PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

3.15 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (423 utterances, 1,587 words searched).

  1. must've lasted yyy whole day . MOT · eng_USA_Brown/sarah075.cha, line 186 · Sarah 3;08
  2. someone must've let him out . FAT · eng_USA_Brown/sarah075.cha, line 528 · Sarah 3;08
  3. he must've bumped into Sheba . MOT · eng_USA_Brown/sarah075.cha, line 1099 · Sarah 3;08
  4. he must've bumped into # Shiva . MOT · eng_USA_Brown/sarah075.cha, line 1108 · Sarah 3;08
  5. he must've seen him . MOT · eng_USA_Brown/sarah075.cha, line 1118 · Sarah 3;08
  1. eng_USA_Brown/sarah075.cha, line 186 · Sarah, 3;8.27
    MOTxxx +...
    CHItree +...
    MOT*MOT: must've lasted yyy whole day .
    CHI<four # five # six # seven # eight # tied # ten # four # five six # seven # eight # nine # ten> [=! counting] . [+ bch]
    CHIready or not here I come .
  2. eng_USA_Brown/sarah075.cha, line 528 · Sarah, 3;8.27
    MOTxxx .
    CHI<hop # hop # hop> [/] # hop .
    FAT*FAT: someone must've let him out .
    CHI0 .
    MOTstay here now .
  3. eng_USA_Brown/sarah075.cha, line 1099 · Sarah, 3;8.27
    FATit wasn't Chester # was it ?
    MOTno: .
    MOT*MOT: he must've bumped into Sheba .
    CHIwho's that ?
    MOTI don't know .
  4. eng_USA_Brown/sarah075.cha, line 1108 · Sarah, 3;8.27
    MOTI don't know .
    FATI bet he did .
    MOT*MOT: he must've bumped into # Shiva .
    MOTguy with his coat .
    MOThe went into one building (a)n(d) a cousin over there has a big black Shepherd .
  5. eng_USA_Brown/sarah075.cha, line 1118 · Sarah, 3;8.27
    MOThe went into one building (a)n(d) a cousin over there has a big black Shepherd .
    MOTlooks like a wolf .
    MOT*MOT: he must've seen him .
    MOThe come down those stairs fast .
    FATI'm tired .

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_Brown3.15
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah075.chaSarah 3;8.271,587553.15

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. must've5 · 100.0%