PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

3.49 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (492 utterances, 2,004 words searched).

  1. I was cutting this slice then to make my flower+head . MOT · eng_british_Manchester_II/nic25a.cha, line 869 · Nicole 2;09
  2. could I have that piece of playdough to make my flower+head ? MOT · eng_british_Manchester_II/nic25a.cha, line 881 · Nicole 2;09
  3. do you like my flower ? MOT · eng_british_Manchester_II/nic25a.cha, line 928 · Nicole 2;09
  4. do you like my flower ? MOT · eng_british_Manchester_II/nic25a.cha, line 930 · Nicole 2;09
  5. my bananas have gone too . INV · eng_british_Manchester_II/nic25a.cha, line 1042 · Nicole 2;09
  6. do you like my flower arrangement ? MOT · eng_british_Manchester_II/nic25a.cha, line 1183 · Nicole 2;09
  7. shall I carry on making my big Yorkshire pudding . MOT · eng_british_Manchester_II/nic25a.cha, line 1285 · Nicole 2;09
  1. MOTthat's what that's for .
    MOToh .
    MOT*MOT: I was cutting this slice then to make my flower+head .
    MOTno such luck .
    INVno .
  2. INVdefinitely not .
    CHIwhat 0have [*] you got in your hand ?
    MOT*MOT: could I have that piece of playdough to make my flower+head ?
    MOTplease ?
    CHIxxx .
  3. MOTan egg .
    MOTthere .
    MOT*MOT: do you like my flower ?
    MOTdo you like my flower ?
    CHIyeah .
  4. MOTthere .
    MOTdo you like my flower ?
    MOT*MOT: do you like my flower ?
    CHIyeah .
    MOTis it nice ?
  5. MOTshe spent ages making that fruit+bowl as well .
    INVoh .
    INV*INV: my bananas have gone too .
    MOTwell .
    MOTI think you've got your nasty head on today .
  6. CHIright .
    CHIxxx .
    MOT*MOT: do you like my flower arrangement ?
    CHII want a sweetie .
    INVoh no .
  7. MOTsit round and let's do something with the playdough .
    MOTmmhm .
    MOT*MOT: shall I carry on making my big Yorkshire pudding .
    MOTor would you like to make some savory mince or chicken curry to go in this big Yorkshire pudding ?
    CHIcan we cook it ?

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. Nicole eng_british_Manchester_II3.49
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic25a.chaNicole 2;9.092,004773.49

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. my7 · 100.0%