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. he got his hair cut , didn't he ? MOT · eng_british_Manchester_II/liz27a.cha, line 581 · Liz 2;08
  2. and there's his mouth . MOT · eng_british_Manchester_II/liz27a.cha, line 584 · Liz 2;08
  3. you've done his nice eyes , haven't you ? MOT · eng_british_Manchester_II/liz27a.cha, line 601 · Liz 2;08
  1. eng_british_Manchester_II/liz27a.cha, line 581 · Liz, 2;8.14
    CHIhave you got his hair cut ?
    MOTyeah .
    MOT*MOT: he got his hair cut , didn't he ?
    MOTand there's his mouth .
    MOTand he's got a beard , hasn't he ?
  2. 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 .
  3. eng_british_Manchester_II/liz27a.cha, line 601 · Liz, 2;8.14
    MOTmmhm .
    MOTthere you see .
    MOT*MOT: you've done his nice eyes , haven't you ?
    CHIand his legs .
    MOTlegs .

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. his3 · 100.0%