PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

2.67 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (378 utterances, 1,497 words searched).

  1. who brought you these ? FAT · eng_USA_Brown/sarah029.cha, line 301 · Sarah 2;09
  2. and do you know who uses these ? FAT · eng_USA_Brown/sarah029.cha, line 737 · Sarah 2;09
  3. can I throw all these out ? FAT · eng_USA_Brown/sarah029.cha, line 1306 · Sarah 2;09
  4. do you play with all these toys ? FAT · eng_USA_Brown/sarah029.cha, line 1316 · Sarah 2;09
  1. eng_USA_Brown/sarah029.cha, line 301 · Sarah, 2;9.14
    FATwell # can't you let me use it ?
    CHI0 .
    FAT*FAT: who brought you these ?
    CHIshovel .
    FATno # who brought them ?
  2. eng_USA_Brown/sarah029.cha, line 737 · Sarah, 2;9.14
    FATa hoe .
    CHIa hoe .
    FAT*FAT: and do you know who uses these ?
    CHI0 .
    FATwho ?
  3. eng_USA_Brown/sarah029.cha, line 1306 · Sarah, 2;9.14
    FATwhat ?
    CHII see her .
    FAT*FAT: can I throw all these out ?
    FATwhy ?
    CHIxxx .
  4. eng_USA_Brown/sarah029.cha, line 1316 · Sarah, 2;9.14
    FAThuh ?
    CHIxxx .
    FAT*FAT: do you play with all these toys ?
    CHI0 .
    FATyou do ?

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_Brown2.67
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah029.chaSarah 2;9.141,497442.67

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. these4 · 100.0%