PHPCLANCHILDES with regular expressions

15 matches in 11 utterances

27.88 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (260 utterances, 538 words searched).

  1. a eye . SAR · eng_USA_Brown/sarah001.cha, line 45
  2. eye . SAR · eng_USA_Brown/sarah001.cha, line 152
  3. um oh <a &ch> [//] # a eye . SAR · eng_USA_Brown/sarah001.cha, line 406
  4. eye . SAR · eng_USA_Brown/sarah001.cha, line 439
  5. a &eye &she . SAR · eng_USA_Brown/sarah001.cha, line 452
  6. aah xx &eye . SAR · eng_USA_Brown/sarah001.cha, line 535
  7. &eye &eye . SAR · eng_USA_Brown/sarah001.cha, line 546
  8. &eye &eye . SAR · eng_USA_Brown/sarah001.cha, line 546
  9. &eye xx . SAR · eng_USA_Brown/sarah001.cha, line 547
  10. &eye &eye . SAR · eng_USA_Brown/sarah001.cha, line 551
  11. &eye &eye . SAR · eng_USA_Brown/sarah001.cha, line 551
  12. &eye &eye . SAR · eng_USA_Brown/sarah001.cha, line 553
  13. &eye &eye . SAR · eng_USA_Brown/sarah001.cha, line 553
  14. &eye &eye . SAR · eng_USA_Brown/sarah001.cha, line 554
  15. &eye &eye . SAR · eng_USA_Brown/sarah001.cha, line 554
  1. eng_USA_Brown/sarah001.cha, line 45
    GLOyour nose .
    GLOan(d) what's that ?
    SAR*SAR: a eye .
    MOT0 .
    SARhair .
  2. eng_USA_Brown/sarah001.cha, line 152
    SARa nose .
    MOTwhat's this ?
    SAR*SAR: eye .
    MOTwhat's this ?
    SARnah [?] .
  3. eng_USA_Brown/sarah001.cha, line 406
    MOTyeah # that's a shoe .
    MOTwhat's this ?
    SAR*SAR: um oh <a &ch> [//] # a eye .
    MOTwhat's this here ?
    SARum # hat .
  4. eng_USA_Brown/sarah001.cha, line 439
    MOTwhat's this ?
    SARum # ah +...
    SAR*SAR: eye .
    MOTthat's not that .
    MOTwhat's this ?
  5. eng_USA_Brown/sarah001.cha, line 452
    SARbear .
    MOTwhat's this ?
    SAR*SAR: a &eye &she .
    MOT<what's> [//] <oh # you know what> [//] what's this ?
    SARa yy .
  6. eng_USA_Brown/sarah001.cha, line 535
    SARyy .
    MOTwho's this ?
    SAR*SAR: aah xx &eye .
    MOTwho's this ?
    SARa teddy+bear .
  7. eng_USA_Brown/sarah001.cha, line 546
    MOTteddy+bear .
    MOTand who's this ?
    SAR*SAR: &eye &eye .
    SAR&eye xx .
    SARxx .
  8. eng_USA_Brown/sarah001.cha, line 547
    MOTand who's this ?
    SAR&eye &eye .
    SAR*SAR: &eye xx .
    SARxx .
    SAR&eye &eye .
  9. eng_USA_Brown/sarah001.cha, line 551
    SAR&eye xx .
    SARxx .
    SAR*SAR: &eye &eye .
    SAR&b .
    SAR&eye &eye .
  10. eng_USA_Brown/sarah001.cha, line 553
    SAR&eye &eye .
    SAR&b .
    SAR*SAR: &eye &eye .
    SAR&eye &eye .
    SAR&b xx .
  11. eng_USA_Brown/sarah001.cha, line 554
    SAR&b .
    SAR&eye &eye .
    SAR*SAR: &eye &eye .
    SAR&b xx .
    SARum Ma +...

Matches by child

Matches per 1,000 words, all transcripts of each child together, highest first.

  1. Sarah eng_USA_Brown27.88
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah001.chaSarah 538111527.88

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. eye15 · 100.0%