PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

3.52 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (338 utterances, 1,422 words searched).

  1. I think you're just lazy . GLO · eng_USA_Brown/sarah045.cha, line 577 · Sarah 3;01
  2. I don('t) think xxx . MOT · eng_USA_Brown/sarah045.cha, line 753 · Sarah 3;01
  3. I think you been makin(g) good mistakes . MOT · eng_USA_Brown/sarah045.cha, line 1068 · Sarah 3;01
  4. +" oh # I think Kenny . MOT · eng_USA_Brown/sarah045.cha, line 1192 · Sarah 3;01
  5. I don't think you know them very good . MOT · eng_USA_Brown/sarah045.cha, line 1392 · Sarah 3;01
  1. eng_USA_Brown/sarah045.cha, line 577 · Sarah, 3;1.17
    GLOgi(ve) me the red one .
    GLOwhere's the red one ?
    GLO*GLO: I think you're just lazy .
    GLOno # wait a minute .
    GLOthis is yellow .
  2. eng_USA_Brown/sarah045.cha, line 753 · Sarah, 3;1.17
    CHI0 .
    MOTwhere's the brown ?
    MOT*MOT: I don('t) think xxx .
    MOTcolor (h)im brown .
    MOTstay inside the lines .
  3. eng_USA_Brown/sarah045.cha, line 1068 · Sarah, 3;1.17
    CHIthis blue .
    CHIblue [//] this blue .
    MOT*MOT: I think you been makin(g) good mistakes .
    CHIwai(t) .
    MOTlook # what color's that ?
  4. eng_USA_Brown/sarah045.cha, line 1192 · Sarah, 3;1.17
    MOTshe says to me # what's his name again ?
    MOTI said Kent .
    MOT*MOT: +" oh # I think Kenny .
    MOTshe has a friend name Kenny down at the beach # (be)cause she xxx callin(g) you Kenny .
    CHIKenny .
  5. eng_USA_Brown/sarah045.cha, line 1392 · Sarah, 3;1.17
    CHII know my colors .
    MOTya know your colors ?
    MOT*MOT: I don't think you know them very good .
    MOThow's that taste ?
    MOTdoes that taste like orange ?

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_Brown3.52
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah045.chaSarah 3;1.171,422553.52

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. think5 · 100.0%