PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

5.98 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (263 utterances, 1,170 words searched).

  1. I was just gonna say # I don't remember buying you that . MOT · eng_USA_Brown/sarah108.cha, line 127 · Sarah 4;05
  2. I'm gonna put a dress +... MOT · eng_USA_Brown/sarah108.cha, line 130 · Sarah 4;05
  3. where ya gonna sleep ? MOT · eng_USA_Brown/sarah108.cha, line 681 · Sarah 4;05
  4. you're gonna sleep at Nana's # huh ? MOT · eng_USA_Brown/sarah108.cha, line 685 · Sarah 4;05
  5. you're gonna be fresh ? MOT · eng_USA_Brown/sarah108.cha, line 715 · Sarah 4;05
  6. Sarah's gonna get a haircut in a couple a weeks # aren't ya ? MOT · eng_USA_Brown/sarah108.cha, line 983 · Sarah 4;05
  7. she's gonna have a long +... MOT · eng_USA_Brown/sarah108.cha, line 988 · Sarah 4;05
  1. CHIfrom the store # Nana .
    MOToh with Nana .
    MOT*MOT: I was just gonna say # I don't remember buying you that .
    MOTI'm gonna put a dress +...
    MOTit's really warm out # huh ?
  2. MOToh with Nana .
    MOTI was just gonna say # I don't remember buying you that .
    MOT*MOT: I'm gonna put a dress +...
    MOTit's really warm out # huh ?
    GAImmhm .
  3. CHI0 .
    MOTwhere ya goin(g) ?
    MOT*MOT: where ya gonna sleep ?
    CHIup Nana's .
    MOTyou're gonna sleep at Nana's # huh ?
  4. MOTwhere ya gonna sleep ?
    CHIup Nana's .
    MOT*MOT: you're gonna sleep at Nana's # huh ?
    GAIthat will be fun .
    MOTwww .
  5. MOTI don't know what you're sayin(g) .
    CHIfresh .
    MOT*MOT: you're gonna be fresh ?
    CHI0 .
    MOTyeah # (a)n(d) you were fresh enough last night # I think .
  6. CHII'll get this one .
    CHIyou can comb my hair .
    MOT*MOT: Sarah's gonna get a haircut in a couple a weeks # aren't ya ?
    CHInope .
    MOTshe's gonna have a long +...
  7. MOTSarah's gonna get a haircut in a couple a weeks # aren't ya ?
    CHInope .
    MOT*MOT: she's gonna have a long +...
    MOTlong hair she wants .
    MOTand she just doesn't have the hair for long hair .

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_Brown5.98
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah108.chaSarah 4;5.081,170775.98

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. gonna7 · 100.0%