PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

3.83 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (281 utterances, 1,044 words searched).

  1. where's your little fireman ? FAT · eng_USA_Demetras_Trevor/t_fat02.cha, line 178 · Tim 2;01
  2. where's your little fireman ? FAT · eng_USA_Demetras_Trevor/t_fat02.cha, line 182 · Tim 2;01
  3. I can't find your fireman . FAT · eng_USA_Demetras_Trevor/t_fat02.cha, line 385 · Tim 2;01
  4. is there a fireman in there ? FAT · eng_USA_Demetras_Trevor/t_fat02.cha, line 416 · Tim 2;01
  1. eng_USA_Demetras_Trevor/t_fat02.cha, line 178 · Tim, 2;1.30
    FATyou know what I don't even know what kind of noises the giraffe makes .
    CHIbeeda@o beeda@o beeda@o ba:h@o .
    FAT*FAT: where's your little fireman ?
    CHIno .
    FATwhere's your little fireman ?
  2. eng_USA_Demetras_Trevor/t_fat02.cha, line 182 · Tim, 2;1.30
    FATwhere's your little fireman ?
    CHIno .
    FAT*FAT: where's your little fireman ?
    FATwe [?] must be missing some # little people .
    CHImm Mr [: are] missi(ng) # eh li(ttle) beople [: people] .
  3. eng_USA_Demetras_Trevor/t_fat02.cha, line 385 · Tim, 2;1.30
    CHIa look [/] a look # go # in .
    CHI&d da: da dat dat .
    FAT*FAT: I can't find your fireman .
    CHIno .
    CHIwhy ?
  4. eng_USA_Demetras_Trevor/t_fat02.cha, line 416 · Tim, 2;1.30
    CHIli(ttl)e &gwon [?] .
    CHIli(tt)le +...
    FAT*FAT: is there a fireman in there ?
    CHIyeah .
    FATwhere ?

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. Tim eng_USA_Demetras_Trevor3.83
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Demetras_Trevor/t_fat02.chaTim 2;1.301,044443.83

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. fireman4 · 100.0%