PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

13.13 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (116 utterances, 457 words searched).

  1. would you like water in your glass ? MOT · bilingual_eng_french_Watkins/a01wat09.cha, line 13 · Jeremy 2;05
  2. why did you move your glass ? FAT · bilingual_eng_french_Watkins/a01wat09.cha, line 39 · Jeremy 2;05
  3. [- to CH1] hey what about your pasta Master Jeremy ? MOT · bilingual_eng_french_Watkins/a01wat09.cha, line 129 · Jeremy 2;05
  4. Master Jeremy you have'nt finished your pasta, go on . FAT · bilingual_eng_french_Watkins/a01wat09.cha, line 130 · Jeremy 2;05
  5. don't you want to finish your pasta ? MOT · bilingual_eng_french_Watkins/a01wat09.cha, line 132 · Jeremy 2;05
  6. <well it's your pâté isn't it you've dropped it> [<] [>] . FAT · bilingual_eng_french_Watkins/a01wat09.cha, line 149 · Jeremy 2;05
  1. CHI<in the> [?] glass .
    MOTthat's a glass yes .
    MOT*MOT: would you like water in your glass ?
    CHIxx some .
    CHIsome is some water .
  2. FAT## oh careful !
    FATyou see that's silly of you isn't it ?
    FAT*FAT: why did you move your glass ?
    FAT[- to MOT] can you bring over a sponge or something ## when you come .
    FAT[- to CH1] here you are .
  3. FAT[- to MOT] you don't want some of this ?
    MOTno .
    MOT*MOT: [- to CH1] hey what about your pasta Master Jeremy ?
    FATMaster Jeremy you have'nt finished your pasta, go on .
    CHIxx xx that too .
  4. MOTno .
    MOT[- to CH1] hey what about your pasta Master Jeremy ?
    FAT*FAT: Master Jeremy you have'nt finished your pasta, go on .
    CHIxx xx that too .
    MOTdon't you want to finish your pasta ?
  5. FATMaster Jeremy you have'nt finished your pasta, go on .
    CHIxx xx that too .
    MOT*MOT: don't you want to finish your pasta ?
    CHIno !
    MOTthat's a bit silly .
  6. CHIhey pâté !
    MOT<xxx xxx xxx> [>] .
    FAT*FAT: <well it's your pâté isn't it you've dropped it> [<] [>] .
    CHIlook [<] !
    FAToh what did you do ?

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. Jeremy bilingual_eng_french_Watkins13.13
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_french_Watkins/a01wat09.chaJeremy 2;5.174576613.13

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. your6 · 100.0%