PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

3.33 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (629 utterances, 1,500 words searched).

  1. soide [: sorede] ii wa . %mov:"20609"_880175_883029 FAT · japanese_ishii/20609.cha, line 534 · Jun 2;06
  2. moo ii no ? %mov:"20609"_1229788_1231706 FAT · japanese_ishii/20609.cha, line 754 · Jun 2;06
  3. Papa gakko itte ii ? %mov:"20609"_1899625_1903872 MOT · japanese_ishii/20609.cha, line 1165 · Jun 2;06
  4. Papa gakko itte ii ? %mov:"20609"_1904686_1906637 MOT · japanese_ishii/20609.cha, line 1167 · Jun 2;06
  5. hai, soide [: sorede] ii . %mov:"20609"_2011928_2011928 FAT · japanese_ishii/20609.cha, line 1215 · Jun 2;06
  1. CHInani miyoo ka na ? %mov:"20609"_874133_879125
    FATun, nani miyoo . %mov:"20609"_879125_880175
    FAT*FAT: soide [: sorede] ii wa . %mov:"20609"_880175_883029
    CHIa, torakku ! %mov:"20609"_883029_890614
    FATsore miru ? %mov:"20609"_890614_891178
  2. CHIkore nan daro ne . %mov:"20609"_1227771_1229788
    FATchotto kotchi mada aru yo ,, torakku . %mov:"20609"_1229788_1231143
    FAT*FAT: moo ii no ? %mov:"20609"_1229788_1231706
    CHIrobotto ,, kore ? %mov:"20609"_1231706_1234091
    FATsore jidoosha ya . %mov:"20609"_1234091_1235005
  3. MOTiku te [<] . %mov:"20609"_1895664_1898422
    FATiko ka ,, gakko ? %mov:"20609"_1898422_1899625
    MOT*MOT: Papa gakko itte ii ? %mov:"20609"_1899625_1903872
    CHIyatta ! %mov:"20609"_1903872_1904686
    MOTPapa gakko itte ii ? %mov:"20609"_1904686_1906637
  4. MOTPapa gakko itte ii ? %mov:"20609"_1899625_1903872
    CHIyatta ! %mov:"20609"_1903872_1904686
    MOT*MOT: Papa gakko itte ii ? %mov:"20609"_1904686_1906637
    CHIxxx tabako fuu@o shiten no . %mov:"20609"_1906637_1910803
    FATun . %mov:"20609"_1910803_1911194
  5. CHIkoko ni . %mov:"20609"_2010466_2011075
    FATsoo [/] soo . %mov:"20609"_2011075_2011928
    FAT*FAT: hai, soide [: sorede] ii . %mov:"20609"_2011928_2011928
    CHIomae ka . %mov:"20609"_2013803_2033504
    FATe ? %mov:"20609"_2033504_2034956

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. Jun japanese_ishii3.33
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20609.chaJun 2;6.091,500553.33

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. ii5 · 100.0%