PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

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

  1. do [//] draw another picture with your chalks . MOT · eng_british_Manchester_I/becky30b.cha, line 61 · Becky 2;10
  2. want a picture of Becky ? MOT · eng_british_Manchester_I/becky30b.cha, line 172 · Becky 2;10
  3. what else do we need in that picture ? MOT · eng_british_Manchester_I/becky30b.cha, line 235 · Becky 2;10
  4. this monster doesn't talk because it's just a picture of one . MOT · eng_british_Manchester_I/becky30b.cha, line 920 · Becky 2;10
  5. do you want to do another picture or have you finished your painting now . MOT · eng_british_Manchester_I/becky30b.cha, line 1218 · Becky 2;10
  6. or do you want to do another picture ? MOT · eng_british_Manchester_I/becky30b.cha, line 1581 · Becky 2;10
  7. what picture do you want to do ? MOT · eng_british_Manchester_I/becky30b.cha, line 1593 · Becky 2;10
  1. MOTI've got to get the paints out .
    MOTthere we go , look .
    MOT*MOT: do [//] draw another picture with your chalks .
    MOTwhile I get the paints .
    CHIgoing together .
  2. MOTyou want Becky ?
    CHIoh .
    MOT*MOT: want a picture of Becky ?
    CHIyes .
    MOTalright .
  3. CHIxxx this on me .
    MOToh .
    MOT*MOT: what else do we need in that picture ?
    MOTanything ?
    MOTwhat about some teeth ?
  4. MOTdoes he talk ?
    CHIyeah .
    MOT*MOT: this monster doesn't talk because it's just a picture of one .
    CHIthis is a lion .
    MOTthat's not a lion .
  5. CHIwhat ?
    MOTprobably dried now .
    MOT*MOT: do you want to do another picture or have you finished your painting now .
    CHIxxx .
    MOTit's alright , Becky .
  6. MOThave you finished with the chalks ?
    CHIno .
    MOT*MOT: or do you want to do another picture ?
    CHIwant to do another picture .
    MOTcome on then .
  7. CHII did it .
    CHIwhat picture can I do ?
    MOT*MOT: what picture do you want to do ?
    CHII don't know .
    MOThang on then .

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_I5.96
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky30b.chaBecky 2;10.121,174775.96

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. picture7 · 100.0%