PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

3.24 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (385 utterances, 1,236 words searched).

  1. how many heads have you got ? MOT · eng_USA_Brown/sarah020.cha, line 912 · Sarah 2;07
  2. you haven't got two heads . MOT · eng_USA_Brown/sarah020.cha, line 917 · Sarah 2;07
  3. how many heads ? MOT · eng_USA_Brown/sarah020.cha, line 920 · Sarah 2;07
  4. how many heads have you got ? MOT · eng_USA_Brown/sarah020.cha, line 922 · Sarah 2;07
  1. eng_USA_Brown/sarah020.cha, line 912 · Sarah, 2;7.05
    MOTthat's right .
    CHIears .
    MOT*MOT: how many heads have you got ?
    CHItwo head .
    MOTyou haven't got two heads .
  2. eng_USA_Brown/sarah020.cha, line 917 · Sarah, 2;7.05
    MOThow many heads have you got ?
    CHItwo head .
    MOT*MOT: you haven't got two heads .
    MOThow many heads ?
    MOThow many heads have you got ?
  3. eng_USA_Brown/sarah020.cha, line 920 · Sarah, 2;7.05
    CHItwo head .
    MOTyou haven't got two heads .
    MOT*MOT: how many heads ?
    MOThow many heads have you got ?
    CHIxxx .
  4. eng_USA_Brown/sarah020.cha, line 922 · Sarah, 2;7.05
    MOTyou haven't got two heads .
    MOThow many heads ?
    MOT*MOT: how many heads have you got ?
    CHIxxx .
    MOTone head .

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_Brown3.24
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah020.chaSarah 2;7.051,236443.24

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. heads4 · 100.0%