PHPCLANCHILDES with regular expressions

9 matches in 9 utterances

5.59 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. <we'll do> [//] we'll have this for a while and then we'll change to the other … MOT · bilingual_eng_Deuchar/861023eg.cha, line 71 · M 1;03
  3. do [//] which one's a car ? MOT · bilingual_eng_Deuchar/861023eg.cha, line 220 · M 1;03
  4. do you see Granny ? GRA · bilingual_eng_Deuchar/861023eg.cha, line 247 · M 1;03
  5. yes you do look nice . GRA · bilingual_eng_Deuchar/861023eg.cha, line 261 · M 1;03
  6. do you want to see some more ? MOT · bilingual_eng_Deuchar/861023eg.cha, line 300 · M 1;03
  7. do you remember the ducks ? GRA · bilingual_eng_Deuchar/861023eg.cha, line 675 · M 1;03
  8. what do the ducks say ? GRA · bilingual_eng_Deuchar/861023eg.cha, line 676 · M 1;03
  9. <the lamb says> [//] do you remember what the lamb says ? GRA · bilingual_eng_Deuchar/861023eg.cha, line 709 · M 1;03
  1. bilingual_eng_Deuchar/861023eg.cha, line 33 · M, 1;3.29
    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. bilingual_eng_Deuchar/861023eg.cha, line 71 · M, 1;3.29
    GRAthat's right .
    GRAthat's M's # ball isn't it ?
    MOT*MOT: <we'll do> [//] we'll have this for a while and then we'll change to the other microphone # we'll see .
    GRAall right .
    CHIyyy .
  3. bilingual_eng_Deuchar/861023eg.cha, line 220 · M, 1;3.29
    GRAyes .
    CHIcar .
    MOT*MOT: do [//] which one's a car ?
    CHIyyy .
    GRAyes .
  4. bilingual_eng_Deuchar/861023eg.cha, line 247 · M, 1;3.29
    MOTwhere is mum ?
    GRAah yes # she took that seat [?] .
    GRA*GRA: do you see Granny ?
    GRAgran ?
    CHIyyy .
  5. bilingual_eng_Deuchar/861023eg.cha, line 261 · M, 1;3.29
    MOT<I think yes we will have a pause alright> [?] .
    CHIyyy [<] .
    GRA*GRA: yes you do look nice .
    GRAand that is # mummy # mum .
    GRAwho's it ?
  6. bilingual_eng_Deuchar/861023eg.cha, line 300 · M, 1;3.29
    MOTusually she says clock .
    CHIzzz .
    MOT*MOT: do you want to see some more ?
    MOTlook !
    CHIyyy .
  7. bilingual_eng_Deuchar/861023eg.cha, line 675 · M, 1;3.29
    GRAthank you darling .
    GRAoh !
    GRA*GRA: do you remember the ducks ?
    GRAwhat do the ducks say ?
    CHIyyy .
  8. bilingual_eng_Deuchar/861023eg.cha, line 676 · M, 1;3.29
    GRAoh !
    GRAdo you remember the ducks ?
    GRA*GRA: what do the ducks say ?
    CHIyyy .
    GRAwe saw the ducks didn't we ?
  9. bilingual_eng_Deuchar/861023eg.cha, line 709 · M, 1;3.29
    CHIbow wow .
    GRAyes that's the sheep .
    GRA*GRA: <the lamb says> [//] do you remember what the lamb says ?
    CHIyyy .
    GRApam ["] +...

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_Deuchar5.59
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_Deuchar/861023eg.chaM 1;3.291,609995.59

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. do9 · 100.0%