PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

2.35 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (606 utterances, 2,550 words searched).

  1. you were doin(g) good before . GRA · eng_USA_Brown/sarah055.cha, line 634 · Sarah 3;03
  2. you were right . MOT · eng_USA_Brown/sarah055.cha, line 1692 · Sarah 3;03
  3. you were right . MOT · eng_USA_Brown/sarah055.cha, line 1694 · Sarah 3;03
  4. you were right . GRA · eng_USA_Brown/sarah055.cha, line 1700 · Sarah 3;03
  5. you were right . MOT · eng_USA_Brown/sarah055.cha, line 1702 · Sarah 3;03
  6. no # this [//] these were Russian words . KEN · eng_USA_Brown/sarah055.cha, line 1815 · Sarah 3;03
  1. eng_USA_Brown/sarah055.cha, line 634 · Sarah, 3;3.28
    MOTred +...
    GRAred # red # oh # Sarah .
    GRA*GRA: you were doin(g) good before .
    MOTwhat happened ?
    MOThow_come you always get one right ?
  2. eng_USA_Brown/sarah055.cha, line 1692 · Sarah, 3;3.28
    MOTno it goes on the other side .
    MOToh # no .
    MOT*MOT: you were right .
    MOTyou were right .
    MOTno # on this side where ya had it .
  3. eng_USA_Brown/sarah055.cha, line 1694 · Sarah, 3;3.28
    MOToh # no .
    MOTyou were right .
    MOT*MOT: you were right .
    MOTno # on this side where ya had it .
    GRAyou were right .
  4. eng_USA_Brown/sarah055.cha, line 1700 · Sarah, 3;3.28
    MOTyou were right .
    MOTno # on this side where ya had it .
    GRA*GRA: you were right .
    MOTyou were right .
    GRAshe xxx strugglin(g) .
  5. eng_USA_Brown/sarah055.cha, line 1702 · Sarah, 3;3.28
    MOTno # on this side where ya had it .
    GRAyou were right .
    MOT*MOT: you were right .
    GRAshe xxx strugglin(g) .
    MOTthey are kind o(f) tight # though .
  6. eng_USA_Brown/sarah055.cha, line 1815 · Sarah, 3;3.28
    KENthat's pretty good .
    MOTare you doin(g) that too ?
    KEN*KEN: no # this [//] these were Russian words .
    KENoh # and they're different sounds .
    MOTthey sound just like yyy yyy yyy yyy .

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_Brown2.35
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah055.chaSarah 3;3.282,550662.35

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. were6 · 100.0%