PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

2.74 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (319 utterances, 1,095 words searched).

  1. gonna land right in my lap . MOT · eng_USA_Brown/sarah036.cha, line 486 · Sarah 2;11
  2. I jumped up because it almost landed in my lap . MOT · eng_USA_Brown/sarah036.cha, line 535 · Sarah 2;11
  3. or Gloria # I mean Courtney'll get it in her lap . MOT · eng_USA_Brown/sarah036.cha, line 627 · Sarah 2;11
  1. eng_USA_Brown/sarah036.cha, line 486 · Sarah, 2;11.02
    CHIxxx .
    CHIxxx # I get more my hair .
    MOT*MOT: gonna land right in my lap .
    MOTwhee !
    CHIa water .
  2. eng_USA_Brown/sarah036.cha, line 535 · Sarah, 2;11.02
    MOT0 .
    CHIwhat you doing ?
    MOT*MOT: I jumped up because it almost landed in my lap .
    MOTyou know that .
    MOTyou know that .
  3. eng_USA_Brown/sarah036.cha, line 627 · Sarah, 2;11.02
    CHIyeah .
    MOTeasy # when you swing it around .
    MOT*MOT: or Gloria # I mean Courtney'll get it in her lap .
    MOTxxx .
    MOThow's that ?

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_Brown2.74
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah036.chaSarah 2;11.021,095332.74

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. lap3 · 100.0%