PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

3.31 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (641 utterances, 1,510 words searched).

  1. soo ya ne . %mov:"20220"_714007_714772 FAT · japanese_ishii/20220.cha, line 513 · Jun 2;02
  2. biyonbiyon@o ya ne ? %mov:"20220"_716000_717095 FAT · japanese_ishii/20220.cha, line 515 · Jun 2;02
  3. ookii ofune ya ne . %mov:"20220"_945293_947979 FAT · japanese_ishii/20220.cha, line 674 · Jun 2;02
  4. wanwan@o no okaasan sore ya ne . %mov:"20220"_1852559_1854061 FAT · japanese_ishii/20220.cha, line 1242 · Jun 2;02
  5. un, itanai kara ne ? %mov:"20220"_2043960_2045308 FAT · japanese_ishii/20220.cha, line 1334 · Jun 2;02
  1. FATroketto ya . %mov:"20220"_710122_711106
    CHIxxx yo . %mov:"20220"_711106_714007
    FAT*FAT: soo ya ne . %mov:"20220"_714007_714772
    CHIbiyanbiyan ka ? %mov:"20220"_714772_716000
    FATbiyonbiyon@o ya ne ? %mov:"20220"_716000_717095
  2. FATsoo ya ne . %mov:"20220"_714007_714772
    CHIbiyanbiyan ka ? %mov:"20220"_714772_716000
    FAT*FAT: biyonbiyon@o ya ne ? %mov:"20220"_716000_717095
    CHIxxx . %mov:"20220"_717095_718353
    CHIbashu ikoo . %mov:"20220"_718354_719805
  3. FATa, kore ka . %mov:"20220"_943715_944622
    FATofune ka . %mov:"20220"_944622_945293
    FAT*FAT: ookii ofune ya ne . %mov:"20220"_945293_947979
    FATwaa, sugo [: sugoi] . %mov:"20220"_947979_951111
    CHIare ? %mov:"20220"_951111_957359
  4. CHIakaashan koe yo . %mov:"20220"_1850103_1851776
    FATsore okaasan . %mov:"20220"_1851776_1852559
    FAT*FAT: wanwan@o no okaasan sore ya ne . %mov:"20220"_1852559_1854061
    CHIbooru yo . %mov:"20220"_1854061_1855844
    FATbooru ya nee . %mov:"20220"_1855844_1856997
  5. FATitai kara kotchi osuwari shinasai . %mov:"20220"_2040387_2042489
    CHIitanai ? %mov:"20220"_2042489_2043960
    FAT*FAT: un, itanai kara ne ? %mov:"20220"_2043960_2045308
    CHIn koko itanai ? %mov:"20220"_2045308_2047311
    FATun . %mov:"20220"_2047311_2048066

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_ishii3.31
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20220.chaJun 2;2.201,510553.31

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. ne5 · 100.0%