PHPCLANCHILDES with regular expressions

9 matches in 8 utterances

8.94 per 1,000 words of the child (CHI), in 1 of 1 transcripts (426 utterances, 1,007 words searched).

  1. I get two now . CHI · eng_british_Manchester_I/becky18a.cha, line 66 · Becky 2;06
  2. I get two now . CHI · eng_british_Manchester_I/becky18a.cha, line 70 · Becky 2;06
  3. you get one . CHI · eng_british_Manchester_I/becky18a.cha, line 318 · Becky 2;06
  4. get doctor's set . CHI · eng_british_Manchester_I/becky18a.cha, line 778 · Becky 2;06
  5. this [//] you get sore knee . CHI · eng_british_Manchester_I/becky18a.cha, line 806 · Becky 2;06
  6. get [/] get your scissors . CHI · eng_british_Manchester_I/becky18a.cha, line 1275 · Becky 2;06
  7. get [/] get your scissors . CHI · eng_british_Manchester_I/becky18a.cha, line 1275 · Becky 2;06
  8. get the fuzzy faces . CHI · eng_british_Manchester_I/becky18a.cha, line 1567 · Becky 2;06
  9. and Caroline 0has [*] get some teeth . CHI · eng_british_Manchester_I/becky18a.cha, line 1883 · Becky 2;06
  1. MOTno .
    MOTthat's not right , is it ?
    CHI*CHI: I get two now .
    MOTmy go now .
    CHII get two now .
  2. CHII get two now .
    MOTmy go now .
    CHI*CHI: I get two now .
    CHIum +...
    MOTis that right , Becky ?
  3. INVthank you .
    CHICaroline .
    CHI*CHI: you get one .
    MOToh .
    CHIno .
  4. MOTdo you want to get the doctor's set out then ?
    CHIyes .
    CHI*CHI: get doctor's set .
    CHIxxx .
    MOTon the table .
  5. MOTput this on a minute .
    CHIxxx .
    CHI*CHI: this [//] you get sore knee .
    CHIhow's [/] how's Caroline's knee ?
    MOTI don't know .
  6. MOTdon't put it in my face .
    CHIum what's next ?
    CHI*CHI: get [/] get your scissors .
    CHIthe scissors cut you .
    MOTwhat're you doing ?
  7. CHIyeah .
    MOThere you are .
    CHI*CHI: get the fuzzy faces .
    CHICaroline .
    INVyeah .
  8. MOToh yes .
    MOTgot some teeth .
    CHI*CHI: and Caroline 0has [*] get some teeth .
    INVI've got some teeth .
    INVyes .

Matches by age

One dot per transcript: matches per 1,000 words of the child (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_I8.94
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky18a.chaBecky 2;6.051,007898.94

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. get9 · 100.0%