PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

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

  1. how many more is there to put away ? MOT · eng_british_Manchester_II/nic07a.cha, line 580 · Nicole 2;02
  2. have you showed Caroline how Humpty_Dumpty works ? MOT · eng_british_Manchester_II/nic07a.cha, line 853 · Nicole 2;02
  3. how many books have we got ? MOT · eng_british_Manchester_II/nic07a.cha, line 1214 · Nicole 2;02
  4. how many can you count ? MOT · eng_british_Manchester_II/nic07a.cha, line 1219 · Nicole 2;02
  5. how many can you see ? MOT · eng_british_Manchester_II/nic07a.cha, line 1238 · Nicole 2;02
  6. how many can you see ? MOT · eng_british_Manchester_II/nic07a.cha, line 1240 · Nicole 2;02
  1. eng_british_Manchester_II/nic07a.cha, line 580 · Nicole, 2;2.27
    MOTshall we play +//.
    MOTyou [/] <you put> [/] you put your bobbins away .
    MOT*MOT: how many more is there to put away ?
    CHIxxx .
    CHIyellow .
  2. eng_british_Manchester_II/nic07a.cha, line 853 · Nicole, 2;2.27
    MOTtickle ?
    CHItickle .
    MOT*MOT: have you showed Caroline how Humpty_Dumpty works ?
    CHIthink yeah .
    MOTand are you going to # make him up ?
  3. eng_british_Manchester_II/nic07a.cha, line 1214 · Nicole, 2;2.27
    MOThmm ?
    MOTno ?
    MOT*MOT: how many books have we got ?
    MOTone two three four five six books I can count .
    MOThow many can you count ?
  4. eng_british_Manchester_II/nic07a.cha, line 1219 · Nicole, 2;2.27
    MOThow many books have we got ?
    MOTone two three four five six books I can count .
    MOT*MOT: how many can you count ?
    CHIno .
    MOTcan't you see them ?
  5. eng_british_Manchester_II/nic07a.cha, line 1238 · Nicole, 2;2.27
    MOTone two three four five six .
    MOTone two three four five six .
    MOT*MOT: how many can you see ?
    MOThow many can you see ?
    MOTone +...
  6. eng_british_Manchester_II/nic07a.cha, line 1240 · Nicole, 2;2.27
    MOTone two three four five six .
    MOThow many can you see ?
    MOT*MOT: how many can you see ?
    MOTone +...
    MOTgone all shy ?

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_II2.92
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic07a.chaNicole 2;2.272,054662.92

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. how6 · 100.0%