PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

3.89 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (272 utterances, 1,027 words searched).

  1. whole one what ? MOT · eng_USA_Brown/sarah034.cha, line 77 · Sarah 2;10
  2. whole one what ? MOT · eng_USA_Brown/sarah034.cha, line 82 · Sarah 2;10
  3. whole one what ? MOT · eng_USA_Brown/sarah034.cha, line 86 · Sarah 2;10
  4. what's a whole one ? MOT · eng_USA_Brown/sarah034.cha, line 88 · Sarah 2;10
  1. eng_USA_Brown/sarah034.cha, line 77 · Sarah, 2;10.20
    CHII have little one .
    CHIxxx I want whole one .
    MOT*MOT: whole one what ?
    CHII say whole ?
    MOTwhole one what ?
  2. eng_USA_Brown/sarah034.cha, line 82 · Sarah, 2;10.20
    MOTwhole one what ?
    CHII say whole ?
    MOT*MOT: whole one what ?
    CHII have whole one .
    MOTwhole one what ?
  3. eng_USA_Brown/sarah034.cha, line 86 · Sarah, 2;10.20
    MOTwhole one what ?
    CHII have whole one .
    MOT*MOT: whole one what ?
    MOTwhat's a whole one ?
    CHIa whole xxx .
  4. eng_USA_Brown/sarah034.cha, line 88 · Sarah, 2;10.20
    CHII have whole one .
    MOTwhole one what ?
    MOT*MOT: what's a whole one ?
    CHIa whole xxx .
    CHII <have xxx> [//] have dat . [+ bch]

Matches by age

One dot per transcript: matches per 1,000 words of everyone but 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_Brown3.89
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah034.chaSarah 2;10.201,027443.89

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. whole4 · 100.0%