PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

9.04 per 1,000 words of the child (CHI), in 1 of 1 transcripts (280 utterances, 553 words searched).

  1. who is it # a Kenny ? CHI · eng_USA_Brown/sarah045.cha, line 918 · Sarah 3;01
  2. Kenny . CHI · eng_USA_Brown/sarah045.cha, line 922 · Sarah 3;01
  3. Kenny . CHI · eng_USA_Brown/sarah045.cha, line 926 · Sarah 3;01
  4. Kenny . CHI · eng_USA_Brown/sarah045.cha, line 1171 · Sarah 3;01
  5. Kenny . CHI · eng_USA_Brown/sarah045.cha, line 1199 · Sarah 3;01
  1. MOTI see her .
    CHIDonna .
    CHI*CHI: who is it # a Kenny ?
    MOTwho ?
    CHIKenny .
  2. CHIwho is it # a Kenny ?
    MOTwho ?
    CHI*CHI: Kenny .
    MOTwho ?
    CHIKenny .
  3. CHIKenny .
    MOTwho ?
    CHI*CHI: Kenny .
    MOTKenny's down at the beach .
    CHIhow # (h)e gone ?
  4. CHIshika_burds@wp .
    CHIKent huh ?
    CHI*CHI: Kenny .
    MOTKent # that's right .
    KENuh .
  5. MOT+" oh # I think Kenny .
    MOTshe has a friend name Kenny down at the beach # (be)cause she xxx callin(g) you Kenny .
    CHI*CHI: Kenny .
    MOTthat was my daddy's name .
    CHIno .

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_Brown9.04
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah045.chaSarah 3;1.17553559.04

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. kenny5 · 100.0%