PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

3.42 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (534 utterances, 2,049 words searched).

  1. let's make something . INV · eng_british_Manchester_II/nic05b.cha, line 295 · Nicole 2;02
  2. make [/] make something with Rachel while Mummy gets a biscuit . MOT · eng_british_Manchester_II/nic05b.cha, line 297 · Nicole 2;02
  3. shall we put something on the car ? MOT · eng_british_Manchester_II/nic05b.cha, line 409 · Nicole 2;02
  4. shall we build something else then ? INV · eng_british_Manchester_II/nic05b.cha, line 491 · Nicole 2;02
  5. are you going to build something then ? MOT · eng_british_Manchester_II/nic05b.cha, line 553 · Nicole 2;02
  6. are you going to build us something then ? MOT · eng_british_Manchester_II/nic05b.cha, line 705 · Nicole 2;02
  7. is that where you've spilt something ? MOT · eng_british_Manchester_II/nic05b.cha, line 1302 · Nicole 2;02
  1. MOTyou stay there while [//] with Rachel while I just run upstairs and get a biscuit .
    INVlook at all these things though .
    INV*INV: let's make something .
    MOTmake [/] make something with Rachel while Mummy gets a biscuit .
    MOTyeah ?
  2. INVlook at all these things though .
    INVlet's make something .
    MOT*MOT: make [/] make something with Rachel while Mummy gets a biscuit .
    MOTyeah ?
    MOTxxx .
  3. INVthere we go .
    MOToh .
    MOT*MOT: shall we put something on the car ?
    CHIyeah .
    MOTwhat shall we put on the car ?
  4. INVwhoops xxx tumbling down .
    MOToh dear .
    INV*INV: shall we build something else then ?
    CHIthat .
    INVwhat's that ?
  5. CHIno way .
    MOToh .
    MOT*MOT: are you going to build something then ?
    CHIno .
    CHIbickie .
  6. CHIno .
    MOTno ?
    MOT*MOT: are you going to build us something then ?
    CHIno .
    MOTno ?
  7. MOTis it wet there ?
    CHImmhm .
    MOT*MOT: is that where you've spilt something ?
    CHIyeah .
    CHIjuice .

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_II3.42
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic05b.chaNicole 2;2.052,049773.42

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. something7 · 100.0%