PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

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

  1. who else (ha)s gone away ? MOT · eng_USA_Brown/sarah009.cha, line 384 · Sarah 2;04
  2. what else ? MOT · eng_USA_Brown/sarah009.cha, line 499 · Sarah 2;04
  3. and what else ? MOT · eng_USA_Brown/sarah009.cha, line 505 · Sarah 2;04
  4. and what else ? MOT · eng_USA_Brown/sarah009.cha, line 563 · Sarah 2;04
  5. (a)n(d) what else ? MOT · eng_USA_Brown/sarah009.cha, line 571 · Sarah 2;04
  1. CHIxxx .
    CHIxxx gone xxx away .
    MOT*MOT: who else (ha)s gone away ?
    CHIyyy .
    MOTwho ?
  2. MOTSanta_Claus is going to bring her Chatty_Baby .
    CHICha(tt)y_Baby .
    MOT*MOT: what else ?
    CHITickle .
    MOTTickle_Baby # yeah .
  3. CHITickle .
    MOTTickle_Baby # yeah .
    MOT*MOT: and what else ?
    CHIyyy .
    MOTTiny_Chatty_baby .
  4. CHIxxx Tickle .
    MOTTickle_Baby ?
    MOT*MOT: and what else ?
    CHIxxx .
    MOTdon't you want some new blocks ?
  5. MOTdon't you want some new blocks ?
    CHInew block .
    MOT*MOT: (a)n(d) what else ?
    CHIxxx .
    MOTwho ?

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_Brown3.96
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah009.chaSarah 2;4.171,264553.96

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. else5 · 100.0%