PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

4.86 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (379 utterances, 1,645 words searched).

  1. le(t) me see . MOT · eng_USA_Brown/sarah105.cha, line 112 · Sarah 4;04
  2. see ? MOT · eng_USA_Brown/sarah105.cha, line 137 · Sarah 4;04
  3. hey # c(a)n I see it ? MEL · eng_USA_Brown/sarah105.cha, line 306 · Sarah 4;04
  4. Sarah let me see it . MEL · eng_USA_Brown/sarah105.cha, line 308 · Sarah 4;04
  5. le(t) me see ? MEL · eng_USA_Brown/sarah105.cha, line 620 · Sarah 4;04
  6. let's see her rosy cheeks . MEL · eng_USA_Brown/sarah105.cha, line 1368 · Sarah 4;04
  7. let's see . FAT · eng_USA_Brown/sarah105.cha, line 1409 · Sarah 4;04
  8. see if you can write dog . MOT · eng_USA_Brown/sarah105.cha, line 1446 · Sarah 4;04
  1. CHIwatch .
    FATwho are these people # Carol ?
    MOT*MOT: le(t) me see .
    FATis that Eleanor ?
    MELis this Ann_Marie's ?
  2. CHII know how to button .
    MELyou know how to button ?
    MOT*MOT: see ?
    MOTAunt_Tillie .
    CHIoh+boy .
  3. FATa what ?
    CHIxxx .
    MEL*MEL: hey # c(a)n I see it ?
    MELSarah let me see it .
    GAIyou talkin(g) about xxx .
  4. CHIxxx .
    MELhey # c(a)n I see it ?
    MEL*MEL: Sarah let me see it .
    GAIyou talkin(g) about xxx .
    MELwhere's the tree ?
  5. GAIwhat is that ?
    MELwhat is it ?
    MEL*MEL: le(t) me see ?
    CHICrazy_Foam .
    MELwhat does it do ?
  6. MOToh Sarah you've got enough there .
    CHIyou lent me another pencil .
    MEL*MEL: let's see her rosy cheeks .
    MOToh you won't be here next week # will you Don ?
    FATxxx .
  7. CHIcan you do that ?
    CHIdown # up # xxx .
    FAT*FAT: let's see .
    FATwhat is it ?
    CHIan l@l .
  8. GAIyeah .
    FATI thought you can write dog # too .
    MOT*MOT: see if you can write dog .
    CHIhow you spell dog ?
    FATd@l .

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_Brown4.86
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah105.chaSarah 4;4.181,645884.86

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. see8 · 100.0%