PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

2.49 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (364 utterances, 1,609 words searched).

  1. we're going to leave those up there <for the moment or do we [//] we might want the xxx right> [>] ? GRA · bilingual_eng_Deuchar/861023eg.cha, line 33 · M 1;03
  2. or isn't it # we should've had this new one that I brought . GRA · bilingual_eng_Deuchar/861023eg.cha, line 84 · M 1;03
  3. well or another one # a more recent one . MOT · bilingual_eng_Deuchar/861023eg.cha, line 565 · M 1;03
  4. is that grand [//] mummy's shoe or daddy's shoe ? GRA · bilingual_eng_Deuchar/861023eg.cha, line 756 · M 1;03
  1. GRAthere we are .
    GRAwhat are we going to play with ?
    GRA*GRA: we're going to leave those up there <for the moment or do we [//] we might want the xxx right> [>] ?
    CHIyyy [<] .
    MOT<xxx well you may want to play with> [>] .
  2. MOT<this photograph> [<] might be good of Web [?][>] .
    GRAyes .
    GRA*GRA: or isn't it # we should've had this new one that I brought .
    GRAwho's this M ?
    GRAwho's that ?
  3. MOTno # and who's this ?
    MOTwho's this ?
    MOT*MOT: well or another one # a more recent one .
    GRAmmm ?
    MOTwho's this ?
  4. GRAa shoe ?
    GRAwhat a horrible shoe .
    GRA*GRA: is that grand [//] mummy's shoe or daddy's shoe ?
    GRAis that daddy's ?
    CHIyyy .

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. M bilingual_eng_Deuchar2.49
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_Deuchar/861023eg.chaM 1;3.291,609442.49

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. or4 · 100.0%