PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

3.81 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (457 utterances, 1,836 words searched).

  1. hmm ? MOT · eng_british_Manchester_II/nic32a.cha, line 69 · Nicole 2;11
  2. hmm ? MOT · eng_british_Manchester_II/nic32a.cha, line 182 · Nicole 2;11
  3. hmm ? MOT · eng_british_Manchester_II/nic32a.cha, line 291 · Nicole 2;11
  4. hmm ? MOT · eng_british_Manchester_II/nic32a.cha, line 1178 · Nicole 2;11
  5. hmm ? MOT · eng_british_Manchester_II/nic32a.cha, line 1431 · Nicole 2;11
  6. hmm ? MOT · eng_british_Manchester_II/nic32a.cha, line 1474 · Nicole 2;11
  7. hmm ? MOT · eng_british_Manchester_II/nic32a.cha, line 1478 · Nicole 2;11
  1. eng_british_Manchester_II/nic32a.cha, line 69 · Nicole, 2;11.18
    MOTso .
    MOTshall we play with something first ?
    MOT*MOT: hmm ?
    MOTdo you want to draw ?
    MOTno ?
  2. eng_british_Manchester_II/nic32a.cha, line 182 · Nicole, 2;11.18
    MOTshall we make some vegetables then for dinner ?
    CHIxxx .
    MOT*MOT: hmm ?
    MOTout of your playdough .
    MOTshall we make some vegetables ?
  3. eng_british_Manchester_II/nic32a.cha, line 291 · Nicole, 2;11.18
    MOTlook .
    MOTwatch Mummy do her's .
    MOT*MOT: hmm ?
    MOTjust roll it backwards and forwards .
    MOTno need to do all that business .
  4. eng_british_Manchester_II/nic32a.cha, line 1178 · Nicole, 2;11.18
    MOTI think when we've finished this you'd best go to bed and have a lie down if you're not very well .
    CHIno .
    MOT*MOT: hmm ?
    MOTno ?
    MOTright .
  5. eng_british_Manchester_II/nic32a.cha, line 1431 · Nicole, 2;11.18
    MOTBenny the dog ?
    MOTdo you like Benny ?
    MOT*MOT: hmm ?
    MOTdo you ?
    CHIdo .
  6. eng_british_Manchester_II/nic32a.cha, line 1474 · Nicole, 2;11.18
    MOThave you forgotten ?
    CHIno .
    MOT*MOT: hmm ?
    MOThave you forgotten ?
    MOThmm ?
  7. eng_british_Manchester_II/nic32a.cha, line 1478 · Nicole, 2;11.18
    MOThmm ?
    MOThave you forgotten ?
    MOT*MOT: hmm ?
    MOTI think it's Joey .
    MOTor is it Freddy ?

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_II3.81
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic32a.chaNicole 2;11.181,836773.81

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. hmm7 · 100.0%