PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

3.08 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (343 utterances, 1,623 words searched).

  1. if she plays with matches she'll get dead . MOT · eng_USA_Brown/sarah112.cha, line 129 · Sarah 4;06
  2. if someone what ? GAI · eng_USA_Brown/sarah112.cha, line 143 · Sarah 4;06
  3. Esther will kill you if you get them dirty ? GAI · eng_USA_Brown/sarah112.cha, line 326 · Sarah 4;06
  4. (a)n(d) if he had gone # he would've been alright . MOT · eng_USA_Brown/sarah112.cha, line 1080 · Sarah 4;06
  5. if you want it . MOT · eng_USA_Brown/sarah112.cha, line 1244 · Sarah 4;06
  1. eng_USA_Brown/sarah112.cha, line 129 · Sarah, 4;6.05
    GAIyou will ?
    CHI0 .
    MOT*MOT: if she plays with matches she'll get dead .
    GAIchildren aren't supposed to play with matches # are they ?
    CHIbut we [?] say [?] .
  2. eng_USA_Brown/sarah112.cha, line 143 · Sarah, 4;6.05
    CHImy daddy's on the fireman (de)partment .
    CHIif someone # burned a car +...
    GAI*GAI: if someone what ?
    CHIsomeone burned a car up .
    GAIsomeone burns a car up ?
  3. eng_USA_Brown/sarah112.cha, line 326 · Sarah, 4;6.05
    MOTwell # don't get em dirty .
    CHIEsther [= dancing teacher] will kill me .
    GAI*GAI: Esther will kill you if you get them dirty ?
    GAIoh .
    GAIyou will dance on your toes # yes ?
  4. eng_USA_Brown/sarah112.cha, line 1080 · Sarah, 4;6.05
    MOTI was on the phone # trying to get him in .
    GAImmhm .
    MOT*MOT: (a)n(d) if he had gone # he would've been alright .
    GAImmhm .
    GAIwhat are ya chewing on ?
  5. eng_USA_Brown/sarah112.cha, line 1244 · Sarah, 4;6.05
    CHIcan one have it on these ?
    CHIMom # can I have it on these # uhhuh # Mommy ?
    MOT*MOT: if you want it .
    CHIcan I have cheese on dese ?
    MOThere .

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_Brown3.08
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah112.chaSarah 4;6.051,623553.08

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. if5 · 100.0%