PHPCLANCHILDES with regular expressions

10 matches in 10 utterances

6.10 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (325 utterances, 1,639 words searched).

  1. what's it like ? GAI · eng_USA_Brown/sarah117.cha, line 525 · Sarah 4;07
  2. I kept saying # seemed like every time I went to that cabinet # y(ou) know # it was gettin(g) les… MOT · eng_USA_Brown/sarah117.cha, line 975 · Sarah 4;07
  3. how would it be if you looked at everybody like this ? MEL · eng_USA_Brown/sarah117.cha, line 1033 · Sarah 4;07
  4. sometimes I feel like it . MOT · eng_USA_Brown/sarah117.cha, line 1091 · Sarah 4;07
  5. what does it taste like ? GAI · eng_USA_Brown/sarah117.cha, line 1093 · Sarah 4;07
  6. like a sandwich ? GAI · eng_USA_Brown/sarah117.cha, line 1114 · Sarah 4;07
  7. it's just that I don't like em that that short . MOT · eng_USA_Brown/sarah117.cha, line 1145 · Sarah 4;07
  8. yeah # you got legs just like your Mother . MOT · eng_USA_Brown/sarah117.cha, line 1162 · Sarah 4;07
  9. what does it taste like ? GAI · eng_USA_Brown/sarah117.cha, line 1245 · Sarah 4;07
  10. it gets like glue . MOT · eng_USA_Brown/sarah117.cha, line 1352 · Sarah 4;07
  1. eng_USA_Brown/sarah117.cha, line 525 · Sarah, 4;7.11
    GAIwhen do you go there ?
    CHIevery day .
    GAI*GAI: what's it like ?
    CHIit's um # um # what's that now # the Children_Haven .
    GAIwhat do you do there ?
  2. eng_USA_Brown/sarah117.cha, line 975 · Sarah, 4;7.11
    MOT(a)n(d) puttin(g) em way over here # down (a)n(d) behind ?
    MOTand I didn't know <they were> [//] # y(ou) know # that they were there .
    MOT*MOT: I kept saying # seemed like every time I went to that cabinet # y(ou) know # it was gettin(g) less (a)n(d) less dishes .
    MOTthen finally the other day I found them .
    CHIyeah .
  3. eng_USA_Brown/sarah117.cha, line 1033 · Sarah, 4;7.11
    MOThow tall are you ?
    MELsee how tall you'd have to be if you were as tall as me .
    MEL*MEL: how would it be if you looked at everybody like this ?
    MOThow tall are you ?
    MELfive ten .
  4. eng_USA_Brown/sarah117.cha, line 1091 · Sarah, 4;7.11
    CHIit's a # devil dog .
    MELpeople aren't supposed to start shrinking (un)till their old .
    MOT*MOT: sometimes I feel like it .
    GAIwhat does it taste like ?
    CHIit tastes fine .
  5. eng_USA_Brown/sarah117.cha, line 1093 · Sarah, 4;7.11
    MELpeople aren't supposed to start shrinking (un)till their old .
    MOTsometimes I feel like it .
    GAI*GAI: what does it taste like ?
    CHIit tastes fine .
    CHIchocolate cream # milk all over it .
  6. eng_USA_Brown/sarah117.cha, line 1114 · Sarah, 4;7.11
    GAIand a top on it ?
    CHImmhm .
    GAI*GAI: like a sandwich ?
    CHIyeah .
    CHIsee now ?
  7. eng_USA_Brown/sarah117.cha, line 1145 · Sarah, 4;7.11
    MELI should think you'd have to take everything in at the waist (a)n(d) all .
    MOTno # it's not the waist .
    MOT*MOT: it's just that I don't like em that that short .
    MOTI hate it when you sit down and they go up to here .
    MELyeah .
  8. eng_USA_Brown/sarah117.cha, line 1162 · Sarah, 4;7.11
    MOTit's alright if you got good legs # but not if you've got bony knees # y(ou) know # and you're knock+kneed .
    CHIdo I got bony knees ?
    MOT*MOT: yeah # you got legs just like your Mother .
    GAIyou have beautiful legs .
    CHIno xxx my legs xxx at Ann_Marie's .
  9. eng_USA_Brown/sarah117.cha, line 1245 · Sarah, 4;7.11
    CHIy(ou) want some ?
    GAIno # thank+you .
    GAI*GAI: what does it taste like ?
    CHItastes like # devil dog .
    MOTyou asked for that one .
  10. eng_USA_Brown/sarah117.cha, line 1352 · Sarah, 4;7.11
    GAIpowder .
    MOTit doesn't .
    MOT*MOT: it gets like glue .
    MOToh # it's awful .
    GAIwhat were ya tryin(g) to do # Sarah # with that Dutch Cleanser ?

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. Sarah eng_USA_Brown6.10
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah117.chaSarah 4;7.111,63910106.10

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. like10 · 100.0%