PHPCLANCHILDES with regular expressions

8 matches in 7 utterances

9.62 per 1,000 words of the child (CHI), in 1 of 1 transcripts (290 utterances, 832 words searched).

  1. I 0am [*] not being really cheeky . CHI · eng_british_Manchester_I/aran30a.cha, line 41 · Aran 2;09
  2. I was not . CHI · eng_british_Manchester_I/aran30a.cha, line 114 · Aran 2;09
  3. I would not . CHI · eng_british_Manchester_I/aran30a.cha, line 281 · Aran 2;09
  4. I not . CHI · eng_british_Manchester_I/aran30a.cha, line 283 · Aran 2;09
  5. I 0have [*] not got one . CHI · eng_british_Manchester_I/aran30a.cha, line 358 · Aran 2;09
  6. <I not> [//] the sun's not out today . CHI · eng_british_Manchester_I/aran30a.cha, line 1022 · Aran 2;09
  7. <I not> [//] the sun's not out today . CHI · eng_british_Manchester_I/aran30a.cha, line 1022 · Aran 2;09
  8. not again . CHI · eng_british_Manchester_I/aran30a.cha, line 1406 · Aran 2;09
  1. MOTyou're being cheeky ,, aren't you ?
    CHIno .
    CHI*CHI: I 0am [*] not being really cheeky .
    MOTthere's a difference ,, is there ?
    INVhello .
  2. MOTno .
    MOTyou were .
    CHI*CHI: I was not .
    CHIhe was spoiling my game .
    MOThe was spoiling your game ,, was he ?
  3. MOTwell you eat enough of them .
    CHII like wiggly +...
    CHI*CHI: I would not .
    CHII not .
    MOTwe went up to the shops only yesterday and you had a wiggly worm .
  4. CHII like wiggly +...
    CHII would not .
    CHI*CHI: I not .
    MOTwe went up to the shops only yesterday and you had a wiggly worm .
    MOTcome on .
  5. CHIyeah .
    MOTlet's put this puzzle over here then .
    CHI*CHI: I 0have [*] not got one .
    CHII got one .
    MOThave you ?
  6. MOTzzz@o .
    MOThave you got your shearing scissors ready ?
    CHI*CHI: <I not> [//] the sun's not out today .
    MOTso you're not going to do it ?
    CHIno .
  7. CHIwhat is it called ?
    MOTit's called Humpty_Dumpty .
    CHI*CHI: not again .
    MOTnot again .
    MOTwhat did you sing this morning at the play+group ?

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. Aran eng_british_Manchester_I9.62
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/aran30a.chaAran 2;9.25832789.62

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. not8 · 100.0%