PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

2.81 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (433 utterances, 1,425 words searched).

  1. what (i)s the matter ? MOT · eng_USA_Bloom/allison2.cha, line 385 · Allison 1;07
  2. oh, what (i)s the matter ? MOT · eng_USA_Bloom/allison2.cha, line 422 · Allison 1;07
  3. ah, honey, what (i)s the matter ? MOT · eng_USA_Bloom/allison2.cha, line 427 · Allison 1;07
  4. what (i)s the matter ? MOT · eng_USA_Bloom/allison2.cha, line 1498 · Allison 1;07
  1. eng_USA_Bloom/allison2.cha, line 385 · Allison, 1;7.14
    CHIno .
    CHIno .
    MOT*MOT: what (i)s the matter ?
    CHIup .
    MOTup ?
  2. eng_USA_Bloom/allison2.cha, line 422 · Allison, 1;7.14
    CHIno .
    CHIno .
    MOT*MOT: oh, what (i)s the matter ?
    CHIMommy .
    MOTah, honey, what (i)s the matter ?
  3. eng_USA_Bloom/allison2.cha, line 427 · Allison, 1;7.14
    MOToh, what (i)s the matter ?
    CHIMommy .
    MOT*MOT: ah, honey, what (i)s the matter ?
    CHIup .
    CHIup .
  4. eng_USA_Bloom/allison2.cha, line 1498 · Allison, 1;7.14
    MOTdown .
    CHIma ma ma .
    MOT*MOT: what (i)s the matter ?
    MOTyou want to see what else is in the bag ?
    MOTyou want to see what else is in the bag ?

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_Bloom2.81
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Bloom/allison2.chaAllison 1;7.141,425442.81

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. matter4 · 100.0%