PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

2.13 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (381 utterances, 1,406 words searched).

  1. it means coffee . MOT · eng_USA_Brown/sarah080.cha, line 591 · Sarah 3;10
  2. more coffee ? MOT · eng_USA_Brown/sarah080.cha, line 726 · Sarah 3;10
  3. xxx want some coffee ? MOT · eng_USA_Brown/sarah080.cha, line 1331 · Sarah 3;10
  1. eng_USA_Brown/sarah080.cha, line 591 · Sarah, 3;10.01
    FATwhat's a bond ?
    CHIhe mean # um coffee .
    MOT*MOT: it means coffee .
    CHIpeekaboo # I see you .
    MOTcome on .
  2. eng_USA_Brown/sarah080.cha, line 726 · Sarah, 3;10.01
    CHIlittle finger # see my big finger # see my thumb # see my # foot # see my # apple # uh +...
    CHIfirst # see my mouth # see my eye # see my # nose .
    MOT*MOT: more coffee ?
    CHIsee my foot .
    FATdid [/] # did you look in the mirror yet ?
  3. eng_USA_Brown/sarah080.cha, line 1331 · Sarah, 3;10.01
    MOToh my baby .
    CHIxxx .
    MOT*MOT: xxx want some coffee ?
    MOTwhose baby are you ?
    CHIum .

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_Brown2.13
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah080.chaSarah 3;10.011,406332.13

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. coffee3 · 100.0%