PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

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

  1. Daddy . MOT · eng_USA_Brown/sarah062.cha, line 651 · Sarah 3;05
  2. Daddy . MOT · eng_USA_Brown/sarah062.cha, line 658 · Sarah 3;05
  3. now it's Daddy's turn . MOT · eng_USA_Brown/sarah062.cha, line 1213 · Sarah 3;05
  4. let's draw Daddy . MOT · eng_USA_Brown/sarah062.cha, line 1300 · Sarah 3;05
  5. this is Daddy . MOT · eng_USA_Brown/sarah062.cha, line 1302 · Sarah 3;05
  6. this is Daddy in five years . MOT · eng_USA_Brown/sarah062.cha, line 1305 · Sarah 3;05
  7. that's Daddy . MOT · eng_USA_Brown/sarah062.cha, line 1364 · Sarah 3;05
  1. eng_USA_Brown/sarah062.cha, line 651 · Sarah, 3;5.13
    MOTwhat does it say ?
    CHIv@l # a@l +... [+ bch]
    MOT*MOT: Daddy .
    MOTd@l # a@l # d@l # d@l # y@l +...
    CHId@l # y@l # y@l +... [+ bch]
  2. eng_USA_Brown/sarah062.cha, line 658 · Sarah, 3;5.13
    MOTd@l # a@l # d@l # d@l # y@l +...
    CHId@l # y@l # y@l +... [+ bch]
    MOT*MOT: Daddy .
    CHIDaddy .
    CHImake a star .
  3. eng_USA_Brown/sarah062.cha, line 1213 · Sarah, 3;5.13
    CHIyeah .
    MOTisn't that xxx hmm ?
    MOT*MOT: now it's Daddy's turn .
    FATwho's this ?
    MOTwho's this now ?
  4. eng_USA_Brown/sarah062.cha, line 1300 · Sarah, 3;5.13
    MOTdon't cha ?
    FATyes .
    MOT*MOT: let's draw Daddy .
    MOTthis is Daddy .
    MOTthis is Daddy in five years .
  5. eng_USA_Brown/sarah062.cha, line 1302 · Sarah, 3;5.13
    FATyes .
    MOTlet's draw Daddy .
    MOT*MOT: this is Daddy .
    MOTthis is Daddy in five years .
    CHI(a)n(d) that's Daddy .
  6. eng_USA_Brown/sarah062.cha, line 1305 · Sarah, 3;5.13
    MOTlet's draw Daddy .
    MOTthis is Daddy .
    MOT*MOT: this is Daddy in five years .
    CHI(a)n(d) that's Daddy .
    FATright there # the eyes .
  7. eng_USA_Brown/sarah062.cha, line 1364 · Sarah, 3;5.13
    MOTnow what's what's that ?
    CHIDaddy .
    MOT*MOT: that's Daddy .
    CHI0 .
    MOTwait a minute .

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_Brown2.87
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah062.chaSarah 3;5.132,443772.87

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. daddy7 · 100.0%