PHPCLANCHILDES with regular expressions

9 matches in 8 utterances

5.52 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (439 utterances, 1,629 words searched).

  1. no ? MOT · eng_USA_Bloom/allison3.cha, line 59 · Allison 1;08
  2. no ? MOT · eng_USA_Bloom/allison3.cha, line 222 · Allison 1;08
  3. no, we don't eat with a coat on, do we ? MOT · eng_USA_Bloom/allison3.cha, line 658 · Allison 1;08
  4. no, no, not for a snack . MOT · eng_USA_Bloom/allison3.cha, line 668 · Allison 1;08
  5. no, no, not for a snack . MOT · eng_USA_Bloom/allison3.cha, line 668 · Allison 1;08
  6. no ? MOT · eng_USA_Bloom/allison3.cha, line 834 · Allison 1;08
  7. no . MOT · eng_USA_Bloom/allison3.cha, line 874 · Allison 1;08
  8. no ? MOT · eng_USA_Bloom/allison3.cha, line 1863 · Allison 1;08
  9. no ? MOT · eng_USA_Bloom/allison3.cha, line 1891 · Allison 1;08
  1. MOTare you ready to take your coat off ?
    CHIno .
    MOT*MOT: no ?
    MOTlet's unzipper it, it (i)s very warm .
    CHIno !
  2. MOTwould you like to play with some toys ?
    CHIno .
    MOT*MOT: no ?
    MOTwhat would you like to do ?
    MOThmm ?
  3. MOTlet's take your coat off .
    CHI0 .
    MOT*MOT: no, we don't eat with a coat on, do we ?
    MOTyou have to take your coat off .
    CHIno .
  4. MOTyou have to take your coat off .
    CHIno .
    MOT*MOT: no, no, not for a snack .
    MOTlet's take your coat off .
    MOTyou can do it all by yourself .
  5. MOToh, I thought you wanted to have a snack .
    CHIno .
    MOT*MOT: no ?
    MOTok .
    MOTwe'll have a snack later .
  6. MOTMommy'll let you have juice, but you have to take your coat off .
    MOTwe don't have a snack with our coats on .
    MOT*MOT: no .
    CHIzip .
    CHIzip .
  7. MOTsee what else is in Allison's bag .
    MOThmm ?
    MOT*MOT: no ?
    MOTare you tired ?
    CHIrest .
  8. MOTwould you like to see what else is is in your bag ?
    CHIno .
    MOT*MOT: no ?
    CHIbox .
    CHIbox .

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. Allison eng_USA_Bloom5.52
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Bloom/allison3.chaAllison 1;8.211,629895.52

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. no9 · 100.0%