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. kore dare ,, kore ? %mov:"20602"_34098_34963 FAT · japanese_ishii/20602.cha, line 27 · Jun 2;06
  2. dare ga tottan ya . %mov:"20602"_1329252_1331611 FAT · japanese_ishii/20602.cha, line 816 · Jun 2;06
  3. dare ga kowashitan da . %mov:"20602"_1337162_1340108 FAT · japanese_ishii/20602.cha, line 818 · Jun 2;06
  4. dare ya ,, kowashita no wa ,, mata . %mov:"20602"_1403232_1405573 FAT · japanese_ishii/20602.cha, line 858 · Jun 2;06
  5. dare to notta ? %mov:"20602"_1517901_1519254 FAT · japanese_ishii/20602.cha, line 917 · Jun 2;06
  1. FATkoo sun no . %mov:"20602"_32568_33515
    CHIhore . %mov:"20602"_33515_34098
    FAT*FAT: kore dare ,, kore ? %mov:"20602"_34098_34963
    CHIn ? %mov:"20602"_34963_36405
    CHIJun . %mov:"20602"_36405_36968
  2. FATa, konna # konna toko (ni) atta, hore . %mov:"20602"_1323247_1327838
    FATkore koko yaro . %mov:"20602"_1327838_1329252
    FAT*FAT: dare ga tottan ya . %mov:"20602"_1329252_1331611
    FATkoo natteru deshoo ? %mov:"20602"_1331611_1337162
    FATdare ga kowashitan da . %mov:"20602"_1337162_1340108
  3. FATdare ga tottan ya . %mov:"20602"_1329252_1331611
    FATkoo natteru deshoo ? %mov:"20602"_1331611_1337162
    FAT*FAT: dare ga kowashitan da . %mov:"20602"_1337162_1340108
    FATJun wa sugu kowasu . %mov:"20602"_1340108_1343478
    CHIn ? %mov:"20602"_1343478_1344693
  4. CHIaaraa ! %mov:"20602"_1401497_1402276
    FATaraa ! %mov:"20602"_1402276_1403232
    FAT*FAT: dare ya ,, kowashita no wa ,, mata . %mov:"20602"_1403232_1405573
    CHIkowashita xxx . %mov:"20602"_1405573_1408023
    FATmata Jun ga kowashita . %mov:"20602"_1408023_1409996
  5. FATJun kyuukyuusha notta ? %mov:"20602"_1514968_1516264
    CHIkyuukyuusha notta ,, kore . %mov:"20602"_1516264_1517901
    FAT*FAT: dare to notta ? %mov:"20602"_1517901_1519254
    CHIOtoosan to . %mov:"20602"_1519254_1521033
    FATe ? %mov:"20602"_1521033_1521901

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. dare5 · 100.0%