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. um you'll need a +/. MOT · eng_british_Manchester_I/becky30b.cha, line 32 · Becky 2;10
  2. do you need a cloth to wipe that off with ? MOT · eng_british_Manchester_I/becky30b.cha, line 34 · Becky 2;10
  3. what else do we need in that picture ? MOT · eng_british_Manchester_I/becky30b.cha, line 235 · Becky 2;10
  4. you need some pink cheeks , don't you ? MOT · eng_british_Manchester_I/becky30b.cha, line 325 · Becky 2;10
  5. you need paper , don't you ? MOT · eng_british_Manchester_I/becky30b.cha, line 388 · Becky 2;10
  6. does it need wiping again ? MOT · eng_british_Manchester_I/becky30b.cha, line 596 · Becky 2;10
  7. I think you need some clean water , don't you ? MOT · eng_british_Manchester_I/becky30b.cha, line 718 · Becky 2;10
  8. I think we need to have a bit of a yellow face now . MOT · eng_british_Manchester_I/becky30b.cha, line 1112 · Becky 2;10
  1. CHIdifferent colors .
    CHIdid it .
    MOT*MOT: um you'll need a +/.
    MOTdo you need a cloth to wipe that off with ?
    CHIyeah .
  2. CHIdid it .
    MOTum you'll need a +/.
    MOT*MOT: do you need a cloth to wipe that off with ?
    CHIyeah .
    MOTyeah ?
  3. CHIxxx this on me .
    MOToh .
    MOT*MOT: what else do we need in that picture ?
    MOTanything ?
    MOTwhat about some teeth ?
  4. MOTis it time for some painting now then ?
    CHIyeah .
    MOT*MOT: you need some pink cheeks , don't you ?
    MOTthere we are .
    MOTpink cheeks .
  5. MOTnow .
    MOTpaper .
    MOT*MOT: you need paper , don't you ?
    CHII don't know .
    CHIxxx .
  6. MOTnever mind .
    MOToh .
    MOT*MOT: does it need wiping again ?
    CHIyeah .
    MOTit's only water .
  7. MOToh .
    MOTwhat's happened ?
    MOT*MOT: I think you need some clean water , don't you ?
    CHIyes .
    MOTproblem .
  8. CHIgreen .
    CHIwe've got a black and green .
    MOT*MOT: I think we need to have a bit of a yellow face now .
    MOTwhat do you think ?
    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_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. need8 · 100.0%