PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

2.41 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (291 utterances, 1,245 words searched).

  1. maybe she ought ta get something like that . MOT · eng_USA_Brown/sarah102.cha, line 935 · Sarah 4;03
  2. get in here # c(o)me on ! MOT · eng_USA_Brown/sarah102.cha, line 966 · Sarah 4;03
  3. get up here # c(o)me on ! MOT · eng_USA_Brown/sarah102.cha, line 968 · Sarah 4;03
  1. eng_USA_Brown/sarah102.cha, line 935 · Sarah, 4;3.26
    GAII don't think she can .
    CHIuh # how_come .
    MOT*MOT: maybe she ought ta get something like that .
    FAThmm ?
    MOTxxx something like that to do xxx .
  2. eng_USA_Brown/sarah102.cha, line 966 · Sarah, 4;3.26
    CHIthis goes on that one ?
    GAIyes .
    MOT*MOT: get in here # c(o)me on !
    MOTget up here # c(o)me on !
    CHIlike [/] <like that> [//] like this # huh ?
  3. eng_USA_Brown/sarah102.cha, line 968 · Sarah, 4;3.26
    GAIyes .
    MOTget in here # c(o)me on !
    MOT*MOT: get up here # c(o)me on !
    CHIlike [/] <like that> [//] like this # huh ?
    GAIyes .

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_Brown2.41
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah102.chaSarah 4;3.261,245332.41

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. get3 · 100.0%