PHPCLANCHILDES with regular expressions

10 matches in 10 utterances

2.21 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (1,033 utterances, 4,516 words searched).

  1. hmm ? MOT · eng_USA_Brown/eve13.cha, line 1336 · Eve 2;00
  2. hmm ? RIC · eng_USA_Brown/eve13.cha, line 5116 · Eve 2;00
  3. hmm ? MOT · eng_USA_Brown/eve13.cha, line 5463 · Eve 2;00
  4. hmm ? MOT · eng_USA_Brown/eve13.cha, line 6106 · Eve 2;00
  5. hmm ? MOT · eng_USA_Brown/eve13.cha, line 6236 · Eve 2;00
  6. hmm ? MOT · eng_USA_Brown/eve13.cha, line 6369 · Eve 2;00
  7. hmm ? MOT · eng_USA_Brown/eve13.cha, line 6392 · Eve 2;00
  8. hmm ? MOT · eng_USA_Brown/eve13.cha, line 6434 · Eve 2;00
  9. hmm ? MOT · eng_USA_Brown/eve13.cha, line 6496 · Eve 2;00
  10. we may as well just go to bed while we're up there # hmm ? MOT · eng_USA_Brown/eve13.cha, line 6574 · Eve 2;00
  1. CHIthat for me .
    MOTd(o) you want one ?
    MOT*MOT: hmm ?
    CHIm:hm .
    MOTm:hm .
  2. CHIwhat's these [= small pans] # name ?
    CHIwhat these name ?
    RIC*RIC: hmm ?
    CHIwhat these name ?
    CHIwhat that name ?
  3. MOTI'd like a spoon to eat my noodle soup .
    MOTcan you find me a spoon ?
    MOT*MOT: hmm ?
    CHIokay .
    CHIgo sit on the stool .
  4. MOTwell they're in the livingroom .
    CHIwhere xxx ?
    MOT*MOT: hmm ?
    CHIwhere Cathy an(d) Judy ?
    MOTCathy and Judy .
  5. MOTm:hm .
    CHIwhere give ?
    MOT*MOT: hmm ?
    CHIwhere give for Papa ?
    MOTwhat'd I give for Papa ?
  6. MOTyes .
    CHImove me closer .
    MOT*MOT: hmm ?
    CHImove me closer .
    MOTmove you closer ?
  7. MOTtell me .
    CHIwhat you doing ?
    MOT*MOT: hmm ?
    CHIwhat you doing ?
    MOTI'm getting lunch .
  8. MOThe has it on his desk .
    CHIwhat going on ?
    MOT*MOT: hmm ?
    MOTwhat's going on ?
    MOTwhere ?
  9. MOTNancy .
    CHIcrying .
    MOT*MOT: hmm ?
    CHIcrying .
    MOTcrying ?
  10. CHIoh peepee in a minute .
    MOTwait a minute .
    MOT*MOT: we may as well just go to bed while we're up there # hmm ?
    CHIeh ?
    MOTwe may as well just go to bed while we're upstairs .

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. Eve eng_USA_Brown2.21
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/eve13.chaEve 2;0.4,51610102.21

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. hmm10 · 100.0%