him roll .
    MOTwould you find that horse in a special place ?
    CHImmhm .
  2. MOTwhat ?
    CHIhere comes me running home .
    CHI*CHI: Mommy # watch me run in dose .
    CHIMommy # watch me run in dat place fast .
    MOTok .
  3. CHIhere comes me running home .
    CHIMommy # watch me run in dose .
    CHI*CHI: Mommy # watch me run in dat place fast .
    MOTok .
    CHIready !
  4. CHII missed too .
    CHIdis is yours .
    CHI*CHI: watch .
    MOTyou throw first .
    CHIbut I throw .
  5. MOTyou throw first .
    CHIbut I throw .
    CHI*CHI: watch me juggle .
    CHII keep juggling .
    CHIdat's a good one .
  6. MOTa bullet gun ?
    MOTwhat does a bullet gun do ?
    CHI*CHI: watch .
    CHIpow !
    CHIpow !
  7. CHIyeah .
    CHIMommy # look .
    CHI*CHI: watch watch watch .
    CHIsee .
    MOTwhat happened ?

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. Adam eng_USA_Brown2.79
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/adam38.chaAdam 3;9.163,231792.79

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. watch9 · 100.0%