PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

5.56 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (356 utterances, 900 words searched).

  1. Neechan ga,, sore . %mov:"20023"_93136_94551 FAT · japanese_ishii/20023.cha, line 70 · Jun 2;00
  2. kore neechan ka ? %mov:"20023"_140394_141165 FAT · japanese_ishii/20023.cha, line 106 · Jun 2;00
  3. sore neechan. %mov:"20023"_146293_147136 FAT · japanese_ishii/20023.cha, line 110 · Jun 2;00
  4. Chaachan to # Neechan to # Jun to doobutsuen itta n ? %mov:"20023"_391646_397819 FAT · japanese_ishii/20023.cha, line 279 · Jun 2;00
  5. Neechan mo notta ? %mov:"20023"_436644_437692 FAT · japanese_ishii/20023.cha, line 309 · Jun 2;00
  1. FATJun ga # bii@o shita n . %mov:"20023"_89814_91371
    CHIkoko xxx eechan . %mov:"20023"_91371_93136
    FAT*FAT: Neechan ga,, sore . %mov:"20023"_93136_94551
    FATwarui naa . %mov:"20023"_94551_96566
    CHIbakabaka yuu wa . %mov:"20023"_96566_98063
  2. CHIensha babai . %mov:"20023"_136620_139375
    FATuun ? %mov:"20023"_139375_140394
    FAT*FAT: kore neechan ka ? %mov:"20023"_140394_141165
    CHIiichan ya . %mov:"20023"_141165_143012
    FATniichan ya . %mov:"20023"_143012_143868
  3. FATniichan ya . %mov:"20023"_143012_143868
    CHIniichan eechan . %mov:"20023"_143868_146293
    FAT*FAT: sore neechan. %mov:"20023"_146293_147136
    CHIchaachan ya wa. %mov:"20023"_147136_148241
    FATchaachan ka . %mov:"20023"_148241_149151
  4. FATdoobutsuen itta ? %mov:"20023"_388920_390111
    CHIn ? %mov:"20023"_390111_391646
    FAT*FAT: Chaachan to # Neechan to # Jun to doobutsuen itta n ? %mov:"20023"_391646_397819
    FATkirinsan ita ? %mov:"20023"_397819_399492
    CHIn ? %mov:"20023"_399492_400794
  5. FATJun to ? %mov:"20023"_433762_434396
    CHIchutchu . %mov:"20023"_434396_436644
    FAT*FAT: Neechan mo notta ? %mov:"20023"_436644_437692
    CHIaa a . %mov:"20023"_437692_438874
    FATkyakkya@o [= monkey] ita ka ? %mov:"20023"_438874_440072

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_ishii5.56
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20023.chaJun 2;0.23900555.56

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. neechan5 · 100.0%