PHPCLANCHILDES with regular expressions

12 matches in 11 utterances

2.69 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (702 utterances, 4,460 words searched).

  1. …ooked> [<] [/] I looked [//] I haven't [/] well I haven't done [//] I did it # a couple of weeks ago # . MOT · bilingual_eng_Deuchar/870129eg.cha, line 240 · M 1;07
  2. did you [//] was it the centile chart that you [/] you tracked her <up ag… HVI · bilingual_eng_Deuchar/870129eg.cha, line 265 · M 1;07
  3. you did that beautifully didn't you ? HVI · bilingual_eng_Deuchar/870129eg.cha, line 577 · M 1;07
  4. what did she do ? MOT · bilingual_eng_Deuchar/870129eg.cha, line 609 · M 1;07
  5. <how did you know she knew> [<] ? MOT · bilingual_eng_Deuchar/870129eg.cha, line 613 · M 1;07
  6. who did ? GRA · bilingual_eng_Deuchar/870129eg.cha, line 770 · M 1;07
  7. yes she weighed exactly the same as Margaret did only Margaret was dead on # date . GRA · bilingual_eng_Deuchar/870129eg.cha, line 908 · M 1;07
  8. what did we <say she was> [>] ? HVI · bilingual_eng_Deuchar/870129eg.cha, line 935 · M 1;07
  9. but I never did . GRA · bilingual_eng_Deuchar/870129eg.cha, line 961 · M 1;07
  10. with my uh # pathetic little research project that I did for finals I [/] I did [//] I had to do some data analysis of my vide… HVI · bilingual_eng_Deuchar/870129eg.cha, line 1187 · M 1;07
  11. …y uh # pathetic little research project that I did for finals I [/] I did [//] I had to do some data analysis of my videos but what I was tryin… HVI · bilingual_eng_Deuchar/870129eg.cha, line 1187 · M 1;07
  12. did you ? MOT · bilingual_eng_Deuchar/870129eg.cha, line 1203 · M 1;07
  1. MOTyes [<] .
    HVIif you've weighed her that <would be useful> [>] .
    MOT*MOT: <and I looked> [<] [/] I looked [//] I haven't [/] well I haven't done [//] I did it # a couple of weeks ago # .
    MOTI um then looked at [/] at the chart of the norms and I noticed that she was about # normal on # head circumferance and um # weight but she was [/] she [//] I think she was shorter than normal.
    GRA<what are those> [<] ?
  2. HVI<mm # mm> [<] .
    CHIabi .
    HVI*HVI: did you [//] was it the centile chart that you [/] you tracked her <up against> [>] ?
    MOTyes [<] [>] .
    GRA<what is it> [<] ?
  3. GRA<going up the stairs> [<] <yes she might> [>] do .
    CHI<oh dear> [<] .
    HVI*HVI: you did that beautifully didn't you ?
    GRApoor Granny # don't throw bricks <at granny> [>] .
    MOT<she says> [<] oh dear a lot when things fall down .
  4. GRAyes there is !
    GRAshe [//] that was clever .
    MOT*MOT: what did she do ?
    GRAshe knew there was one more I hadn't found .
    HVIxxx [>] .
  5. HVIxxx [>] .
    GRA<now I wasn't sure> [<] [>] .
    MOT*MOT: <how did you know she knew> [<] ?
    GRAwell because she went on looking xxx and found it .
    GRAthat's clever M wasn't it ?
  6. MOTthose were for Christmas # Angus [>] gave her one .
    GRAoh [<] .
    GRA*GRA: who did ?
    MOTAngus and [>] [//] # um well actually they're two separate things .
    GRA<oh right> [<] yes .
  7. HVIbut xxx [>] .
    MOT<she was two weeks late> [<] so that could have # made her .
    GRA*GRA: yes she weighed exactly the same as Margaret did only Margaret was dead on # date .
    MOTthat's not true I weighed <seven and xxx > [>] .
    CHIyyy [<] [>] .
  8. HVII must have been looking at that I'm sorry I didn't +...
    GRAthere we are there we are all gone now give it [= tape] back to Jane .
    HVI*HVI: what did we <say she was> [>] ?
    MOT<forty nine> [<] .
    GRAgive it back .
  9. GRAif she's anything like her grandmother she won't ever have any growth spurts I was always promised that I would grow when I was fourteen .
    MOTreally .
    GRA*GRA: but I never did .
    MOTxxx .
    HVIyou're very petite aren't you ?
  10. MOTand I mean I'm only going to be looking at [/] at first at the first at [/] at the stop consonants just those consonants of a particular kind that occur at the beginning of a word so I'm ignoring xxx .
    CHIyyy .
    HVI*HVI: with my uh # pathetic little research project that I did for finals I [/] I did [//] I had to do some data analysis of my videos but what I was trying to find out was # um # what sort of # variable interaction was going on between the parent and the child and # oh I found it so tedious .
    CHIdoor [<] .
    GRAdoor [<] ?
  11. GRA<do you want to go through> [<] ?
    CHI<yyy # yyy> [<] .
    MOT*MOT: did you ?
    HVII mean I spent hours xxx [>] .
    MOTxxx [<] because the transcription <is very> [>] .

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_Deuchar2.69
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_Deuchar/870129eg.chaM 1;7.054,46011122.69

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. did12 · 100.0%