PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

3.53 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (338 utterances, 1,699 words searched).

  1. is there an r@l in your name # Sarah ? MEL · eng_USA_Brown/sarah100.cha, line 40 · Sarah 4;03
  2. everybody I know that went out there # they come back they don't drink milk . MOT · eng_USA_Brown/sarah100.cha, line 410 · Sarah 4;03
  3. there . MEL · eng_USA_Brown/sarah100.cha, line 602 · Sarah 4;03
  4. as long as she gets there . GAI · eng_USA_Brown/sarah100.cha, line 927 · Sarah 4;03
  5. there . MOT · eng_USA_Brown/sarah100.cha, line 1013 · Sarah 4;03
  6. it's right there . MOT · eng_USA_Brown/sarah100.cha, line 1029 · Sarah 4;03
  1. eng_USA_Brown/sarah100.cha, line 40 · Sarah, 4;3.13
    GAII guess so .
    CHIdat's how ya do it .
    MEL*MEL: is there an r@l in your name # Sarah ?
    CHIno .
    MELno ?
  2. eng_USA_Brown/sarah100.cha, line 410 · Sarah, 4;3.13
    MELSarah .
    MOTshe went out to California and she doesn't drink milk .
    MOT*MOT: everybody I know that went out there # they come back they don't drink milk .
    CHIhey # you not learn how to do this # yet ?
    GAIwhat ?
  3. eng_USA_Brown/sarah100.cha, line 602 · Sarah, 4;3.13
    MOTget it yourself .
    MOTyou're so lazy .
    MEL*MEL: there .
    CHIwhere's another blue ?
    MELyou see em .
  4. eng_USA_Brown/sarah100.cha, line 927 · Sarah, 4;3.13
    GAImmhm .
    MOTeverything she does # she starts from the bottom and works up .
    GAI*GAI: as long as she gets there .
    MOTyeah .
    GAIa lot of children when they how to write and read # <reverse things> [//] # reverse letters .
  5. eng_USA_Brown/sarah100.cha, line 1013 · Sarah, 4;3.13
    CHIyes I can .
    MOTwhy don't cha tear the page out .
    MOT*MOT: there .
    MOTit'll be a little easier .
    CHIdid I cut some ?
  6. eng_USA_Brown/sarah100.cha, line 1029 · Sarah, 4;3.13
    CHIsee that ?
    CHIno give it to me .
    MOT*MOT: it's right there .
    CHIwell # let's try it this way .
    CHIthat's the way ya do it # huh ?

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_Brown3.53
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah100.chaSarah 4;3.131,699663.53

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. there6 · 100.0%