PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

3.34 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (366 utterances, 1,496 words searched).

  1. +" nineteen twelve ? MOT · eng_USA_Brown/adam06.cha, line 515 · Adam 2;05
  2. +" nineteen twelve ? MOT · eng_USA_Brown/adam06.cha, line 778 · Adam 2;05
  3. Cromer # nineteen twelve # huh ? MOT · eng_USA_Brown/adam06.cha, line 794 · Adam 2;05
  4. can you tell me a story about nineteen twelve ? MOT · eng_USA_Brown/adam06.cha, line 972 · Adam 2;05
  5. what is that # nineteen twelve ? MOT · eng_USA_Brown/adam06.cha, line 1205 · Adam 2;05
  1. CHII night+night # twelve .
    CHInineteen twelve .
    MOT*MOT: +" nineteen twelve ?
    CHIyeah .
    CHIcowboy # (s)pill milk # wear boot .
  2. CHInineteen twelve .
    MOTwhere did you get that +"/.
    MOT*MOT: +" nineteen twelve ?
    MOTwhat does that mean ?
    CHInineteen twelve nineteen twelve nineteen twelve nineteen twelve nineteen twelve .
  3. CHInineteen twelve # huh ?
    MOTtalking to Mr .
    MOT*MOT: Cromer # nineteen twelve # huh ?
    CHIdoggie xxx .
    RICwhere's the label ?
  4. CHInineteen # twelve .
    CHInineteen # twelve .
    MOT*MOT: can you tell me a story about nineteen twelve ?
    CHInineteen twelve .
    CHII fell down .
  5. MOTwww .
    CHInineteen twelve .
    MOT*MOT: what is that # nineteen twelve ?
    CHInineteen twelve .
    CHInineteen twelve # huh ?

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. Adam eng_USA_Brown3.34
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/adam06.chaAdam 2;5.121,496553.34

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. twelve5 · 100.0%