PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

9.35 per 1,000 words of the child (CHI), in 1 of 1 transcripts (374 utterances, 642 words searched).

  1. <one two three four> [=! counting] . [+ bch] CHI · eng_USA_Brown/sarah021.cha, line 643 · Sarah 2;07
  2. one two three four . CHI · eng_USA_Brown/sarah021.cha, line 1048 · Sarah 2;07
  3. <one two three four> [=! counting] . [+ bch] CHI · eng_USA_Brown/sarah021.cha, line 1472 · Sarah 2;07
  4. <one two three four> [=! counting] . [+ bch] CHI · eng_USA_Brown/sarah021.cha, line 1498 · Sarah 2;07
  5. <one two three four> [=! counting] . [+ bch] CHI · eng_USA_Brown/sarah021.cha, line 1500 · Sarah 2;07
  6. <one two three four # five> [=! counting] . [+ bch] CHI · eng_USA_Brown/sarah021.cha, line 1506 · Sarah 2;07
  1. FATHuckleberry's got apples ?
    CHItwo !
    CHI*CHI: <one two three four> [=! counting] . [+ bch]
    CHIbok@c .
    FATwhat's a Pixie ?
  2. CHIxxx .
    FATwhat did you write on her for ?
    CHI*CHI: one two three four .
    FATwhere's her dress ?
    CHIno know .
  3. CHIxxx two ears .
    FAThow many fingers have I got ?
    CHI*CHI: <one two three four> [=! counting] . [+ bch]
    FATno # how many fingers all together ?
    CHIwhat happen .
  4. FATall right # that's good .
    FAThow many fingers have I got all together ?
    CHI*CHI: <one two three four> [=! counting] . [+ bch]
    CHI<one two three four> [=! counting] . [+ bch]
    CHIdat hand ?
  5. FAThow many fingers have I got all together ?
    CHI<one two three four> [=! counting] . [+ bch]
    CHI*CHI: <one two three four> [=! counting] . [+ bch]
    CHIdat hand ?
    FATone two three four five .
  6. CHIdat hand ?
    FATone two three four five .
    CHI*CHI: <one two three four # five> [=! counting] . [+ bch]
    FATwhat comes after five ?
    CHIoh !

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_Brown9.35
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah021.chaSarah 2;7.12642669.35

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. four6 · 100.0%