PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

2.04 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (386 utterances, 1,470 words searched).

  1. but Spot's chewed some of them to bits , hasn't she ? MOT · eng_british_Manchester_II/liz09b.cha, line 633 · Liz 2;02
  2. what's Spot chewed ? INV · eng_british_Manchester_II/liz09b.cha, line 830 · Liz 2;02
  3. she chewed your jigsaw ? INV · eng_british_Manchester_II/liz09b.cha, line 834 · Liz 2;02
  1. eng_british_Manchester_II/liz09b.cha, line 633 · Liz, 2;2.02
    CHIsix pieces .
    MOTwell there were .
    MOT*MOT: but Spot's chewed some of them to bits , hasn't she ?
    CHIyeah .
    MOToh there you go .
  2. eng_british_Manchester_II/liz09b.cha, line 830 · Liz, 2;2.02
    CHISpot chewed it .
    CHISpot chewed it .
    INV*INV: what's Spot chewed ?
    CHIjigsaw .
    INVshe chewed your jigsaw ?
  3. eng_british_Manchester_II/liz09b.cha, line 834 · Liz, 2;2.02
    INVwhat's Spot chewed ?
    CHIjigsaw .
    INV*INV: she chewed your jigsaw ?
    INVthat's naughty , isn't it ?
    CHIta .

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_II2.04
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/liz09b.chaLiz 2;2.021,470332.04

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. chewed3 · 100.0%