PHPCLANCHILDES with regular expressions

9 matches in 9 utterances

4.38 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (531 utterances, 2,054 words searched).

  1. one two three . MOT · eng_british_Manchester_II/nic07a.cha, line 888 · Nicole 2;02
  2. one two three . MOT · eng_british_Manchester_II/nic07a.cha, line 898 · Nicole 2;02
  3. do one two three jump . MOT · eng_british_Manchester_II/nic07a.cha, line 908 · Nicole 2;02
  4. one two three four five six books I can count . MOT · eng_british_Manchester_II/nic07a.cha, line 1216 · Nicole 2;02
  5. one two three four five six . MOT · eng_british_Manchester_II/nic07a.cha, line 1227 · Nicole 2;02
  6. one two three four five six . MOT · eng_british_Manchester_II/nic07a.cha, line 1232 · Nicole 2;02
  7. one two three four five six . MOT · eng_british_Manchester_II/nic07a.cha, line 1235 · Nicole 2;02
  8. one two three . MOT · eng_british_Manchester_II/nic07a.cha, line 1660 · Nicole 2;02
  9. one two three . MOT · eng_british_Manchester_II/nic07a.cha, line 1668 · Nicole 2;02
  1. CHIthat xxx .
    CHIxxx .
    MOT*MOT: one two three .
    MOTjump .
    MOTjump .
  2. MOTjump .
    MOT<you're not putting your> [//] you want to put your thumb a bit lower , look .
    MOT*MOT: one two three .
    MOTare you holding it down ?
    MOTyou silly girl .
  3. MOTno wonder it willn't jump up .
    MOTsay it then .
    MOT*MOT: do one two three jump .
    MOTNicole !
    MOThe's supposed to jump off , isn't he ?
  4. MOTno ?
    MOThow many books have we got ?
    MOT*MOT: one two three four five six books I can count .
    MOThow many can you count ?
    CHIno .
  5. MOTcan't you see them ?
    MOThmm ?
    MOT*MOT: one two three four five six .
    CHImmhm .
    MOTone two three four five six .
  6. MOTone two three four five six .
    CHImmhm .
    MOT*MOT: one two three four five six .
    MOTone two three four five six .
    MOThow many can you see ?
  7. CHImmhm .
    MOTone two three four five six .
    MOT*MOT: one two three four five six .
    MOThow many can you see ?
    MOThow many can you see ?
  8. MOTcan you sit up ?
    MOTgive me your hand then .
    MOT*MOT: one two three .
    MOTone +//.
    MOTcome on .
  9. MOTcome on .
    MOTsit up .
    MOT*MOT: one two three .
    CHIMummy .
    MOTshall we find another game to play ?

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_II4.38
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic07a.chaNicole 2;2.272,054994.38

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. three9 · 100.0%