PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

2.29 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (454 utterances, 1,748 words searched).

  1. for lunch . MOT · eng_british_Manchester_II/nic27a.cha, line 103 · Nicole 2;10
  2. are you going to make some soup for lunch ? MOT · eng_british_Manchester_II/nic27a.cha, line 107 · Nicole 2;10
  3. you've invited me up here to do my lunch . MOT · eng_british_Manchester_II/nic27a.cha, line 180 · Nicole 2;10
  4. are you going to do me some lunch ? MOT · eng_british_Manchester_II/nic27a.cha, line 187 · Nicole 2;10
  1. CHIoh .
    MOToh .
    MOT*MOT: for lunch .
    CHIlunch .
    MOTare you going to make some soup for lunch ?
  2. MOTfor lunch .
    CHIlunch .
    MOT*MOT: are you going to make some soup for lunch ?
    CHIdone it now .
    MOToh .
  3. CHIdon't want to .
    MOTwell .
    MOT*MOT: you've invited me up here to do my lunch .
    MOTand now .
    MOTyou're bouncing on the bed .
  4. MOTand now .
    MOTyou're bouncing on the bed .
    MOT*MOT: are you going to do me some lunch ?
    CHII 0have [*] done it .
    MOTwell .

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. Nicole eng_british_Manchester_II2.29
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic27a.chaNicole 2;10.011,748442.29

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. lunch4 · 100.0%