PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

6.23 per 1,000 words of the child (CHI), in 1 of 1 transcripts (508 utterances, 1,284 words searched).

  1. I <just make> [/] just making xxx . CHI · eng_british_Manchester_I/becky28a.cha, line 277 · Becky 2;09
  2. <I just> [/] I 0am [*] just making two legs . CHI · eng_british_Manchester_I/becky28a.cha, line 283 · Becky 2;09
  3. what are you making ? CHI · eng_british_Manchester_I/becky28a.cha, line 399 · Becky 2;09
  4. I 0am [*] not making pancakes . CHI · eng_british_Manchester_I/becky28a.cha, line 485 · Becky 2;09
  5. making hot . CHI · eng_british_Manchester_I/becky28a.cha, line 487 · Becky 2;09
  6. making buns . CHI · eng_british_Manchester_I/becky28a.cha, line 523 · Becky 2;09
  7. got [//] making buns . CHI · eng_british_Manchester_I/becky28a.cha, line 527 · Becky 2;09
  8. am I making buns ? CHI · eng_british_Manchester_I/becky28a.cha, line 531 · Becky 2;09
  1. MOTwhoops .
    CHIwhat did you do ?
    CHI*CHI: I <just make> [/] just making xxx .
    CHIwhat is it ?
    MOTcut a bit of his mouth off .
  2. CHIwhat is it ?
    MOTcut a bit of his mouth off .
    CHI*CHI: <I just> [/] I 0am [*] just making two legs .
    MOTtwo legs , are you ?
    CHIyes .
  3. MOTgood .
    CHIwhat are you doing ?
    CHI*CHI: what are you making ?
    MOTthat's it ?
    CHIwhat is you waiting for ?
  4. MOThave you been tossing pancakes ?
    CHIno .
    CHI*CHI: I 0am [*] not making pancakes .
    CHImaking hot .
    MOTyou're making what ?
  5. CHIno .
    CHII 0am [*] not making pancakes .
    CHI*CHI: making hot .
    MOTyou're making what ?
    CHIhot+cross(ed) buns .
  6. CHIyes .
    CHIbuns xxx .
    CHI*CHI: making buns .
    CHIthese buns are .
    CHIgot [//] making buns .
  7. CHImaking buns .
    CHIthese buns are .
    CHI*CHI: got [//] making buns .
    CHIxxx .
    CHIam I making buns ?
  8. CHIgot [//] making buns .
    CHIxxx .
    CHI*CHI: am I making buns ?
    MOTI think you are , Becky .
    MOTyes .

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_I6.23
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky28a.chaBecky 2;9.131,284886.23

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. making8 · 100.0%