PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

3.24 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (385 utterances, 1,236 words searched).

  1. xxx won't buy no new one +... MOT · eng_USA_Brown/sarah020.cha, line 519 · Sarah 2;07
  2. this your new book ? MOT · eng_USA_Brown/sarah020.cha, line 644 · Sarah 2;07
  3. you have new tooth [//] # teeth there # where ? MOT · eng_USA_Brown/sarah020.cha, line 1100 · Sarah 2;07
  4. why # I think you are getting a new teeth there . MOT · eng_USA_Brown/sarah020.cha, line 1108 · Sarah 2;07
  1. MOTyou've got all the clothes off all your dolls .
    CHIxxx buy new one .
    MOT*MOT: xxx won't buy no new one +...
    CHIxxx buy new one .
    MOTxxx buy .
  2. MOTare you tired ?
    CHIno .
    MOT*MOT: this your new book ?
    MOTthe # &fr fraidy+cat ?
    CHIfrai(dy)+cat .
  3. CHII new teeth here .
    CHII new teeth here .
    MOT*MOT: you have new tooth [//] # teeth there # where ?
    CHIright here .
    MOTwhere ?
  4. MOTwhere ?
    MOTopen up your mouth big .
    MOT*MOT: why # I think you are getting a new teeth there .
    MOTyeah .
    MOToh+boy !

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_Brown3.24
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah020.chaSarah 2;7.051,236443.24

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. new4 · 100.0%