PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

8.15 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (118 utterances, 368 words searched).

  1. c(o)me on # let's do the chacha . ANN · eng_USA_Brown/sarah019.cha, line 153 · Sarah 2;06
  2. now let's do um this . ANN · eng_USA_Brown/sarah019.cha, line 186 · Sarah 2;06
  3. let's see . MOT · eng_USA_Brown/sarah019.cha, line 421 · Sarah 2;06
  1. eng_USA_Brown/sarah019.cha, line 153 · Sarah, 2;6.30
    CHImeow@o .
    ANNc(o)me on .
    ANN*ANN: c(o)me on # let's do the chacha .
    ANNow !
    ANNwatch out with that microphone .
  2. eng_USA_Brown/sarah019.cha, line 186 · Sarah, 2;6.30
    ANNthat ain't a monkey .
    ANNc(o)me on .
    ANN*ANN: now let's do um this .
    MOTthe split .
    CHIxxx down .
  3. eng_USA_Brown/sarah019.cha, line 421 · Sarah, 2;6.30
    CHIno .
    MOTxxx you haven't got any money ?
    MOT*MOT: let's see .
    MOTno # no money .
    CHIno mo(ne)y [?] .

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_Brown8.15
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah019.chaSarah 2;6.30368338.15

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. let's3 · 100.0%