PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

3.04 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (633 utterances, 2,301 words searched).

  1. you've tipped them all out ,, haven't you ? MOT · eng_british_Manchester_I/anne09a.cha, line 435 · Anne 2;00
  2. he's all right . MOT · eng_british_Manchester_I/anne09a.cha, line 488 · Anne 2;00
  3. that's all right . MOT · eng_british_Manchester_I/anne09a.cha, line 537 · Anne 2;00
  4. all right then . MOT · eng_british_Manchester_I/anne09a.cha, line 1270 · Anne 2;00
  5. all right . MOT · eng_british_Manchester_I/anne09a.cha, line 1464 · Anne 2;00
  6. I think it'll be all right . MOT · eng_british_Manchester_I/anne09a.cha, line 1807 · Anne 2;00
  7. are you all right ? INV · eng_british_Manchester_I/anne09a.cha, line 2154 · Anne 2;00
  1. eng_british_Manchester_I/anne09a.cha, line 435 · Anne, 2;0.29
    MOToh .
    CHIsome more .
    MOT*MOT: you've tipped them all out ,, haven't you ?
    CHIyeah .
    MOTcareful .
  2. eng_british_Manchester_I/anne09a.cha, line 488 · Anne, 2;0.29
    CHIxxx here .
    MOTyeah .
    MOT*MOT: he's all right .
    CHIlook .
    CHIa spider .
  3. eng_british_Manchester_I/anne09a.cha, line 537 · Anne, 2;0.29
    MOTbaby's going to go and go to sleep now .
    MOToh .
    MOT*MOT: that's all right .
    MOTI can go to sleep .
    CHIxxx baby's xxx .
  4. eng_british_Manchester_I/anne09a.cha, line 1270 · Anne, 2;0.29
    CHInext page .
    MOTnext page ?
    MOT*MOT: all right then .
    MOTwww .
    CHInext .
  5. eng_british_Manchester_I/anne09a.cha, line 1464 · Anne, 2;0.29
    MOTget that one out ?
    CHIyeah .
    MOT*MOT: all right .
    CHIxxx .
    MOToh .
  6. eng_british_Manchester_I/anne09a.cha, line 1807 · Anne, 2;0.29
    MOTnever mind .
    CHIxxx .
    MOT*MOT: I think it'll be all right .
    MOTI think that one's not too torn to put in the book .
    CHIbook .
  7. eng_british_Manchester_I/anne09a.cha, line 2154 · Anne, 2;0.29
    INVmind your head .
    INVxxx .
    INV*INV: are you all right ?
    CHIxxx .
    INVpardon ?

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. Anne eng_british_Manchester_I3.04
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/anne09a.chaAnne 2;0.292,301773.04

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. all7 · 100.0%