PHPCLANCHILDES with regular expressions

8 matches in 7 utterances

5.51 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (355 utterances, 1,451 words searched).

  1. am I big and important now ? INV · eng_british_Manchester_II/liz04b.cha, line 121 · Liz 2;00
  2. oh I'll be the big boss . MOT · eng_british_Manchester_II/liz04b.cha, line 139 · Liz 2;00
  3. the little lion is riding on the big lion , isn't he ? MOT · eng_british_Manchester_II/liz04b.cha, line 338 · Liz 2;00
  4. perhaps if we use some of these great big ones . MOT · eng_british_Manchester_II/liz04b.cha, line 499 · Liz 2;00
  5. I think it's too big to go there . MOT · eng_british_Manchester_II/liz04b.cha, line 754 · Liz 2;00
  6. no it's too big darling . MOT · eng_british_Manchester_II/liz04b.cha, line 759 · Liz 2;00
  7. get some big [/] big clip(s) clips [*] . MOT · eng_british_Manchester_II/liz04b.cha, line 959 · Liz 2;00
  8. get some big [/] big clip(s) clips [*] . MOT · eng_british_Manchester_II/liz04b.cha, line 959 · Liz 2;00
  1. INVdoes that look nice ?
    MOToh there you go .
    INV*INV: am I big and important now ?
    INVdo I look silly ?
    INVyes I think I do .
  2. CHIMum .
    MOTare you putting it on me ?
    MOT*MOT: oh I'll be the big boss .
    MOTthere we go .
    MOTright what else is in the bag then ?
  3. CHIriding the lion .
    MOToh yeah .
    MOT*MOT: the little lion is riding on the big lion , isn't he ?
    CHIbrick .
    MOTbrick .
  4. MOTokay .
    MOTwe'll see if we've got enough bricks left .
    MOT*MOT: perhaps if we use some of these great big ones .
    CHIbig .
    MOToh don't stand on it because they hurt your toes , don't they ?
  5. CHIfit in there .
    CHIthat on .
    MOT*MOT: I think it's too big to go there .
    CHI<one go> [/] one go in there .
    MOTno it's too big darling .
  6. MOTI think it's too big to go there .
    CHI<one go> [/] one go in there .
    MOT*MOT: no it's too big darling .
    MOTit could go on top of there .
    MOTthat's right .
  7. MOTwe'll have to get that pinned to the wall better , won't [: willn't] we ?
    CHIwon't [: willn't] +...
    MOT*MOT: get some big [/] big clip(s) clips [*] .
    MOTcome on .
    MOTshall we look what this Budgie's doing ?

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. Liz eng_british_Manchester_II5.51
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/liz04b.chaLiz 2;0.141,451785.51

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. big8 · 100.0%