PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

2.46 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (427 utterances, 2,032 words searched).

  1. oh # (be)cause I didn't know if you wanted another one or not . MOT · eng_USA_Brown/sarah133.cha, line 305 · Sarah 4;11
  2. an(d) Freddy # that's another one . MOT · eng_USA_Brown/sarah133.cha, line 540 · Sarah 4;11
  3. that's another one . MOT · eng_USA_Brown/sarah133.cha, line 548 · Sarah 4;11
  4. there was another girl down there last year I used to always play with # but I forget h… ANN · eng_USA_Brown/sarah133.cha, line 751 · Sarah 4;11
  5. have another prize ? ANN · eng_USA_Brown/sarah133.cha, line 924 · Sarah 4;11
  1. eng_USA_Brown/sarah133.cha, line 305 · Sarah, 4;11.26
    MOTI have an extra one if you want it .
    GAIwe'll give two for the file and one for Melissa and for me .
    MOT*MOT: oh # (be)cause I didn't know if you wanted another one or not .
    GAIlet's leave it at four for now # ok ?
    CHIwhere's the top ?
  2. eng_USA_Brown/sarah133.cha, line 540 · Sarah, 4;11.26
    MOTyeah # Kenny # Ann an(d) Barbara .
    MOTthat's one family .
    MOT*MOT: an(d) Freddy # that's another one .
    CHIyeah .
    MOTthen there's Danny an(d) Patty # Mary Beth # Eileen # an(d) Kathy .
  3. eng_USA_Brown/sarah133.cha, line 548 · Sarah, 4;11.26
    CHIyeah .
    MOTthen there's Danny an(d) Patty # Mary Beth # Eileen # an(d) Kathy .
    MOT*MOT: that's another one .
    CHIyeah .
    MOTyeah .
  4. eng_USA_Brown/sarah133.cha, line 751 · Sarah, 4;11.26
    MOTthere's only Billy # Sarah # an(d) Mary Ann in the Burkes .
    MOTsomebody else ?
    ANN*ANN: there was another girl down there last year I used to always play with # but I forget her name .
    MOTI think she's in with the Burke family .
    MOTI think she might be (be)cause they look kind o(f) short here .
  5. eng_USA_Brown/sarah133.cha, line 924 · Sarah, 4;11.26
    GAIwhat's that ?
    CHIa pocketbook .
    ANN*ANN: have another prize ?
    CHI0 .
    ANNyes # you do .

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_Brown2.46
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah133.chaSarah 4;11.262,032552.46

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. another5 · 100.0%