PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

3.93 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (536 utterances, 1,273 words searched).

  1. nan desu ka ? %mov:"20602"_864007_864007 FAT · japanese_ishii/20602.cha, line 541 · Jun 2;06
  2. nan da ,, are . %mov:"20602"_1463975_1472370 FAT · japanese_ishii/20602.cha, line 891 · Jun 2;06
  3. nan da ,, are . %mov:"20602"_1474139_1474989 FAT · japanese_ishii/20602.cha, line 894 · Jun 2;06
  4. nan desu ka ,, sore ? %mov:"20602"_1861790_1862819 FAT · japanese_ishii/20602.cha, line 1101 · Jun 2;06
  5. nan desu ka ,, kore wa ? %mov:"20602"_1972898_1974038 FAT · japanese_ishii/20602.cha, line 1166 · Jun 2;06
  1. FATnani ? %mov:"20602"_862590_863329
    CHInee . %mov:"20602"_863329_864007
    FAT*FAT: nan desu ka ? %mov:"20602"_864007_864007
    CHIkore # ko yatte nee hasami xxx ya . %mov:"20602"_867341_872969
    CHIdenai nee ,, kore wa . %mov:"20602"_872969_875644
  2. CHIkowashichattaa . %mov:"20602"_1461007_1462908
    FATkowashichattaa . %mov:"20602"_1462908_1463975
    FAT*FAT: nan da ,, are . %mov:"20602"_1463975_1472370
    CHIn ? %mov:"20602"_1472370_1474139
    FATnan da ,, are . %mov:"20602"_1474139_1474989
  3. FATnan da ,, are . %mov:"20602"_1463975_1472370
    CHIn ? %mov:"20602"_1472370_1474139
    FAT*FAT: nan da ,, are . %mov:"20602"_1474139_1474989
    CHIpiipoopiipoo@o kyuukyuusha . %mov:"20602"_1474989_1478719
    CHIooiin@o [/] ooiin@o yuuta [>] desho ? %mov:"20602"_1478719_1483630
  4. CHIxxx . %mov:"20602"_1854294_1859343
    CHIkoo yatte # jaa@o to sun no . %mov:"20602"_1859343_1861790
    FAT*FAT: nan desu ka ,, sore ? %mov:"20602"_1861790_1862819
    CHIkoohinyuunyuu . %mov:"20602"_1862819_1865177
    FATkoohiigyuunyuu . %mov:"20602"_1865177_1865817
  5. CHIkampaii . %mov:"20602"_1967273_1968307
    CHIiren [: ireru] no ? %mov:"20602"_1968307_1972898
    FAT*FAT: nan desu ka ,, kore wa ? %mov:"20602"_1972898_1974038
    CHIosake desu . %mov:"20602"_1974038_1975846
    FATosake . %mov:"20602"_1975846_1976367

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_ishii3.93
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20602.chaJun 2;6.021,273553.93

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. nan5 · 100.0%