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. my Dad . CHI · eng_british_Manchester_I/aran30a.cha, line 89 · Aran 2;09
  2. he was spoiling my game . CHI · eng_british_Manchester_I/aran30a.cha, line 116 · Aran 2;09
  3. I go show Anna my xxx . CHI · eng_british_Manchester_I/aran30a.cha, line 296 · Aran 2;09
  4. I 0have [*] got my spanner ready . CHI · eng_british_Manchester_I/aran30a.cha, line 418 · Aran 2;09
  5. my Daddy don't [*] like pigeons , Anna . CHI · eng_british_Manchester_I/aran30a.cha, line 595 · Aran 2;09
  6. I took my tools out of my tool+box . CHI · eng_british_Manchester_I/aran30a.cha, line 895 · Aran 2;09
  7. I took my tools out of my tool+box . CHI · eng_british_Manchester_I/aran30a.cha, line 895 · Aran 2;09
  8. <I want> [/] I want my hammer . CHI · eng_british_Manchester_I/aran30a.cha, line 953 · Aran 2;09
  1. CHII be a monkey again .
    MOTand who said that ?
    CHI*CHI: my Dad .
    MOTDaddy doesn't say that at all .
    CHII xxx .
  2. MOTyou were .
    CHII was not .
    CHI*CHI: he was spoiling my game .
    MOThe was spoiling your game ,, was he ?
    MOTso who was the monkey ?
  3. MOTno .
    MOTyou're not going out , Aran .
    CHI*CHI: I go show Anna my xxx .
    MOTendlessly a cat or a dog .
    CHIxxx .
  4. CHIyeah .
    MOThave you ?
    CHI*CHI: I 0have [*] got my spanner ready .
    CHIneed one of these .
    MOTwhere's this going ?
  5. MOTyes .
    MOTthey might be .
    CHI*CHI: my Daddy don't [*] like pigeons , Anna .
    MOTdoesn't like pigeons , no .
    INVI can understand that .
  6. CHIthe motor+cars .
    MOTpardon ?
    CHI*CHI: I took my tools out of my tool+box .
    MOTyou've got your tool+box yes .
    MOTit's got no tools in it though ,, has it ?
  7. CHIyes I did .
    MOThow many ?
    CHI*CHI: <I want> [/] I want my hammer .
    MOTI'm not being rude Farmer_Reed but I really think that you ought to trade that tractor in for a new model .
    MOTbecause I think that it's not quite big enough for you .

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. my8 · 100.0%