PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

4.63 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (447 utterances, 1,726 words searched).

  1. there , look . MOT · eng_british_Manchester_I/becky08b.cha, line 47 · Becky 2;02
  2. what's it a picture of , look . MOT · eng_british_Manchester_I/becky08b.cha, line 211 · Becky 2;02
  3. that's the sea , look with blue . MOT · eng_british_Manchester_I/becky08b.cha, line 267 · Becky 2;02
  4. let's have a look . MOT · eng_british_Manchester_I/becky08b.cha, line 317 · Becky 2;02
  5. Becky , look . MOT · eng_british_Manchester_I/becky08b.cha, line 555 · Becky 2;02
  6. can you see in this picture , look ? MOT · eng_british_Manchester_I/becky08b.cha, line 912 · Becky 2;02
  7. look . MOT · eng_british_Manchester_I/becky08b.cha, line 1343 · Becky 2;02
  8. here it is , look . MOT · eng_british_Manchester_I/becky08b.cha, line 1685 · Becky 2;02
  1. MOTI don't know where you've got that from , Becky .
    MOTyou don't see me biting my nails .
    MOT*MOT: there , look .
    MOTgive him a cuddle .
    CHImummy xxx .
  2. MOTyes .
    MOTyou do .
    MOT*MOT: what's it a picture of , look .
    CHIdon't know .
    MOTof course you know what it is .
  3. CHII go this .
    CHIa@l b@l c@l d@l e@l f@l .
    MOT*MOT: that's the sea , look with blue .
    CHIthat blue .
    CHIthat's orange .
  4. MOTare you putting some lipstick on , are you ?
    CHIyeah .
    MOT*MOT: let's have a look .
    MOToh very pretty .
    MOTcan I have some on ?
  5. MOTwho's purple ?
    CHIdon't know .
    MOT*MOT: Becky , look .
    MOTwho's purple ?
    CHIBarnie is .
  6. CHIyeah .
    MOTI think that's a bobble on his hat , isn't it ?
    MOT*MOT: can you see in this picture , look ?
    CHIyeah .
    MOThe's got a bobble on his hat .
  7. CHIthat ?
    MOToh you've just had one of those .
    MOT*MOT: look .
    MOTcan you see ?
    MOTwhat is it ?
  8. MOTI haven't read that one yet either , Becky .
    MOToh .
    MOT*MOT: here it is , look .
    MOTcan we read that one later on ?
    CHIyeah .

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_I4.63
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky08b.chaBecky 2;2.221,726884.63

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. look8 · 100.0%