PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

1.95 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (895 utterances, 2,568 words searched).

  1. Junkun kore notta yaro . %mov:"30608"_520526_522637 FAT · japanese_ishii/30608.cha, line 312 · Jun 3;06
  2. Junkun mae noru no ? %mov:"30608"_864054_865145 FAT · japanese_ishii/30608.cha, line 489 · Jun 3;06
  3. Junkun dore ni noru ? %mov:"30608"_972828_976522 FAT · japanese_ishii/30608.cha, line 559 · Jun 3;06
  4. Junkun no ke [= hair] ya . %mov:"30608"_1901389_1903690 FAT · japanese_ishii/30608.cha, line 997 · Jun 3;06
  5. Junkun ! %mov:"30608"_2275113_2276302 FAT · japanese_ishii/30608.cha, line 1188 · Jun 3;06
  1. CHIdensha nai mon . %mov:"30608"_516629_519368
    FATdensha nai naa,, koko wa . %mov:"30608"_519368_520526
    FAT*FAT: Junkun kore notta yaro . %mov:"30608"_520526_522637
    FATkyuukyuusha . %mov:"30608"_522637_524846
    CHIhonna shooboosha . %mov:"30608"_524846_527402
  2. FATkompyuutaakaa ya . %mov:"30608"_859971_861448
    CHIJunkun mae ya de . %mov:"30608"_861448_864054
    FAT*FAT: Junkun mae noru no ? %mov:"30608"_864054_865145
    CHIun . %mov:"30608"_865145_865580
    CHIJunkun ban [: yoru] made iru shi [: kara] . %mov:"30608"_865580_868393
  3. CHIeeto na +... %mov:"30608"_970207_972156
    FATun . %mov:"30608"_972156_972828
    FAT*FAT: Junkun dore ni noru ? %mov:"30608"_972828_976522
    CHIDemmaaku . %mov:"30608"_976522_979235
    FATDemmaaku ga ii ka ? %mov:"30608"_979235_980597
  4. FATun . %mov:"30608"_1899831_1900657
    CHInagai [/] nagai . %mov:"30608"_1900657_1901389
    FAT*FAT: Junkun no ke [= hair] ya . %mov:"30608"_1901389_1903690
    CHIchau wa . %mov:"30608"_1903690_1905316
    CHIkitanai xxx . %mov:"30608"_1904607_1927720
  5. FATmiehen no,, sore wa . %mov:"30608"_2271656_2272881
    FATakan no . %mov:"30608"_2272881_2275113
    FAT*FAT: Junkun ! %mov:"30608"_2275113_2276302
    CHImieteru [/] mieteru . %mov:"30608"_2276302_2278378
    FATmieteru ka ? %mov:"30608"_2278378_2278967

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_ishii1.95
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/30608.chaJun 3;6.082,568551.95

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. junkun5 · 100.0%