PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

3.26 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (305 utterances, 1,227 words searched).

  1. toes . MEL · eng_USA_Brown/sarah104.cha, line 307 · Sarah 4;04
  2. how many toes ? MEL · eng_USA_Brown/sarah104.cha, line 311 · Sarah 4;04
  3. four toes . MEL · eng_USA_Brown/sarah104.cha, line 324 · Sarah 4;04
  4. and only four toes ? FAT · eng_USA_Brown/sarah104.cha, line 344 · Sarah 4;04
  1. eng_USA_Brown/sarah104.cha, line 307 · Sarah, 4;4.11
    MELtoast like fingers .
    CHIno # toes .
    MEL*MEL: toes .
    CHIone # two .
    MELhow many toes ?
  2. eng_USA_Brown/sarah104.cha, line 311 · Sarah, 4;4.11
    MELtoes .
    CHIone # two .
    MEL*MEL: how many toes ?
    CHIfive a them .
    CHIwhat [//] how many toes I have ?
  3. eng_USA_Brown/sarah104.cha, line 324 · Sarah, 4;4.11
    MELcan you count them ?
    CHIone # two # three # four # that's all I have .
    MEL*MEL: four toes .
    MELhow many fingers do you have ?
    CHIone # two +...
  4. eng_USA_Brown/sarah104.cha, line 344 · Sarah, 4;4.11
    CHIone # two # three # four # five .
    FATright .
    FAT*FAT: and only four toes ?
    CHIdat's what ?
    CHIwhat it looks like ?

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_Brown3.26
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah104.chaSarah 4;4.111,227443.26

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. toes4 · 100.0%