PHPCLANCHILDES with regular expressions

9 matches in 9 utterances

3.57 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (605 utterances, 2,521 words searched).

  1. yeah . MOT · eng_british_Manchester_II/nic08a.cha, line 26 · Nicole 2;03
  2. yeah ? MOT · eng_british_Manchester_II/nic08a.cha, line 35 · Nicole 2;03
  3. yeah . INV · eng_british_Manchester_II/nic08a.cha, line 115 · Nicole 2;03
  4. yeah . MOT · eng_british_Manchester_II/nic08a.cha, line 427 · Nicole 2;03
  5. yeah . MOT · eng_british_Manchester_II/nic08a.cha, line 647 · Nicole 2;03
  6. yeah . INV · eng_british_Manchester_II/nic08a.cha, line 936 · Nicole 2;03
  7. yeah . MOT · eng_british_Manchester_II/nic08a.cha, line 1235 · Nicole 2;03
  8. yeah . MOT · eng_british_Manchester_II/nic08a.cha, line 1409 · Nicole 2;03
  9. yeah . MOT · eng_british_Manchester_II/nic08a.cha, line 1647 · Nicole 2;03
  1. CHIthat .
    CHI&a there .
    MOT*MOT: yeah .
    MOTwell .
    MOTI've got +//.
  2. MOTI've got +//.
    MOTyou wash the pots up and then Mummy'll dry them .
    MOT*MOT: yeah ?
    MOTwhat're you doing ?
    MOTare you turning the tap on ?
  3. MOTa fork ?
    INVa fork .
    INV*INV: yeah .
    INVand a cloth to dry it with .
    MOTmmhm .
  4. MOT+, a fork .
    CHIoh no .
    MOT*MOT: yeah .
    MOTxxx +/.
    CHIcup of tea .
  5. MOTcan you tell Rachel then if you can remember ?
    CHIown .
    MOT*MOT: yeah .
    MOTyou went on your own but can you remember what it was ?
    MOTit was an xxx , wasn't it ?
  6. CHIcup of tea .
    INVcup of tea .
    INV*INV: yeah .
    INVthat's what I'm drinking .
    INV<a nice cup of tea> [>] .
  7. CHIout .
    CHIout .
    MOT*MOT: yeah .
    MOTwell .
    MOTif you move out the way I can get it out , can't I ?
  8. MOTmmhm .
    MOTthere's the man .
    MOT*MOT: yeah .
    MOTwhat do you want me to do with him ?
    MOTdo you want me to put him some blue trousers on ?
  9. MOThow many have you got left to put in ?
    CHIblue and +...
    MOT*MOT: yeah .
    MOT<how many> [/] how many crayons are there there ?
    MOTput in ?

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_II3.57
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic08a.chaNicole 2;3.032,521993.57

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. yeah9 · 100.0%