PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

7.17 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (113 utterances, 558 words searched).

  1. ok # here's one . MOT · eng_USA_Bates/vicki28.cha, line 341 · Vicki 2;04
  2. this one's like a cup [?] . MOT · eng_USA_Bates/vicki28.cha, line 387 · Vicki 2;04
  3. put that one in ? MOT · eng_USA_Bates/vicki28.cha, line 391 · Vicki 2;04
  4. put that one in for me ? MOT · eng_USA_Bates/vicki28.cha, line 393 · Vicki 2;04
  1. MOTwalk (th)em in ?
    MOTwan(t) (t)a take (th)em in ?
    MOT*MOT: ok # here's one .
    MOTshe needs to go in .
    CHI0 .
  2. MOTok ?
    MOTok # we better take the food in # it might get wet .
    MOT*MOT: this one's like a cup [?] .
    MOTput that one in ?
    MOTput that one in for me ?
  3. MOTok # we better take the food in # it might get wet .
    MOTthis one's like a cup [?] .
    MOT*MOT: put that one in ?
    MOTput that one in for me ?
    CHIyyy !
  4. MOTthis one's like a cup [?] .
    MOTput that one in ?
    MOT*MOT: put that one in for me ?
    CHIyyy !
    MOTall the rain's gone !

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. Vicki eng_USA_Bates7.17
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Bates/vicki28.chaVicki 2;4.558447.17

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. one4 · 100.0%