PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

2.75 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (342 utterances, 1,452 words searched).

  1. Henry bear . MOT · eng_british_Manchester_II/john14a.cha, line 152 · John 2;03
  2. you can count with Henry bear . MOT · eng_british_Manchester_II/john14a.cha, line 154 · John 2;03
  3. you show Henry bear how well you can do it . MOT · eng_british_Manchester_II/john14a.cha, line 158 · John 2;03
  4. perhaps you can put it in Henry . MOT · eng_british_Manchester_II/john14a.cha, line 366 · John 2;03
  1. MOTcan you count your money again ?
    MOTlook .
    MOT*MOT: Henry bear .
    MOTyou can count with Henry bear .
    MOTlet's count your money in here .
  2. MOTlook .
    MOTHenry bear .
    MOT*MOT: you can count with Henry bear .
    MOTlet's count your money in here .
    MOTyou show Henry bear how well you can do it .
  3. MOTyou can count with Henry bear .
    MOTlet's count your money in here .
    MOT*MOT: you show Henry bear how well you can do it .
    MOTlook .
    MOTwe can do the letters .
  4. CHIit's money .
    MOTstill got money .
    MOT*MOT: perhaps you can put it in Henry .
    CHIoh .
    CHIchange nappy Henry .

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. John eng_british_Manchester_II2.75
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/john14a.chaJohn 2;3.261,452442.75

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. henry4 · 100.0%