PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

3.03 per 1,000 words of the child (CHI), in 1 of 1 transcripts (272 utterances, 990 words searched).

  1. now I'm goin(g) make another valentine . CHI · eng_USA_Brown/sarah124.cha, line 82 · Sarah 4;09
  2. I'm goin(g) make another one # see ? CHI · eng_USA_Brown/sarah124.cha, line 105 · Sarah 4;09
  3. mm # I'll make another one on the other side . CHI · eng_USA_Brown/sarah124.cha, line 673 · Sarah 4;09
  1. eng_USA_Brown/sarah124.cha, line 82 · Sarah, 4;9.12
    MOT(be)cause you folded the paper .
    CHIoh .
    CHI*CHI: now I'm goin(g) make another valentine .
    CHIit looks like a door like this when it's big # 0so # huh ?
    GAIit looks like a what ?
  2. eng_USA_Brown/sarah124.cha, line 105 · Sarah, 4;9.12
    CHIxxx airplane .
    CHIif I really throwed it up in the window and sended a <mess(age)> [//] message in it .
    CHI*CHI: I'm goin(g) make another one # see ?
    CHI<now gi(ve) me the> [//] where's my pencil ?
    CHIwhoa .
  3. eng_USA_Brown/sarah124.cha, line 673 · Sarah, 4;9.12
    CHIthis is how you make a valentine ?
    MOTwell # not too bad .
    CHI*CHI: mm # I'll make another one on the other side .
    MOTalright .
    MELwho's gonna get this valentine ?

Matches by age

One dot per transcript: matches per 1,000 words of the child (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_Brown3.03
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah124.chaSarah 4;9.12990333.03

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. another3 · 100.0%