PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

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

  1. just the same ? MEL · eng_USA_Brown/sarah117.cha, line 507 · Sarah 4;07
  2. just make it . MOT · eng_USA_Brown/sarah117.cha, line 1066 · Sarah 4;07
  3. it's just that I don't like em that that short . MOT · eng_USA_Brown/sarah117.cha, line 1145 · Sarah 4;07
  4. yeah # you got legs just like your Mother . MOT · eng_USA_Brown/sarah117.cha, line 1162 · Sarah 4;07
  5. (a)n(d) just let it # y(ou) know # xxx . MOT · eng_USA_Brown/sarah117.cha, line 1325 · Sarah 4;07
  1. eng_USA_Brown/sarah117.cha, line 507 · Sarah, 4;7.11
    MELcan you do it ?
    CHIuhhuh .
    MEL*MEL: just the same ?
    MELthat was a good way to do it .
    GAIwhy do you do that # Sarah ?
  2. eng_USA_Brown/sarah117.cha, line 1066 · Sarah, 4;7.11
    MELhow tall are you ?
    MOTfive one .
    MOT*MOT: just make it .
    CHIdevil dog .
    CHIanybody want a hot dog ?
  3. 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 .
  4. 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 .
  5. eng_USA_Brown/sarah117.cha, line 1325 · Sarah, 4;7.11
    MOTI said +"/.
    MOT+" oh gee # I'll let it dry and then I'll scrape it up .
    MOT*MOT: (a)n(d) just let it # y(ou) know # xxx .
    MOTI thought that was the logical thing to do .
    MOTbut that doesn't work .

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_Brown3.05
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah117.chaSarah 4;7.111,639553.05

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. just5 · 100.0%