PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

4.35 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (579 utterances, 1,840 words searched).

  1. are you gonna [: going to] have a clear up ? MOT · eng_british_Manchester_II/joel15a.cha, line 221 · Joel 2;03
  2. are you having a cuddle ? MOT · eng_british_Manchester_II/joel15a.cha, line 322 · Joel 2;03
  3. are you gonna [: going to] help me ? MOT · eng_british_Manchester_II/joel15a.cha, line 413 · Joel 2;03
  4. here you are . INV · eng_british_Manchester_II/joel15a.cha, line 681 · Joel 2;03
  5. not big on that xxx , are you ? MOT · eng_british_Manchester_II/joel15a.cha, line 1003 · Joel 2;03
  6. are you shutting hippo off ? MOT · eng_british_Manchester_II/joel15a.cha, line 1235 · Joel 2;03
  7. are you going to talk to me now ? MOT · eng_british_Manchester_II/joel15a.cha, line 1310 · Joel 2;03
  8. are they hula+hoops ? MOT · eng_british_Manchester_II/joel15a.cha, line 1621 · Joel 2;03
  1. MOTthat's Budgie_the_Helicopter .
    CHIxxx clear up .
    MOT*MOT: are you gonna [: going to] have a clear up ?
    CHIno .
    MOTno .
  2. MOTwww .
    MOToh .
    MOT*MOT: are you having a cuddle ?
    MOToh .
    MOTthat's nice .
  3. CHIxxx , Mummy .
    INVput your bricks away and I'll go and get the Duplo .
    MOT*MOT: are you gonna [: going to] help me ?
    MOTwhile Caroline goes to the car ?
    MOToh .
  4. INVthere .
    CHII put these on .
    INV*INV: here you are .
    INVpop them <on the> [/] on the whatsit [//] green thing .
    INVJoel .
  5. MOToh yeah .
    MOTwww .
    MOT*MOT: not big on that xxx , are you ?
    MOTjust pile them high .
    CHIaye aye .
  6. MOTwww .
    MOToh .
    MOT*MOT: are you shutting hippo off ?
    MOTput a fence round hippo ?
    MOTso he can't get out ?
  7. MOToh .
    MOTwhoops .
    MOT*MOT: are you going to talk to me now ?
    CHII want to pull Sam_the_monkey off .
    MOTyou're gonna [: going to] pull Sam_the_monkey off ?
  8. CHIhoops .
    CHIhula+hoops .
    MOT*MOT: are they hula+hoops ?
    MOTyeah .
    MOTI bet you can't put them back on though .

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. Joel eng_british_Manchester_II4.35
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/joel15a.chaJoel 2;3.251,840884.35

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. are8 · 100.0%