PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

3.83 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (424 utterances, 1,307 words searched).

  1. well, she went to answer the telephone, darling . MOT · eng_USA_Bloom/allison1.cha, line 1229 · Allison 1;04
  2. well, why don't you give her a kiss ? MOT · eng_USA_Bloom/allison1.cha, line 1238 · Allison 1;04
  3. well, I'm sorry . MOT · eng_USA_Bloom/allison1.cha, line 1293 · Allison 1;04
  4. well, that's all . MOT · eng_USA_Bloom/allison1.cha, line 1724 · Allison 1;04
  5. well, I'll put this cow on this chair . MOT · eng_USA_Bloom/allison1.cha, line 2207 · Allison 1;04
  1. MOTwhere's the baby ?
    CHI0 .
    MOT*MOT: well, she went to answer the telephone, darling .
    MOTis the baby still crying ?
    CHIyyy .
  2. MOTis the baby still crying ?
    CHIyyy .
    MOT*MOT: well, why don't you give her a kiss ?
    CHI0 .
    MOToh, she's a happy baby .
  3. MOTno .
    CHI0 [=! cries] .
    MOT*MOT: well, I'm sorry .
    MOTcan't play with the microphone .
    CHIno .
  4. CHIno .
    CHIno wideh@c .
    MOT*MOT: well, that's all .
    MOT<we're> [/] we're not gonna play with it anymore .
    MOTwe're not gonna play with it anymore .
  5. MOTsit ?
    MOTok .
    MOT*MOT: well, I'll put this cow on this chair .
    CHI0 .
    MOT0 .

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_Bloom3.83
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Bloom/allison1.chaAllison 1;4.211,307553.83

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. well5 · 100.0%