PHPCLANCHILDES with regular expressions

9 matches in 9 utterances

5.99 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (457 utterances, 1,502 words searched).

  1. an elephant . MOT · eng_british_Manchester_I/becky01b.cha, line 67 · Becky 2;00
  2. but that's an orange . MOT · eng_british_Manchester_I/becky01b.cha, line 394 · Becky 2;00
  3. it's an orange . MOT · eng_british_Manchester_I/becky01b.cha, line 757 · Becky 2;00
  4. and you've bought an orange . MOT · eng_british_Manchester_I/becky01b.cha, line 1035 · Becky 2;00
  5. an orange . MOT · eng_british_Manchester_I/becky01b.cha, line 1080 · Becky 2;00
  6. it's an orange . MOT · eng_british_Manchester_I/becky01b.cha, line 1109 · Becky 2;00
  7. it's an orange . INV · eng_british_Manchester_I/becky01b.cha, line 1117 · Becky 2;00
  8. it's an orange . MOT · eng_british_Manchester_I/becky01b.cha, line 1123 · Becky 2;00
  9. it looks like a ball but it's actually an orange . INV · eng_british_Manchester_I/becky01b.cha, line 1131 · Becky 2;00
  1. MOTwho's this ?
    CHIelephant .
    MOT*MOT: an elephant .
    CHIoh fish .
    CHIfish .
  2. CHIa pear .
    MOTthat's a pear .
    MOT*MOT: but that's an orange .
    CHIxxx .
    CHIa pear .
  3. CHIxxx .
    MOTit's not a ball .
    MOT*MOT: it's an orange .
    MOTcan you say orange ?
    CHIorange .
  4. MOTfor eating .
    MOTyes .
    MOT*MOT: and you've bought an orange .
    CHIyeah .
    MOTand some cakes .
  5. MOTsome more cakes as well .
    CHIorange .
    MOT*MOT: an orange .
    MOTyes .
    MOTand you bought some biscuits .
  6. CHIbouncy [x 3] .
    MOTno .
    MOT*MOT: it's an orange .
    MOTnot a ball .
    CHIa ball .
  7. CHIa ball .
    INVit's not a ball .
    INV*INV: it's an orange .
    CHIball .
    INVno .
  8. CHIball .
    INVno .
    MOT*MOT: it's an orange .
    CHIball .
    MOTno .
  9. MOTno .
    MOTit's not a ball .
    INV*INV: it looks like a ball but it's actually an orange .
    INVI suppose it can be a ball if you want it to be .
    INVwhat's that ?

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_I5.99
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky01b.chaBecky 2;0.071,502995.99

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. an9 · 100.0%