PHPCLANCHILDES with regular expressions

11 matches in 11 utterances

7.18 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (429 utterances, 1,532 words searched).

  1. yeah . MOT · eng_british_Manchester_II/nic10b.cha, line 70 · Nicole 2;04
  2. yeah . MOT · eng_british_Manchester_II/nic10b.cha, line 83 · Nicole 2;04
  3. yeah . MOT · eng_british_Manchester_II/nic10b.cha, line 168 · Nicole 2;04
  4. yeah . MOT · eng_british_Manchester_II/nic10b.cha, line 174 · Nicole 2;04
  5. yeah . MOT · eng_british_Manchester_II/nic10b.cha, line 254 · Nicole 2;04
  6. yeah . MOT · eng_british_Manchester_II/nic10b.cha, line 395 · Nicole 2;04
  7. yeah . MOT · eng_british_Manchester_II/nic10b.cha, line 660 · Nicole 2;04
  8. yeah . MOT · eng_british_Manchester_II/nic10b.cha, line 951 · Nicole 2;04
  9. oh yeah . MOT · eng_british_Manchester_II/nic10b.cha, line 1083 · Nicole 2;04
  10. yeah . MOT · eng_british_Manchester_II/nic10b.cha, line 1107 · Nicole 2;04
  11. yeah . INV · eng_british_Manchester_II/nic10b.cha, line 1286 · Nicole 2;04
  1. CHIa sausage .
    MOTsausage .
    MOT*MOT: yeah .
    MOThot+dogs .
    MOTwho likes hot+dogs ?
  2. MOTwe always have hot+dogs when somebody comes , don't we ?
    MOTis that a cow ?
    MOT*MOT: yeah .
    MOTcow .
    MOTum .
  3. MOTwhat do pigs do ?
    CHIoink^oink@o .
    MOT*MOT: yeah .
    MOTwhat do cows do ?
    CHImoo@o .
  4. MOTwhat do cows do ?
    CHImoo@o .
    MOT*MOT: yeah .
    MOTwhat do dogs do ?
    CHIum +...
  5. CHIgot cheese .
    MOTcheese .
    MOT*MOT: yeah .
    CHImmm .
    MOTmmm .
  6. MOTget him out .
    MOTit's broken , isn't it ?
    MOT*MOT: yeah .
    CHIxxx .
    MOTxxx beef+burger .
  7. CHIblue one .
    MOTblue one .
    MOT*MOT: yeah .
    MOTthat's a blue fence , isn't it ?
    CHIred .
  8. INVoh what a sight .
    INVxxx a photo of that .
    MOT*MOT: yeah .
    CHIbyebye .
    CHIbye .
  9. CHInappy .
    CHIxxx .
    MOT*MOT: oh yeah .
    INVand there's a nappy out there ?
    MOTwww .
  10. CHINicole loud .
    MOTit was loud .
    MOT*MOT: yeah .
    MOTthat's a tiger .
    MOTa tiger cub .
  11. INVNicky what ?
    INVknickers ?
    INV*INV: yeah .
    INVMum's gonna [: going to] bring some down for you .
    INVshe's coming down .

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_II7.18
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic10b.chaNicole 2;4.1,53211117.18

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. yeah11 · 100.0%