PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

2.75 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (939 utterances, 2,180 words searched).

  1. Bobo@f . SAR · eng_USA_Brown/sarah018.cha, line 526
  2. Bobo@f clown . SAR · eng_USA_Brown/sarah018.cha, line 530
  3. Bobo@f clown . SAR · eng_USA_Brown/sarah018.cha, line 534
  4. Bobo@f clown . SAR · eng_USA_Brown/sarah018.cha, line 538
  5. Bobo@f clown . SAR · eng_USA_Brown/sarah018.cha, line 542
  6. yy Bobo@f xx clown . SAR · eng_USA_Brown/sarah018.cha, line 546
  1. SARxx .
    FATwhat's his name ?
    SAR*SAR: Bobo@f .
    SARBobo@f clown .
    SARBobo@f clown .
  2. FATwhat's his name ?
    SARBobo@f .
    SAR*SAR: Bobo@f clown .
    SARBobo@f clown .
    SARBobo@f clown .
  3. SARBobo@f .
    SARBobo@f clown .
    SAR*SAR: Bobo@f clown .
    SARBobo@f clown .
    SARBobo@f clown .
  4. SARBobo@f clown .
    SARBobo@f clown .
    SAR*SAR: Bobo@f clown .
    SARBobo@f clown .
    SARyy Bobo@f xx clown .
  5. SARBobo@f clown .
    SARBobo@f clown .
    SAR*SAR: Bobo@f clown .
    SARyy Bobo@f xx clown .
    FATwhat do you call this ?
  6. SARBobo@f clown .
    SARBobo@f clown .
    SAR*SAR: yy Bobo@f xx clown .
    FATwhat do you call this ?
    SARyy .

Matches by child

Matches per 1,000 words, all transcripts of each child together, highest first.

  1. Sarah eng_USA_Brown2.75
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah018.chaSarah 2,180662.75

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. bobo6 · 100.0%