PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

3.25 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (625 utterances, 2,154 words searched).

  1. can you count those ? MOT · eng_USA_Valian/03a.cha, line 1303 · 03A 2;01
  2. can you count your fingers ? MOT · eng_USA_Valian/03a.cha, line 1305 · 03A 2;01
  3. why don't you count them while you xx them down . MOT · eng_USA_Valian/03a.cha, line 1343 · 03A 2;01
  4. why don't you count them ? MOT · eng_USA_Valian/03a.cha, line 1346 · 03A 2;01
  5. count them ? MOT · eng_USA_Valian/03a.cha, line 1348 · 03A 2;01
  6. why don't you count for Mummy . MOT · eng_USA_Valian/03a.cha, line 1362 · 03A 2;01
  7. yeah, he's the count . INV · eng_USA_Valian/03a.cha, line 1674 · 03A 2;01
  1. CHIone .
    CHIone two three !
    MOT*MOT: can you count those ?
    MOTcan you count your fingers ?
    CHIone, two, three, four, five .
  2. CHIone two three !
    MOTcan you count those ?
    MOT*MOT: can you count your fingers ?
    CHIone, two, three, four, five .
    MOTvery good .
  3. INVwhat's this ?
    INVyou know who [=? what] that is ?
    MOT*MOT: why don't you count them while you xx them down .
    MOTwhy don't you count them ?
    MOTcount them ?
  4. INVyou know who [=? what] that is ?
    MOTwhy don't you count them while you xx them down .
    MOT*MOT: why don't you count them ?
    MOTcount them ?
    CHIone two three .
  5. MOTwhy don't you count them while you xx them down .
    MOTwhy don't you count them ?
    MOT*MOT: count them ?
    CHIone two three .
    MOTxx .
  6. MOTwhat's that ?
    MOTone +//.
    MOT*MOT: why don't you count for Mummy .
    CHIxxx .
    INVdo you need to blow your nose again ?
  7. MOTwho is this person ?
    CHIcount .
    INV*INV: yeah, he's the count .
    MOTwho's back here ?
    CHIthe Cookie Monster .

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. 03A eng_USA_Valian3.25
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Valian/03a.cha03A 2;1.232,154773.25

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. count7 · 100.0%