PHPCLANCHILDES with regular expressions

15 matches in 15 utterances

16.29 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (248 utterances, 921 words searched).

  1. what's the first part ? MOT · eng_USA_Brown/sarah065.cha, line 231 · Sarah 3;06
  2. what's on the end ? MOT · eng_USA_Brown/sarah065.cha, line 247 · Sarah 3;06
  3. <what kind> [//] # what's the other game you want ? MOT · eng_USA_Brown/sarah065.cha, line 338 · Sarah 3;06
  4. what's that ? MOT · eng_USA_Brown/sarah065.cha, line 455 · Sarah 3;06
  5. what's that ? MOT · eng_USA_Brown/sarah065.cha, line 489 · Sarah 3;06
  6. what's that ? MOT · eng_USA_Brown/sarah065.cha, line 497 · Sarah 3;06
  7. what's this one ? MOT · eng_USA_Brown/sarah065.cha, line 505 · Sarah 3;06
  8. what's this one ? MOT · eng_USA_Brown/sarah065.cha, line 537 · Sarah 3;06
  9. what's this one ? MOT · eng_USA_Brown/sarah065.cha, line 553 · Sarah 3;06
  10. what's that # goes in here . MOT · eng_USA_Brown/sarah065.cha, line 573 · Sarah 3;06
  11. now # what's this one ? MOT · eng_USA_Brown/sarah065.cha, line 585 · Sarah 3;06
  12. well # what's this ? MOT · eng_USA_Brown/sarah065.cha, line 620 · Sarah 3;06
  13. what's this one ? MOT · eng_USA_Brown/sarah065.cha, line 633 · Sarah 3;06
  14. what's this one ? MOT · eng_USA_Brown/sarah065.cha, line 657 · Sarah 3;06
  15. what's this one ? MOT · eng_USA_Brown/sarah065.cha, line 674 · Sarah 3;06
  1. CHI<d@l # d@l> [/] d@l .
    MOToh # yeah .
    MOT*MOT: what's the first part ?
    CHIum # d@l # a@l +... [+ bch]
    MOTum .
  2. CHId@l d@l +... [+ bch]
    MOTyeah .
    MOT*MOT: what's on the end ?
    CHIy@l .
    MOTyeah .
  3. CHII get one up there .
    MOTyeah .
    MOT*MOT: <what kind> [//] # what's the other game you want ?
    CHIbubble game .
    MOTno .
  4. MOTmmhm .
    CHIhey # I get another one .
    MOT*MOT: what's that ?
    CHIan f@l .
    MOTthat's right .
  5. CHII turn [/] # turn it over .
    CHIthat's a +...
    MOT*MOT: what's that ?
    CHIw@l .
    MOToh # yeah .
  6. MOToh # yeah .
    MOTyou're smart .
    MOT*MOT: what's that ?
    MOTit's an awful hard one .
    CHIq@l .
  7. CHIq@l .
    MOTnow you're gettin(g) too smart .
    MOT*MOT: what's this one ?
    CHIum +...
    MOTwell look at it first .
  8. CHIp@l .
    MOTthat's right .
    MOT*MOT: what's this one ?
    CHIo@l .
    MOTsay it again .
  9. MOTwho've you been talking to ?
    CHIyou .
    MOT*MOT: what's this one ?
    CHIm@l .
    MOTmm # ya got it right .
  10. CHIfive .
    MOTno .
    MOT*MOT: what's that # goes in here .
    CHIgoes in # here ?
    MOTmmhm .
  11. CHIg@l .
    MOTyeah .
    MOT*MOT: now # what's this one ?
    CHIb@l .
    MOTit's a favorite .
  12. MOTno # I haven't .
    CHIyes # you do .
    MOT*MOT: well # what's this ?
    CHIan a@l .
    MOTno .
  13. CHIit's a u@l .
    MOTu@l .
    MOT*MOT: what's this one ?
    CHIum # c@l .
    CHIe@l .
  14. CHIyeah .
    MOTsee # (a)n(d) this is round .
    MOT*MOT: what's this one ?
    CHIum +...
    MOTw@l # x@l # y@l # (a)n(d) .
  15. MOTz@l .
    CHI<z@l # z@l # z@l> [/] # z@l +...
    MOT*MOT: what's this one ?
    CHIum # l@l .
    MOTno # it's a j@l .

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. Sarah eng_USA_Brown16.29
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah065.chaSarah 3;6.16921151516.29

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. what's15 · 100.0%