PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

1.88 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (615 utterances, 2,126 words searched).

  1. what about Wiggly_woo ? MOT · eng_british_Manchester_II/joel06a.cha, line 859 · Joel 2;00
  2. and <what about> [//] what did you go for a ride on ? MOT · eng_british_Manchester_II/joel06a.cha, line 1035 · Joel 2;00
  3. what about the dog . MOT · eng_british_Manchester_II/joel06a.cha, line 1145 · Joel 2;00
  4. er # what about the cat ? MOT · eng_british_Manchester_II/joel06a.cha, line 1153 · Joel 2;00
  1. MOTare you excited ?
    MOTcan you sing us a song ?
    MOT*MOT: what about Wiggly_woo ?
    MOTyou're good at that one .
    MOTgonna [: going to] sing Wiggly_woo ?
  2. MOTare you doing sign+language ?
    MOTdid you push the trolley ?
    MOT*MOT: and <what about> [//] what did you go for a ride on ?
    MOTPaddington .
    MOTgo in Paddington's car ?
  3. MOTSally .
    MOTyeah .
    MOT*MOT: what about the dog .
    MOTwhat's the dog's name ?
    CHIHolly [=! whispers] .
  4. CHIHolly [=! whispers] .
    MOTHolly .
    MOT*MOT: er # what about the cat ?
    MOTwhat's the cat's name ?
    MOTcan you remember the cat's name ?

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. Joel eng_british_Manchester_II1.88
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/joel06a.chaJoel 2;0.262,126441.88

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. about4 · 100.0%