PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

2.67 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (287 utterances, 1,125 words searched).

  1. and there's his mouth . MOT · eng_british_Manchester_II/liz27a.cha, line 584 · Liz 2;08
  2. a mouth . MOT · eng_british_Manchester_II/liz27a.cha, line 772 · Liz 2;08
  3. and a nice big smiley mouth . MOT · eng_british_Manchester_II/liz27a.cha, line 844 · Liz 2;08
  1. eng_british_Manchester_II/liz27a.cha, line 584 · Liz, 2;8.14
    MOTyeah .
    MOThe got his hair cut , didn't he ?
    MOT*MOT: and there's his mouth .
    MOTand he's got a beard , hasn't he ?
    MOTlike that .
  2. eng_british_Manchester_II/liz27a.cha, line 772 · Liz, 2;8.14
    MOTand ears .
    MOTI've only got little ears .
    MOT*MOT: a mouth .
    MOTdo you want to put the eyes in ?
    MOToh: and is that my nose as well ?
  3. eng_british_Manchester_II/liz27a.cha, line 844 · Liz, 2;8.14
    MOTsticky out hair .
    MOTyou've got the hair all round in the right place , haven't you ?
    MOT*MOT: and a nice big smiley mouth .
    CHIit's in there now .
    MOTyeah .

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_II2.67
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/liz27a.chaLiz 2;8.141,125332.67

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. mouth3 · 100.0%