PHPCLANCHILDES with regular expressions

8 matches in 7 utterances

4.92 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (497 utterances, 1,627 words searched).

  1. what shall we have ? MOT · eng_british_Manchester_II/joel01a.cha, line 200 · Joel 1;11
  2. what else have we got ? MOT · eng_british_Manchester_II/joel01a.cha, line 305 · Joel 1;11
  3. mummy didn't have to go to aerobics then . MOT · eng_british_Manchester_II/joel01a.cha, line 575 · Joel 1;11
  4. have enough of that, have we ? MOT · eng_british_Manchester_II/joel01a.cha, line 601 · Joel 1;11
  5. have enough of that, have we ? MOT · eng_british_Manchester_II/joel01a.cha, line 601 · Joel 1;11
  6. let's have a look then . MOT · eng_british_Manchester_II/joel01a.cha, line 729 · Joel 1;11
  7. have you been to the shop with grandma ? MOT · eng_british_Manchester_II/joel01a.cha, line 1039 · Joel 1;11
  8. oh do we have to do it ? MOT · eng_british_Manchester_II/joel01a.cha, line 1311 · Joel 1;11
  1. MOTvery good .
    MOTwow .
    MOT*MOT: what shall we have ?
    MOTyou pick a color .
    MOToh we don't need those .
  2. MOTwhat color's daddy's car ?
    MOToh .
    MOT*MOT: what else have we got ?
    MOToh look .
    MOTsome numbers .
  3. MOTlook .
    MOTmummy was really slim then .
    MOT*MOT: mummy didn't have to go to aerobics then .
    MOTwhat shall we do now then ?
    MOTI don't know what you find so enjoyable about this, Joel ?
  4. MOTwww .
    MOTyeah good .
    MOT*MOT: have enough of that, have we ?
    MOTnow +/.
    MOTdo you want to talk to daddy on the telephone ?
  5. CHIbee .
    MOTbee ?
    MOT*MOT: let's have a look then .
    CHIoh .
    MOThas it lost it's squeak ?
  6. MOTdo you go to the shops with grandma ?
    MOTJoel .
    MOT*MOT: have you been to the shop with grandma ?
    MOTwhat does grandma get from the shops ?
    CHIpaper .
  7. CHIno .
    MOTno ?
    MOT*MOT: oh do we have to do it ?
    MOTwell who's in this one then ?
    MOToh+dear .

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_II4.92
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/joel01a.chaJoel 1;11.011,627784.92

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. have8 · 100.0%