PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

2.56 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (308 utterances, 1,174 words searched).

  1. you've done a face ? MOT · eng_british_Manchester_I/becky30b.cha, line 77 · Becky 2;10
  2. it's a face , is it ? MOT · eng_british_Manchester_I/becky30b.cha, line 108 · Becky 2;10
  3. I think we need to have a bit of a yellow face now . MOT · eng_british_Manchester_I/becky30b.cha, line 1112 · Becky 2;10
  1. eng_british_Manchester_I/becky30b.cha, line 77 · Becky, 2;10.12
    CHII 0have [*] done a face .
    MOTyou've done it , have you ?
    MOT*MOT: you've done a face ?
    MOTcan I have a look ?
    MOTpop these here .
  2. eng_british_Manchester_I/becky30b.cha, line 108 · Becky, 2;10.12
    MOTlet's have a look then .
    MOTwhat you've done .
    MOT*MOT: it's a face , is it ?
    CHIyeah .
    CHIyes .
  3. eng_british_Manchester_I/becky30b.cha, line 1112 · Becky, 2;10.12
    CHIgreen .
    CHIwe've got a black and green .
    MOT*MOT: I think we need to have a bit of a yellow face now .
    MOTwhat do you think ?
    CHIyeah .

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. Becky eng_british_Manchester_I2.56
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky30b.chaBecky 2;10.121,174332.56

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. face3 · 100.0%