PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

3.54 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (575 utterances, 1,977 words searched).

  1. oh well let me put these socks on and then I'll ask you something else . MOT · eng_british_Manchester_II/ruth22a.cha, line 216 · Ruth 2;06
  2. and who else is in the alphabet ? MOT · eng_british_Manchester_II/ruth22a.cha, line 225 · Ruth 2;06
  3. er who else do we know ? MOT · eng_british_Manchester_II/ruth22a.cha, line 420 · Ruth 2;06
  4. who else is there ? MOT · eng_british_Manchester_II/ruth22a.cha, line 428 · Ruth 2;06
  5. now who else shall we do ? MOT · eng_british_Manchester_II/ruth22a.cha, line 1179 · Ruth 2;06
  6. who else shall we do ? MOT · eng_british_Manchester_II/ruth22a.cha, line 1378 · Ruth 2;06
  7. now what else shall we do ? MOT · eng_british_Manchester_II/ruth22a.cha, line 1452 · Ruth 2;06
  1. MOTRobber_Red runs very fast .
    MOTand what does +//.
    MOT*MOT: oh well let me put these socks on and then I'll ask you something else .
    MOTwhat does Kicking_King do ?
    MOTlike that ?
  2. MOTwhat does Kicking_King do ?
    MOTlike that ?
    MOT*MOT: and who else is in the alphabet ?
    MOTer Bouncing +...
    CHI++ Ben .
  3. MOTthat's right .
    CHImmhm .
    MOT*MOT: er who else do we know ?
    CHIum Bouncing_Ben .
    MOTBouncing_Ben .
  4. MOTBouncing_Ben .
    MOTmmhm .
    MOT*MOT: who else is there ?
    CHIJumping [/] Jumping_Jim .
    MOTJumping_Jim's your favorite , isn't he ?
  5. MOTright .
    MOTokay .
    MOT*MOT: now who else shall we do ?
    CHImilk , no .
    CHImilk [/] milk the white baby .
  6. MOTokay .
    MOTbig white baby get that .
    MOT*MOT: who else shall we do ?
    CHIum that .
    CHIhat one .
  7. MOTthere .
    CHII like that .
    MOT*MOT: now what else shall we do ?
    CHImilk one .
    MOTmilk one .

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. Ruth eng_british_Manchester_II3.54
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/ruth22a.chaRuth 2;6.191,977773.54

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. else7 · 100.0%