PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

2.60 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (301 utterances, 1,154 words searched).

  1. thank you love . MOT · eng_british_Manchester_II/liz18a.cha, line 130 · Liz 2;05
  2. thank you very much . MOT · eng_british_Manchester_II/liz18a.cha, line 965 · Liz 2;05
  3. thank you . MOT · eng_british_Manchester_II/liz18a.cha, line 1036 · Liz 2;05
  1. eng_british_Manchester_II/liz18a.cha, line 130 · Liz, 2;5.01
    CHIyeah .
    MOTyeah .
    MOT*MOT: thank you love .
    MOT<we must> [//] we'll have to put it up on the wall next+door , won't [: willn't] we ?
    MOTeh ?
  2. eng_british_Manchester_II/liz18a.cha, line 965 · Liz, 2;5.01
    MOToh am I the mountains , am I ?
    CHIyou 0are [*] a mountain .
    MOT*MOT: thank you very much .
    MOThe's hiding now .
    MOToh he's clever , isn't he ?
  3. eng_british_Manchester_II/liz18a.cha, line 1036 · Liz, 2;5.01
    CHIgo on .
    MOTI think I need to wind him up again sweetheart .
    MOT*MOT: thank you .
    CHIlook .
    MOTwhat's that ?

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_II2.60
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/liz18a.chaLiz 2;5.011,154332.60

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. thank3 · 100.0%