PHPCLANCHILDES with regular expressions

9 matches in 9 utterances

3.39 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (506 utterances, 2,657 words searched).

  1. mummy's here as well . MOT · bilingual_eng_Deuchar/870402eg.cha, line 34 · M 1;09
  2. has she noticed that as well ? MOT · bilingual_eng_Deuchar/870402eg.cha, line 63 · M 1;09
  3. well it's got a white face and a black body . MOT · bilingual_eng_Deuchar/870402eg.cha, line 122 · M 1;09
  4. yes you're doing very well . MOT · bilingual_eng_Deuchar/870402eg.cha, line 234 · M 1;09
  5. well # stop spitting then . MOT · bilingual_eng_Deuchar/870402eg.cha, line 881 · M 1;09
  6. that goes well # doesn't it ? GRA · bilingual_eng_Deuchar/870402eg.cha, line 1198 · M 1;09
  7. well is not really a woof . GRA · bilingual_eng_Deuchar/870402eg.cha, line 1419 · M 1;09
  8. well that must be the end of the tape I should think # let me just check . MOT · bilingual_eng_Deuchar/870402eg.cha, line 1570 · M 1;09
  9. well it's a shame . GRA · bilingual_eng_Deuchar/870402eg.cha, line 1592 · M 1;09
  1. GRAoh yes we like Natty's book don't we # we like Natty's book very much # now we must turn you round <mustn't we> [>] ?
    CHImummy [<] .
    MOT*MOT: mummy's here as well .
    GRAyes # let sit between <granny and mummy> [>] .
    CHI<mummy no> [<] .
  2. GRAJoshua [>] # she's called him Joshua # hasn't she ?
    MOTyes [<] .
    MOT*MOT: has she noticed that as well ?
    MOTyes she did # yes # she did that with us .
    CHIducha .
  3. MOTpan # oh this is a panda # <this looks a bit like a panda> [<] .
    GRAoh is it a panda ?
    MOT*MOT: well it's got a white face and a black body .
    CHIpeople .
    GRApeople xxx .
  4. MOTyes .
    CHIyyy .
    MOT*MOT: yes you're doing very well .
    GRA0.
    GRAmm .
  5. CHIbook .
    CHIoh dear book .
    MOT*MOT: well # stop spitting then .
    CHIxxx .
    GRA0.
  6. GRAthat [//] that's good .
    CHIgood .
    GRA*GRA: that goes well # doesn't it ?
    CHIotro one .
    CHIone oh dear one [/] one .
  7. GRAcow # that's right .
    CHIwoof woof .
    GRA*GRA: well is not really a woof .
    MOTno # it does not say [//] it says moo # what are those ?
    MOTmoo .
  8. MOTyes # daddy .
    CHIyyy .
    MOT*MOT: well that must be the end of the tape I should think # let me just check .
    CHItape .
    GRAtape .
  9. CHI<mummy mummy> [/] mummy .
    MOTyes I think it is probably xxx I forgot to put it on at the beginning you know ?
    GRA*GRA: well it's a shame .
    MOTthe tape # that's why I did at the end .
    CHImummy .

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_Deuchar3.39
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_Deuchar/870402eg.chaM 1;9.092,657993.39

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. well9 · 100.0%