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. there's a person . MOT · eng_USA_Bates/nan28.cha, line 117 · Nan 2;04
  2. there's one more . MOT · eng_USA_Bates/nan28.cha, line 224 · Nan 2;04
  3. and there's another yellow . MOT · eng_USA_Bates/nan28.cha, line 490 · Nan 2;04
  4. yeah # there's lots of yellows . MOT · eng_USA_Bates/nan28.cha, line 498 · Nan 2;04
  5. there's another one . MOT · eng_USA_Bates/nan28.cha, line 503 · Nan 2;04
  1. MOTshould we keep putting people in them ?%mor: v:aux|should pro|we v|keep part|put-PROG n|person&PL prep|in pro|them ?
    CHIyeah .
    MOT*MOT: there's a person .
    MOTI don't know if we'll have enough people for all of them .
    CHIno !
  2. MOThow many more people ?
    CHIthey come in here .
    MOT*MOT: there's one more .
    MOTxxx .
    CHIdo_do_do@wp that side .
  3. MOTtwo yellow ones # huh ?
    CHIxxx .
    MOT*MOT: and there's another yellow .
    CHIthat is another yellow .
    MOTyeah # there's lots of yellows .
  4. MOTand there's another yellow .
    CHIthat is another yellow .
    MOT*MOT: yeah # there's lots of yellows .
    CHIthis .
    MOTthere's another one .
  5. MOTyeah # there's lots of yellows .
    CHIthis .
    MOT*MOT: there's another one .
    CHIthis another one .
    MOTyeah .

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. there's5 · 100.0%