PHPCLANCHILDES with regular expressions

9 matches in 9 utterances

17.72 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (151 utterances, 508 words searched).

  1. I got a ribbon . MOT · eng_USA_Brown/sarah004.cha, line 53 · Sarah 2;03
  2. I got the ribbon . MOT · eng_USA_Brown/sarah004.cha, line 57 · Sarah 2;03
  3. I like this Bobo . MOT · eng_USA_Brown/sarah004.cha, line 274 · Sarah 2;03
  4. I like Bobo . MOT · eng_USA_Brown/sarah004.cha, line 282 · Sarah 2;03
  5. I think this Bobo's just about worn itself out . MOT · eng_USA_Brown/sarah004.cha, line 320 · Sarah 2;03
  6. yeah # I think Santa_Claus is going to borrow this . MOT · eng_USA_Brown/sarah004.cha, line 482 · Sarah 2;03
  7. I dunno # it's the wheel . MOT · eng_USA_Brown/sarah004.cha, line 544 · Sarah 2;03
  8. I thought the baby was going nie+nie . MOT · eng_USA_Brown/sarah004.cha, line 586 · Sarah 2;03
  9. I think your Mother's out of practice . MOT · eng_USA_Brown/sarah004.cha, line 636 · Sarah 2;03
  1. MOTyours is prettier .
    CHIyours xxx .
    MOT*MOT: I got a ribbon .
    CHIhuh ?
    MOTI got the ribbon .
  2. MOTI got a ribbon .
    CHIhuh ?
    MOT*MOT: I got the ribbon .
    CHIgot yyy .
    CHII got a yyy too .
  3. CHItwo Bobo .
    MOTtwo Bobos # yeah .
    MOT*MOT: I like this Bobo .
    CHIxxx .
    MOTxxx Bobo .
  4. MOTxxx Bobo .
    CHImy Bobo . [+ bch]
    MOT*MOT: I like Bobo .
    CHIhand .
    MOTBobo's hand # yeah .
  5. MOTand what else ?
    CHIxxx .
    MOT*MOT: I think this Bobo's just about worn itself out .
    CHIo:h !
    CHIxxx .
  6. CHIxxx .
    CHIhair .
    MOT*MOT: yeah # I think Santa_Claus is going to borrow this .
    CHIxxx huh .
    MOTok ?
  7. MOTxxx .
    CHIright dere ?
    MOT*MOT: I dunno # it's the wheel .
    CHIyyy xxx .
    MOTyou didn't get it right # did cha ?
  8. MOT0 .
    CHI0 .
    MOT*MOT: I thought the baby was going nie+nie .
    CHIbaby nie+nie .
    CHIyeah .
  9. CHIxxx toes .
    MOToh .
    MOT*MOT: I think your Mother's out of practice .
    MOTthere .
    CHIeyes .

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_Brown17.72
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah004.chaSarah 2;3.225089917.72

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. i9 · 100.0%