PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

11.71 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (88 utterances, 427 words searched).

  1. I don't know if we'll have enough people for all of them . MOT · eng_USA_Bates/nan28.cha, line 121 · Nan 2;04
  2. no # you don't think so ? MOT · eng_USA_Bates/nan28.cha, line 129 · Nan 2;04
  3. you have one with a hat like that # don't you ? MOT · eng_USA_Bates/nan28.cha, line 232 · Nan 2;04
  4. I don't know if it's the next size . MOT · eng_USA_Bates/nan28.cha, line 453 · Nan 2;04
  5. oh # why don't you try ? MOT · eng_USA_Bates/nan28.cha, line 473 · Nan 2;04
  1. CHIyeah .
    MOTthere's a person .
    MOT*MOT: I don't know if we'll have enough people for all of them .
    CHIno !
    MOTno # you don't think so ?
  2. MOTI don't know if we'll have enough people for all of them .
    CHIno !
    MOT*MOT: no # you don't think so ?
    CHIthis one people need in here [?] .
    MOTin there ?
  3. MOTxxx .
    CHIdo_do_do@wp that side .
    MOT*MOT: you have one with a hat like that # don't you ?
    CHIdo_do_do@wp that side .
    MOTthat side ?
  4. CHIyeah .
    MOToh that one fits .
    MOT*MOT: I don't know if it's the next size .
    CHIthis one .
    CHInext size .
  5. MOTyou think that would work ?
    CHIyeah .
    MOT*MOT: oh # why don't you try ?
    CHIthis come .
    MOTthat goes on there # yeah .

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. Nan eng_USA_Bates11.71
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Bates/nan28.chaNan 2;4.4275511.71

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. don't5 · 100.0%