PHPCLANCHILDES with regular expressions

14 matches in 13 utterances

5.73 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (680 utterances, 2,443 words searched).

  1. it's a c@l . MOT · eng_USA_Brown/sarah062.cha, line 699 · Sarah 3;05
  2. c@l +... MOT · eng_USA_Brown/sarah062.cha, line 703 · Sarah 3;05
  3. c@l # a@l # t@l +... MOT · eng_USA_Brown/sarah062.cha, line 725 · Sarah 3;05
  4. yeah # c@l . MOT · eng_USA_Brown/sarah062.cha, line 794 · Sarah 3;05
  5. a@l # b@l # c@l # d@l +... MOT · eng_USA_Brown/sarah062.cha, line 916 · Sarah 3;05
  6. c(o)me (h)ere . FAT · eng_USA_Brown/sarah062.cha, line 1657 · Sarah 3;05
  7. what's a pinga@c pinga@c ? MOT · eng_USA_Brown/sarah062.cha, line 1990 · Sarah 3;05
  8. what's a pinga@c pinga@c ? MOT · eng_USA_Brown/sarah062.cha, line 1990 · Sarah 3;05
  9. what's a pinga@c ? MOT · eng_USA_Brown/sarah062.cha, line 2002 · Sarah 3;05
  10. a pinga@c . MOT · eng_USA_Brown/sarah062.cha, line 2038 · Sarah 3;05
  11. don't know know what a pinger@c is ? MOT · eng_USA_Brown/sarah062.cha, line 2040 · Sarah 3;05
  12. what's a pinger@c ? FAT · eng_USA_Brown/sarah062.cha, line 2044 · Sarah 3;05
  13. maybe Kent knows what a pinger@c is . MOT · eng_USA_Brown/sarah062.cha, line 2051 · Sarah 3;05
  14. you know what a pinger@c is ? MOT · eng_USA_Brown/sarah062.cha, line 2053 · Sarah 3;05
  1. MOTyou don't know it ?
    MOTo:h .
    MOT*MOT: it's a c@l .
    CHIit's a c@l .
    MOTc@l +...
  2. MOTit's a c@l .
    CHIit's a c@l .
    MOT*MOT: c@l +...
    CHIv@l +...
    MOTshe's awful # today .
  3. CHIt@l +...
    MOTwhat's that ?
    MOT*MOT: c@l # a@l # t@l +...
    CHIyeah .
    MOTwhat does that say ?
  4. MOTb@l .
    CHIyyy # v@l # c@l # I mean +...
    MOT*MOT: yeah # c@l .
    CHIuh # um # uh # v@l .
    MOTd@l .
  5. CHIa +/.
    MOTthink !
    MOT*MOT: a@l # b@l # c@l # d@l +...
    CHIa@l # b@l # c@l # um +... [+ bch]
    MOTshe's foolin(g) .
  6. CHIwho ?
    MOTChantilly .
    FAT*FAT: c(o)me (h)ere .
    MOTlet him stay in there .
    MOTyeah .
  7. MOTa little what ?
    CHIa little pinga@c [/] pinga@c .
    MOT*MOT: what's a pinga@c pinga@c ?
    CHIan i@l # n@l # o@l .
    CHIno # pinga@c that way .
  8. CHIa <pinga@c # pinga@c> [/] # pinga@c .
    MOTdon't ask me ?
    MOT*MOT: what's a pinga@c ?
    CHIxxx .
    CHIlike it .
  9. MOTa what +...
    CHI<pinga@c # pinga@c> [/] # pinga@c +...
    MOT*MOT: a pinga@c .
    MOTdon't know know what a pinger@c is ?
    CHIa <pinga@c # pinga@c> [/] # pinga@c +...
  10. CHI<pinga@c # pinga@c> [/] # pinga@c +...
    MOTa pinga@c .
    MOT*MOT: don't know know what a pinger@c is ?
    CHIa <pinga@c # pinga@c> [/] # pinga@c +...
    FATwhat's a pinger@c ?
  11. MOTdon't know know what a pinger@c is ?
    CHIa <pinga@c # pinga@c> [/] # pinga@c +...
    FAT*FAT: what's a pinger@c ?
    MOTI don't know .
    CHI(a)n(d) then you write a pinga@c right there .
  12. MOTI don't know .
    CHI(a)n(d) then you write a pinga@c right there .
    MOT*MOT: maybe Kent knows what a pinger@c is .
    MOTyou know what a pinger@c is ?
    FATsomethin(g) that pongs@n .
  13. CHI(a)n(d) then you write a pinga@c right there .
    MOTmaybe Kent knows what a pinger@c is .
    MOT*MOT: you know what a pinger@c is ?
    FATsomethin(g) that pongs@n .
    MOTno # not hardly .

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_Brown5.73
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah062.chaSarah 3;5.132,44313145.73

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. c14 · 100.0%