PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

2.68 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (608 utterances, 2,241 words searched).

  1. how many cats have we +//. MOT · eng_british_Manchester_I/domin14b.cha, line 693 · Dominic 2;03
  2. how many cats have we got , Dominic ? MOT · eng_british_Manchester_I/domin14b.cha, line 697 · Dominic 2;03
  3. how many cats have we got , Dominic ? MOT · eng_british_Manchester_I/domin14b.cha, line 703 · Dominic 2;03
  4. how many eggs are there ? MOT · eng_british_Manchester_I/domin14b.cha, line 1256 · Dominic 2;03
  5. <I know how she feels> [>] . MOT · eng_british_Manchester_I/domin14b.cha, line 1457 · Dominic 2;03
  6. how did you break it ? MOT · eng_british_Manchester_I/domin14b.cha, line 1790 · Dominic 2;03
  1. eng_british_Manchester_I/domin14b.cha, line 693 · Dominic, 2;3.14
    MOTthat's right .
    CHIthat one ?
    MOT*MOT: how many cats have we +//.
    MOTthat's soup .
    MOThow many cats have we got , Dominic ?
  2. eng_british_Manchester_I/domin14b.cha, line 697 · Dominic, 2;3.14
    MOThow many cats have we +//.
    MOTthat's soup .
    MOT*MOT: how many cats have we got , Dominic ?
    CHIum +...
    MOTum +...
  3. eng_british_Manchester_I/domin14b.cha, line 703 · Dominic, 2;3.14
    CHIum +...
    MOTum +...
    MOT*MOT: how many cats have we got , Dominic ?
    MOTthat's another tin , isn't it ?
    CHIno .
  4. eng_british_Manchester_I/domin14b.cha, line 1256 · Dominic, 2;3.14
    MOTyou can get it out .
    MOTthere you go .
    MOT*MOT: how many eggs are there ?
    MOTwell .
    MOTyou don't do that with them in real life .
  5. eng_british_Manchester_I/domin14b.cha, line 1457 · Dominic, 2;3.14
    MOTshe's tired .
    MOTyes .
    MOT*MOT: <I know how she feels> [>] .
    CHI<oh downstairs> [<] .
    MOTis she gonna [: going to] be your little friend now ?
  6. eng_british_Manchester_I/domin14b.cha, line 1790 · Dominic, 2;3.14
    MOTyou broke it ?
    CHImmhm .
    MOT*MOT: how did you break it ?
    MOTdid you drop it ?
    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. Dominic eng_british_Manchester_I2.68
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/domin14b.chaDominic 2;3.142,241662.68

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. how6 · 100.0%