PHPCLANCHILDES with regular expressions

11 matches in 11 utterances

4.31 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (606 utterances, 2,550 words searched).

  1. no # that's an r@l . MOT · eng_USA_Brown/sarah055.cha, line 48 · Sarah 3;03
  2. r@l . MOT · eng_USA_Brown/sarah055.cha, line 52 · Sarah 3;03
  3. where's the r@l ? MOT · eng_USA_Brown/sarah055.cha, line 291 · Sarah 3;03
  4. where's the r@l . MOT · eng_USA_Brown/sarah055.cha, line 311 · Sarah 3;03
  5. where's the r@l ? GRA · eng_USA_Brown/sarah055.cha, line 330 · Sarah 3;03
  6. where's the r@l ? MOT · eng_USA_Brown/sarah055.cha, line 332 · Sarah 3;03
  7. r@l . GRA · eng_USA_Brown/sarah055.cha, line 363 · Sarah 3;03
  8. r@l . MOT · eng_USA_Brown/sarah055.cha, line 365 · Sarah 3;03
  9. s@l # a@l # r@l # a@l . MOT · eng_USA_Brown/sarah055.cha, line 382 · Sarah 3;03
  10. s@l # a@l # r@l # a@l # h@l . MOT · eng_USA_Brown/sarah055.cha, line 409 · Sarah 3;03
  11. look and see fo(r) what ? MOT · eng_USA_Brown/sarah055.cha, line 1900 · Sarah 3;03
  1. CHIuh # q@l .
    CHItha(t)'s a q@l .
    MOT*MOT: no # that's an r@l .
    CHIaah # a nowhe(re) .
    MOTr@l .
  2. MOTno # that's an r@l .
    CHIaah # a nowhe(re) .
    MOT*MOT: r@l .
    CHInah .
    MOTwhat's this ?
  3. MOTthat's the a@l .
    MOTthat's it .
    MOT*MOT: where's the r@l ?
    CHIno # dis one go dat way .
    MOTno .
  4. CHIboth a@l-s .
    MOTboth a@l-s .
    MOT*MOT: where's the r@l .
    CHI0 .
    MOTwhat's the one with the one hole ?
  5. MOTit's an a@l .
    CHIoh .
    GRA*GRA: where's the r@l ?
    MOTwhere's the r@l ?
    MOTthat's got the hole in it .
  6. CHIoh .
    GRAwhere's the r@l ?
    MOT*MOT: where's the r@l ?
    MOTthat's got the hole in it .
    MOTthat's the wrong hole .
  7. MOTwhat's this ?
    MOTs@l # a@l .
    GRA*GRA: r@l .
    MOTr@l .
    MOTnow where's the a@l ?
  8. MOTs@l # a@l .
    GRAr@l .
    MOT*MOT: r@l .
    MOTnow where's the a@l ?
    MOTremember what I told ya about the a@l ?
  9. CHIwhere ?
    MOTyou've got it .
    MOT*MOT: s@l # a@l # r@l # a@l .
    MOTwhere's the h@l ?
    MOTthat's the hard one .
  10. MOTthere .
    MOTthere's your name .
    MOT*MOT: s@l # a@l # r@l # a@l # h@l .
    CHIpeekaboo .
    CHIuh hey [/] hey you go(t) that .
  11. CHIthank I # yyy yyy Chatty_baby .
    CHII look and see .
    MOT*MOT: look and see fo(r) what ?
    GRAshe's +/.
    CHI<I look> [//] <I see uh> [//] <I look> [//] I see uh # Chatty_bab(y) .

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_Brown4.31
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah055.chaSarah 3;3.282,55011114.31

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. r11 · 100.0%