PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

5.08 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (263 utterances, 985 words searched).

  1. what (h)ave you got to eat ? MOT · eng_USA_Brown/sarah038.cha, line 531 · Sarah 2;11
  2. got anything good to eat ? MOT · eng_USA_Brown/sarah038.cha, line 533 · Sarah 2;11
  3. what've you got to eat ? MOT · eng_USA_Brown/sarah038.cha, line 535 · Sarah 2;11
  4. oh # I didn't eat it over here . MOT · eng_USA_Brown/sarah038.cha, line 623 · Sarah 2;11
  5. do I want to eat ? MOT · eng_USA_Brown/sarah038.cha, line 705 · Sarah 2;11
  1. CHImore ?
    MOTno # I don't think so .
    MOT*MOT: what (h)ave you got to eat ?
    MOTgot anything good to eat ?
    MOTwhat've you got to eat ?
  2. MOTno # I don't think so .
    MOTwhat (h)ave you got to eat ?
    MOT*MOT: got anything good to eat ?
    MOTwhat've you got to eat ?
    CHIxxx .
  3. MOTwhat (h)ave you got to eat ?
    MOTgot anything good to eat ?
    MOT*MOT: what've you got to eat ?
    CHIxxx .
    CHIxxx cheese .
  4. MOTjust a little bit .
    CHIeat [/] # eat xxx here .
    MOT*MOT: oh # I didn't eat it over here .
    MOToh # is that good .
    MOTwould you like some ?
  5. CHIpour dis # in # here .
    CHIMummy # you want eat ?
    MOT*MOT: do I want to eat ?
    MOTwell # what've you got ?
    CHImilk .

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_Brown5.08
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah038.chaSarah 2;11.23985555.08

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. eat5 · 100.0%