PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

2.37 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (309 utterances, 1,264 words searched).

  1. why can't you have nice curls . MOT · eng_USA_Brown/sarah009.cha, line 833 · Sarah 2;04
  2. why can't you have nice curls . MOT · eng_USA_Brown/sarah009.cha, line 839 · Sarah 2;04
  3. …don't know # I want it to grow long and then I [/] I want her to have curls and then I want it to be short # I don't know what I want . MOT · eng_USA_Brown/sarah009.cha, line 848 · Sarah 2;04
  1. MOTxxx .
    MOToh # Sarah .
    MOT*MOT: why can't you have nice curls .
    MOThmm ?
    MOToh # Sarah .
  2. MOThmm ?
    MOToh # Sarah .
    MOT*MOT: why can't you have nice curls .
    MOThmm ?
    GLOxxx cutting her hair ?
  3. GLOxxx cutting her hair ?
    MOTI wanna cut it and I don't wanna cut it .
    MOT*MOT: I don't know # I want it to grow long and then I [/] I want her to have curls and then I want it to be short # I don't know what I want .
    MOTlooks all right when I curl it # you know .
    MOTxxx when I don't curl it # looks awful .

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_Brown2.37
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah009.chaSarah 2;4.171,264332.37

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. curls3 · 100.0%