PHPCLANCHILDES with regular expressions

14 matches in 14 utterances

3.33 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (656 utterances, 4,199 words searched).

  1. hm ? MOT · bilingual_eng_Deuchar/870205eg.cha, line 104 · M 1;07
  2. hm ? MOT · bilingual_eng_Deuchar/870205eg.cha, line 107 · M 1;07
  3. hm # all right ? MOT · bilingual_eng_Deuchar/870205eg.cha, line 129 · M 1;07
  4. can I put it on # hm ? MOT · bilingual_eng_Deuchar/870205eg.cha, line 134 · M 1;07
  5. hm ? MOT · bilingual_eng_Deuchar/870205eg.cha, line 464 · M 1;07
  6. hm ? MOT · bilingual_eng_Deuchar/870205eg.cha, line 657 · M 1;07
  7. hm ? MOT · bilingual_eng_Deuchar/870205eg.cha, line 658 · M 1;07
  8. hm ? GRA · bilingual_eng_Deuchar/870205eg.cha, line 1088 · M 1;07
  9. hm there he is . GRA · bilingual_eng_Deuchar/870205eg.cha, line 1476 · M 1;07
  10. hm # gone ? GRA · bilingual_eng_Deuchar/870205eg.cha, line 1500 · M 1;07
  11. hm # granny # shall we have a look at a book # see your new books M ? GRA · bilingual_eng_Deuchar/870205eg.cha, line 1624 · M 1;07
  12. hm ? GRA · bilingual_eng_Deuchar/870205eg.cha, line 1711 · M 1;07
  13. mm hm ? GRA · bilingual_eng_Deuchar/870205eg.cha, line 1861 · M 1;07
  14. hm ? GRA · bilingual_eng_Deuchar/870205eg.cha, line 1871 · M 1;07
  1. GRA<show mummy> [>] .
    MOT<put the hat on> [<] .
    MOT*MOT: hm ?
    MOToh it's lovely isn't it ?
    MOToh you've got a runny nose haven't you .
  2. MOToh it's lovely isn't it ?
    MOToh you've got a runny nose haven't you .
    MOT*MOT: hm ?
    MOTit's rather difficult to put on <isn't it> [>] ?
    GRAyes [<] .
  3. MOTmummy's coming to wipe your nose # mummy's coming to wipe your nose .
    MOTthere we are .
    MOT*MOT: hm # all right ?
    MOTthat's better isn't it ?
    MOTcan mummy see your hat ?
  4. MOTcan I put it on ?
    MOTcome over here .
    MOT*MOT: can I put it on # hm ?
    MOTlook # M # come on # come on .
    CHIbo .
  5. MOTit's nice to see Granny, isn't it ?
    CHIyyy .
    MOT*MOT: hm ?
    MOTxxx .
    CHImás .
  6. MOT<did you have a bang> [>] ?
    CHIyyy [<] .
    MOT*MOT: hm ?
    MOThm ?
    MOTdid you have a bang ?
  7. CHIyyy [<] .
    MOThm ?
    MOT*MOT: hm ?
    MOTdid you have a bang ?
    MOTwhat happened on the slide ?
  8. GRAyes [<] that's right .
    CHIyyy .
    GRA*GRA: hm ?
    CHIyyy .
    GRAah yes # who's going in there ?
  9. GRAdig is it ?
    CHIyyy .
    GRA*GRA: hm there he is .
    GRAxxx send him along # wheeee .
    GRAwhat's that no I don't think that'll go on that could go in here .
  10. CHIhm .
    CHIgone .
    GRA*GRA: hm # gone ?
    GRAyes .
    CHIsí .
  11. CHI0.
    CHIgranny [?] .
    GRA*GRA: hm # granny # shall we have a look at a book # see your new books M ?
    CHIyyy .
    GRAwhat's that # did daddy [>] get you these new books ?
  12. CHIyyy .
    CHIxxx .
    GRA*GRA: hm ?
    GRAgoing to push that ?
    GRApush the cart ?
  13. CHIball .
    CHIyyy ?
    GRA*GRA: mm hm ?
    CHIyyy .
    GRAshall we try that hat on ?
  14. GRAshall we try that again ?
    CHI0.
    GRA*GRA: hm ?
    CHIdoor .
    GRAdoor ?

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_Deuchar3.33
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_Deuchar/870205eg.chaM 1;7.124,19914143.33

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. hm14 · 100.0%