PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

2.97 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (649 utterances, 2,359 words searched).

  1. good . MOT · eng_british_Manchester_II/nic12a.cha, line 817 · Nicole 2;04
  2. good girl . MOT · eng_british_Manchester_II/nic12a.cha, line 904 · Nicole 2;04
  3. good girl . MOT · eng_british_Manchester_II/nic12a.cha, line 916 · Nicole 2;04
  4. good girl . MOT · eng_british_Manchester_II/nic12a.cha, line 1020 · Nicole 2;04
  5. good girl . INV · eng_british_Manchester_II/nic12a.cha, line 1076 · Nicole 2;04
  6. good girl . MOT · eng_british_Manchester_II/nic12a.cha, line 1318 · Nicole 2;04
  7. that's good . INV · eng_british_Manchester_II/nic12a.cha, line 1926 · Nicole 2;04
  1. INVare you dry ?
    CHIyeah .
    MOT*MOT: good .
    MOTare you ?
    CHIyeah .
  2. MOT<that's right> [>] .
    INVyes [<] .
    MOT*MOT: good girl .
    MOTwww .
    MOTdo you like having your hair brushed ?
  3. CHIyeah .
    MOTyeah ?
    MOT*MOT: good girl .
    MOTyou can brush your hair as well , can't you ?
    CHINicole do it .
  4. INV<yeah but what> [<] +//.
    MOTNicole .
    MOT*MOT: good girl .
    INVNicole's name is Nicole .
    INVthat's brilliant that one .
  5. INVyes .
    MOTblonde .
    INV*INV: good girl .
    MOToh .
    MOTMorag's enjoying this , isn't she ?
  6. CHIum lemon .
    MOTlemon .
    MOT*MOT: good girl .
    MOTand what've you got in your hand ?
    MOTwhat's this ?
  7. INVyou're back now .
    INVoh .
    INV*INV: that's good .
    MOTwhere have you been ?
    CHIto shops .

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_II2.97
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic12a.chaNicole 2;4.212,359772.97

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. good7 · 100.0%