PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

3.26 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (305 utterances, 1,227 words searched).

  1. who says +"/. FAT · eng_USA_Brown/sarah104.cha, line 1211 · Sarah 4;04
  2. who always says +"/. MOT · eng_USA_Brown/sarah104.cha, line 1217 · Sarah 4;04
  3. you know somebody who always says that . FAT · eng_USA_Brown/sarah104.cha, line 1223 · Sarah 4;04
  4. who ? MOT · eng_USA_Brown/sarah104.cha, line 1344 · Sarah 4;04
  1. eng_USA_Brown/sarah104.cha, line 1211 · Sarah, 4;4.11
    MELI like dabadoo@c .
    CHIbut it still disappeared .
    FAT*FAT: who says +"/.
    FAT+" dabadabadoo@c ?
    CHIhuh ?
  2. eng_USA_Brown/sarah104.cha, line 1217 · Sarah, 4;4.11
    FAT+" dabadabadoo@c ?
    CHIhuh ?
    MOT*MOT: who always says +"/.
    MOT+" dabadabadoo@c ?
    CHIsome ?
  3. eng_USA_Brown/sarah104.cha, line 1223 · Sarah, 4;4.11
    MOT+" dabadabadoo@c ?
    CHIsome ?
    FAT*FAT: you know somebody who always says that .
    MOTno # he doesn't say +"/.
    MOT+" abadabadoo@c .
  4. eng_USA_Brown/sarah104.cha, line 1344 · Sarah, 4;4.11
    MOTxxx (it)'ll get mad .
    MOThe's gettin(g) mad now .
    MOT*MOT: who ?
    CHIbring it back .
    MOThow about makin(g) the dog disappear ?

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_Brown3.26
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah104.chaSarah 4;4.111,227443.26

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. who4 · 100.0%