PHPCLANCHILDES with regular expressions

9 matches in 9 utterances

33.46 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (87 utterances, 269 words searched).

  1. what's this ? MOT · eng_USA_Bates/olivia20.cha, line 18 · Olivia 1;08
  2. what's this ? MOT · eng_USA_Bates/olivia20.cha, line 31 · Olivia 1;08
  3. what's this ? MOT · eng_USA_Bates/olivia20.cha, line 40 · Olivia 1;08
  4. do you know what this is ? MOT · eng_USA_Bates/olivia20.cha, line 43 · Olivia 1;08
  5. what's this ? MOT · eng_USA_Bates/olivia20.cha, line 86 · Olivia 1;08
  6. what do you want to do with them ? MOT · eng_USA_Bates/olivia20.cha, line 180 · Olivia 1;08
  7. what happened ? MOT · eng_USA_Bates/olivia20.cha, line 276 · Olivia 1;08
  8. what are these ? MOT · eng_USA_Bates/olivia20.cha, line 505 · Olivia 1;08
  9. what are they ? MOT · eng_USA_Bates/olivia20.cha, line 512 · Olivia 1;08
  1. MOT0 [=! makes soft car noises] .
    CHI0 .
    MOT*MOT: what's this ?
    CHIuh # chicken ?
    MOTchicken ?
  2. MOTchicken ?
    CHIchicken !
    MOT*MOT: what's this ?
    CHIuh dog # yyy !
    CHIwhy ?
  3. CHIuh dog # yyy !
    CHIwhy ?
    MOT*MOT: what's this ?
    MOTdo you know what this is ?
    CHIchicken .
  4. CHIwhy ?
    MOTwhat's this ?
    MOT*MOT: do you know what this is ?
    CHIchicken .
    MOTyeah # it's a chicken but it's a rooster [!] .
  5. MOTtwo doggies and two chickens ?
    CHItwo .
    MOT*MOT: what's this ?
    ANNchair ?
    MOTchair ?
  6. MOTyeah here's some more people .
    CHImore people ?
    MOT*MOT: what do you want to do with them ?
    CHIuh boy !
    MOThere # let's set up the table .
  7. CHI0 .
    MOToh !
    MOT*MOT: what happened ?
    CHIsnap yyy .
    MOToh !
  8. MOTshe'll be back in a minute .
    MOTlook !
    MOT*MOT: what are these ?
    CHIball !
    MOTwhat are they ?
  9. MOTwhat are these ?
    CHIball !
    MOT*MOT: what are they ?

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. Olivia eng_USA_Bates33.46
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Bates/olivia20.chaOlivia 1;8.2699933.46

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. what9 · 100.0%