PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

2.28 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (343 utterances, 1,317 words searched).

  1. thank you darling . MOT · eng_british_Manchester_II/liz15a.cha, line 44 · Liz 2;04
  2. thank you darling . MOT · eng_british_Manchester_II/liz15a.cha, line 951 · Liz 2;04
  3. you're tidying up , are you darling ? MOT · eng_british_Manchester_II/liz15a.cha, line 1370 · Liz 2;04
  1. eng_british_Manchester_II/liz15a.cha, line 44 · Liz, 2;4.03
    MOTright .
    MOTstand up please .
    MOT*MOT: thank you darling .
    MOTthat's very very good .
    MOTthere you are .
  2. eng_british_Manchester_II/liz15a.cha, line 951 · Liz, 2;4.03
    MOToh dear .
    CHIyou want it [//] the drink .
    MOT*MOT: thank you darling .
    MOTmmm .
    CHIyou want some more ?
  3. eng_british_Manchester_II/liz15a.cha, line 1370 · Liz, 2;4.03
    MOTwww .
    CHII 0am [*] tidying up .
    MOT*MOT: you're tidying up , are you darling ?
    CHIyeah .
    MOToh that's great .

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. Liz eng_british_Manchester_II2.28
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/liz15a.chaLiz 2;4.031,317332.28

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. darling3 · 100.0%