PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

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

  1. where's the h@l ? MOT · eng_USA_Brown/sarah055.cha, line 384 · Sarah 3;03
  2. the h@l . MOT · eng_USA_Brown/sarah055.cha, line 388 · Sarah 3;03
  3. where's the h@l ? MOT · eng_USA_Brown/sarah055.cha, line 394 · Sarah 3;03
  4. that's an h@l # yeah . MOT · eng_USA_Brown/sarah055.cha, line 403 · Sarah 3;03
  5. s@l # a@l # r@l # a@l # h@l . MOT · eng_USA_Brown/sarah055.cha, line 409 · Sarah 3;03
  6. she must (h)a(ve) picked it up on television . MOT · eng_USA_Brown/sarah055.cha, line 945 · Sarah 3;03
  7. uhuh # ask (h)im some more . MOT · eng_USA_Brown/sarah055.cha, line 1264 · Sarah 3;03
  1. eng_USA_Brown/sarah055.cha, line 384 · Sarah, 3;3.28
    MOTyou've got it .
    MOTs@l # a@l # r@l # a@l .
    MOT*MOT: where's the h@l ?
    MOTthat's the hard one .
    MOTthe h@l .
  2. eng_USA_Brown/sarah055.cha, line 388 · Sarah, 3;3.28
    MOTwhere's the h@l ?
    MOTthat's the hard one .
    MOT*MOT: the h@l .
    MOTxxx .
    MOTthat's a w@l .
  3. eng_USA_Brown/sarah055.cha, line 394 · Sarah, 3;3.28
    MOTxxx .
    MOTthat's a w@l .
    MOT*MOT: where's the h@l ?
    MOTthat's an m@l .
    GRAxxx .
  4. eng_USA_Brown/sarah055.cha, line 403 · Sarah, 3;3.28
    GRAxxx .
    CHItha(t)'s m@l .
    MOT*MOT: that's an h@l # yeah .
    MOTthere .
    MOTthere's your name .
  5. eng_USA_Brown/sarah055.cha, line 409 · Sarah, 3;3.28
    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 .
  6. eng_USA_Brown/sarah055.cha, line 945 · Sarah, 3;3.28
    MOT+" I pledge allegiance to the flag of the United States .
    MOTI almost fell off the chair .
    MOT*MOT: she must (h)a(ve) picked it up on television .
    GRAI xxx yes .
    MOTbut I never heard her say it .
  7. eng_USA_Brown/sarah055.cha, line 1264 · Sarah, 3;3.28
    KENa t@l .
    KENoh .
    MOT*MOT: uhuh # ask (h)im some more .
    CHIwhat's that ?
    KENum .

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_Brown2.75
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah055.chaSarah 3;3.282,550772.75

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. h7 · 100.0%