PHPCLANCHILDES with regular expressions

10 matches in 10 utterances

4.82 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (589 utterances, 2,074 words searched).

  1. sounds like it's working to me . MOT · eng_british_Manchester_I/gail17a.cha, line 68 · Gail 2;05
  2. oh deary me . MOT · eng_british_Manchester_I/gail17a.cha, line 255 · Gail 2;05
  3. tell me what's on the paper . MOT · eng_british_Manchester_I/gail17a.cha, line 909 · Gail 2;05
  4. tell me what's on the paper first . MOT · eng_british_Manchester_I/gail17a.cha, line 1018 · Gail 2;05
  5. you want to help me ? MOT · eng_british_Manchester_I/gail17a.cha, line 1137 · Gail 2;05
  6. can you help me ? MOT · eng_british_Manchester_I/gail17a.cha, line 1240 · Gail 2;05
  7. can you tell me what they are ? MOT · eng_british_Manchester_I/gail17a.cha, line 1341 · Gail 2;05
  8. do you want me to help ? INV · eng_british_Manchester_I/gail17a.cha, line 1456 · Gail 2;05
  9. tell me what they all are . MOT · eng_british_Manchester_I/gail17a.cha, line 1570 · Gail 2;05
  10. tell me what they all are . MOT · eng_british_Manchester_I/gail17a.cha, line 1594 · Gail 2;05
  1. CHIno .
    CHIit's not working .
    MOT*MOT: sounds like it's working to me .
    MOTdon't put your fingers in it .
    MOTbeen a long time since we've seen Caroline .
  2. MOTyeah ?
    MOTwhat ?
    MOT*MOT: oh deary me .
    MOTlet's see .
    MOTxxx .
  3. MOTyou don't want to save it ?
    MOTwhat's on it ?
    MOT*MOT: tell me what's on the paper .
    CHIno .
    MOTit's lovely paper , isn't it ?
  4. CHIAndy's got one up there .
    MOTyeah .
    MOT*MOT: tell me what's on the paper first .
    MOTwhat can you spot ?
    CHIoh .
  5. MOTwhat do you think it's going to be ?
    CHIhelping you .
    MOT*MOT: you want to help me ?
    MOToh .
    MOTthat looks good , doesn't it ?
  6. MOTthat looks good , isn't it ?
    CHIxxx .
    MOT*MOT: can you help me ?
    CHImmhm .
    MOTwe have to do some matching .
  7. MOTAndy's got a dirty nappy .
    MOTall these different pictures .
    MOT*MOT: can you tell me what they are ?
    MOTmustn't lose them down the holes in the floor+boards , must we ?
    MOTdo you want to put it on the rug ?
  8. MOTthere .
    MOTtip it right over .
    INV*INV: do you want me to help ?
    INVxxx .
    CHII need a [*] help .
  9. MOTwhat are all the ones on there ?
    MOTstarting at the top .
    MOT*MOT: tell me what they all are .
    MOTa +...
    MOTa doctor ?
  10. MOTis it ?
    MOTare you looking ?
    MOT*MOT: tell me what they all are .
    MOTpoint to them .
    MOTfirst one is a +...

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. Gail eng_british_Manchester_I4.82
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/gail17a.chaGail 2;5.182,07410104.82

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. me10 · 100.0%