PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

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

  1. we'll give two for the file and one for Melissa and for me . GAI · eng_USA_Brown/sarah133.cha, line 302 · Sarah 4;11
  2. they give you four negatives # huh ? MOT · eng_USA_Brown/sarah133.cha, line 345 · Sarah 4;11
  3. we couldn't give everybody a chair # that's for sure . MOT · eng_USA_Brown/sarah133.cha, line 476 · Sarah 4;11
  4. I'll give you ten to get out . ANN · eng_USA_Brown/sarah133.cha, line 913 · Sarah 4;11
  5. I'll give you ten to get it . ANN · eng_USA_Brown/sarah133.cha, line 930 · Sarah 4;11
  6. I don't know what I'm gonna give her . MOT · eng_USA_Brown/sarah133.cha, line 996 · Sarah 4;11
  1. GAIyeah .
    MOTI have an extra one if you want it .
    GAI*GAI: we'll give two for the file and one for Melissa and for me .
    MOToh # (be)cause I didn't know if you wanted another one or not .
    GAIlet's leave it at four for now # ok ?
  2. ANNwhat's your middle name ?
    CHIyyy .
    MOT*MOT: they give you four negatives # huh ?
    CHInegative .
    ANNno # it ain't .
  3. ANNwe did last year .
    MOTI know .
    MOT*MOT: we couldn't give everybody a chair # that's for sure .
    ANNdid you have it in the house last year ?
    MOTcan't have it in the house .
  4. ANNmake it snappy # Sarah .
    ANNan(d) hurry up .
    ANN*ANN: I'll give you ten to get out .
    ANNone # two # three # four # five # six # seven # eight # nine # ten .
    CHI0 .
  5. CHI0 .
    ANNyes # you do .
    ANN*ANN: I'll give you ten to get it .
    CHI0 .
    MOTone # two # three # four # five # six # seven # eight +...
  6. CHIno .
    ANNwhat else ?
    MOT*MOT: I don't know what I'm gonna give her .
    GAIwhat kind of a bike # Sarah ?
    MOTwhat kind of bike do you want ?

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_Brown2.95
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah133.chaSarah 4;11.262,032662.95

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. give6 · 100.0%