PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

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

  1. that's a purple spider . MOT · eng_british_Manchester_I/becky30b.cha, line 298 · Becky 2;10
  2. that's a nice color . MOT · eng_british_Manchester_I/becky30b.cha, line 517 · Becky 2;10
  3. that's xxx . MOT · eng_british_Manchester_I/becky30b.cha, line 822 · Becky 2;10
  4. that's a chalk . MOT · eng_british_Manchester_I/becky30b.cha, line 863 · Becky 2;10
  5. that's not a lion . MOT · eng_british_Manchester_I/becky30b.cha, line 925 · Becky 2;10
  6. that's good , isn't it ? MOT · eng_british_Manchester_I/becky30b.cha, line 1160 · Becky 2;10
  7. that's probably dried now . MOT · eng_british_Manchester_I/becky30b.cha, line 1212 · Becky 2;10
  8. that's a good , look . MOT · eng_british_Manchester_I/becky30b.cha, line 1476 · Becky 2;10
  1. CHIMum .
    CHIwhat is that ?
    MOT*MOT: that's a purple spider .
    CHIwhy ?
    MOTwhy not ?
  2. MOTmmhm .
    MOTblue .
    MOT*MOT: that's a nice color .
    MOTgo on .
    MOTput some on the paper .
  3. CHIMum .
    CHIwhat is that ?
    MOT*MOT: that's xxx .
    CHIoh .
    CHImonster .
  4. CHIit must be this color .
    MOTno .
    MOT*MOT: that's a chalk .
    MOTI'm going to do it in paint .
    CHIthere .
  5. MOTthis monster doesn't talk because it's just a picture of one .
    CHIthis is a lion .
    MOT*MOT: that's not a lion .
    MOTit looks a bit like a lion though , doesn't it ?
    CHIyes .
  6. MOThasn't it ?
    MOToh well .
    MOT*MOT: that's good , isn't it ?
    MOTdo you like this monster then ?
    CHIyeah .
  7. CHIthis .
    CHIthis .
    MOT*MOT: that's probably dried now .
    CHIwhat ?
    MOTprobably dried now .
  8. CHIxxx .
    CHIin there .
    MOT*MOT: that's a good , look .
    MOTlook .
    MOTBecky .

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_I6.81
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky30b.chaBecky 2;10.121,174886.81

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. that's8 · 100.0%