PHPCLANCHILDES with regular expressions

9 matches in 9 utterances

7.77 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (343 utterances, 1,158 words searched).

  1. yes . MOT · eng_british_Manchester_I/becky32a.cha, line 53 · Becky 2;11
  2. yes . MOT · eng_british_Manchester_I/becky32a.cha, line 284 · Becky 2;11
  3. yes , Becky . MOT · eng_british_Manchester_I/becky32a.cha, line 476 · Becky 2;11
  4. yes . MOT · eng_british_Manchester_I/becky32a.cha, line 610 · Becky 2;11
  5. yes . MOT · eng_british_Manchester_I/becky32a.cha, line 692 · Becky 2;11
  6. oh yes . MOT · eng_british_Manchester_I/becky32a.cha, line 756 · Becky 2;11
  7. yes . MOT · eng_british_Manchester_I/becky32a.cha, line 906 · Becky 2;11
  8. yes please . INV · eng_british_Manchester_I/becky32a.cha, line 1030 · Becky 2;11
  9. oh yes . MOT · eng_british_Manchester_I/becky32a.cha, line 1505 · Becky 2;11
  1. INVyeah .
    MOTit is really .
    MOT*MOT: yes .
    CHIthis is a big book xxx .
    MOTis it ?
  2. MOTI'm coming , Becky .
    CHIcan you make me a circle .
    MOT*MOT: yes .
    MOTI'm coming .
    MOTI'm just giving Sukie some food .
  3. CHIno no .
    CHIbecause look .
    MOT*MOT: yes , Becky .
    MOTxxx .
    CHIdoes it go there ?
  4. MOThe probably willn't mind actually if you do .
    MOTwhoops .
    MOT*MOT: yes .
    MOTwell .
    MOTthere we are .
  5. CHIhe licks me .
    CHIhe licks me , doesn't he ?
    MOT*MOT: yes .
    MOThe does .
    CHIor splashing xxx .
  6. CHIoh .
    CHIthere he is .
    MOT*MOT: oh yes .
    CHIhe's going up .
    MOTwhoops .
  7. CHIyou [//] are you gonna [: going to] move your fingers in a minute ?
    MOTI am .
    MOT*MOT: yes .
    CHIin it goes .
    CHIput your fingers in there now .
  8. MOTwww .
    CHIdo you want medicine ?
    INV*INV: yes please .
    INVis it horrible ?
    CHIno .
  9. MOTthis is for the front of another train .
    CHIlet's make two .
    MOT*MOT: oh yes .
    MOTgo on then .
    MOTthat [//] you have that one and I'll have this 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. Becky eng_british_Manchester_I7.77
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky32a.chaBecky 2;11.011,158997.77

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. yes9 · 100.0%