PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

2.31 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (523 utterances, 1,731 words searched).

  1. how many eyes ? GRA · eng_USA_Brown/sarah017.cha, line 866 · Sarah 2;06
  2. <how man(y)> [/] how many eyes ? GRA · eng_USA_Brown/sarah017.cha, line 870 · Sarah 2;06
  3. two eyes . GRA · eng_USA_Brown/sarah017.cha, line 874 · Sarah 2;06
  4. where's your eyes ? MOT · eng_USA_Brown/sarah017.cha, line 1372 · Sarah 2;06
  1. eng_USA_Brown/sarah017.cha, line 866 · Sarah, 2;6.13
    CHIone head .
    GRAyeah .
    GRA*GRA: how many eyes ?
    CHIeyes .
    GRA<how man(y)> [/] how many eyes ?
  2. eng_USA_Brown/sarah017.cha, line 870 · Sarah, 2;6.13
    GRAhow many eyes ?
    CHIeyes .
    GRA*GRA: <how man(y)> [/] how many eyes ?
    CHItwo eyes .
    GRAtwo eyes .
  3. eng_USA_Brown/sarah017.cha, line 874 · Sarah, 2;6.13
    GRA<how man(y)> [/] how many eyes ?
    CHItwo eyes .
    GRA*GRA: two eyes .
    GRAhow many nose ?
    CHIone nose .
  4. eng_USA_Brown/sarah017.cha, line 1372 · Sarah, 2;6.13
    CHIhere .
    MOTright here ?
    MOT*MOT: where's your eyes ?
    CHIright here .
    MOTwhere's your neck ?

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_Brown2.31
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah017.chaSarah 2;6.131,731442.31

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. eyes4 · 100.0%