PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

3.53 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (545 utterances, 2,266 words searched).

  1. let me see . MOT · eng_USA_Brown/sarah061.cha, line 80 · Sarah 3;05
  2. xxx let go . MOT · eng_USA_Brown/sarah061.cha, line 170 · Sarah 3;05
  3. let me see that . MOT · eng_USA_Brown/sarah061.cha, line 612 · Sarah 3;05
  4. let me see that . MOT · eng_USA_Brown/sarah061.cha, line 765 · Sarah 3;05
  5. let me see . MOT · eng_USA_Brown/sarah061.cha, line 833 · Sarah 3;05
  6. let me see . MOT · eng_USA_Brown/sarah061.cha, line 1388 · Sarah 3;05
  7. let me see . MOT · eng_USA_Brown/sarah061.cha, line 1394 · Sarah 3;05
  8. let me see . MOT · eng_USA_Brown/sarah061.cha, line 1400 · Sarah 3;05
  1. MOTlast year it was a little ten cent bug .
    CHIMommy # I don('t) know where my other puzzle .
    MOT*MOT: let me see .
    MOTwhich puzzle was that ?
    MOToh I don't know .
  2. MOTit's stuck ?
    CHIyeah .
    MOT*MOT: xxx let go .
    CHII pick it .
    CHIthere .
  3. CHIthis is s(h)ampoo ?
    MOTnot that .
    MOT*MOT: let me see that .
    CHIawoh .
    CHIrip it .
  4. CHIMommy # this get .
    MOToh # that's got a handle .
    MOT*MOT: let me see that .
    MOTI didn't look at these things .
    CHIMommy # bring another +/.
  5. MOTmmhm .
    CHI<why the Christmas tree goin(g)> [//] I smell this .
    MOT*MOT: let me see .
    CHIxxx .
    MOTdon't squeeze it .
  6. MOTwell # bring it out here and I'll look .
    CHIhe xxx .
    MOT*MOT: let me see .
    CHIin here # Mommy ?
    MOTmaybe .
  7. CHIin here # Mommy ?
    MOTmaybe .
    MOT*MOT: let me see .
    CHImaybe see .
    CHII think it's in here .
  8. CHImaybe see .
    CHII think it's in here .
    MOT*MOT: let me see .
    CHII think it's in here # Mommy .
    CHIhuh ?

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_Brown3.53
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah061.chaSarah 3;5.072,266883.53

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. let8 · 100.0%