PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

2.32 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (762 utterances, 2,158 words searched).

  1. kenka shiten nya . %mov:"21125"_211310_212243 FAT · japanese_ishii/21125.cha, line 148 · Jun 2;11
  2. kenka shiten nya . %mov:"21125"_216641_217602 FAT · japanese_ishii/21125.cha, line 151 · Jun 2;11
  3. dare no kuruma ka wakaru yoo ni shiten ne . %mov:"21125"_1640948_1643572 FAT · japanese_ishii/21125.cha, line 978 · Jun 2;11
  4. attakai shiten no . %mov:"21125"_1949331_1950324 FAT · japanese_ishii/21125.cha, line 1110 · Jun 2;11
  5. nani shiten no,, Otoosan to . %mov:"21125"_3198038_3199814 MOT · japanese_ishii/21125.cha, line 1509 · Jun 2;11
  1. FATe ? %mov:"21125"_209618_210322
    CHIkarasu ya . %mov:"21125"_210322_211310
    FAT*FAT: kenka shiten nya . %mov:"21125"_211310_212243
    CHInani shahatta [: shita] kara ? %mov:"21125"_212243_214946
    FATnande yaro naa . %mov:"21125"_214946_216641
  2. CHInani shahatta [: shita] kara ? %mov:"21125"_212243_214946
    FATnande yaro naa . %mov:"21125"_214946_216641
    FAT*FAT: kenka shiten nya . %mov:"21125"_216641_217602
    FATdotchi ga warui no ka na ? %mov:"21125"_217602_219760
    CHIkotchi ga warui . %mov:"21125"_219760_222257
  3. FATsore ka ? %mov:"21125"_1639521_1640353
    CHIun . %mov:"21125"_1640353_1640948
    FAT*FAT: dare no kuruma ka wakaru yoo ni shiten ne . %mov:"21125"_1640948_1643572
    CHIsoo ya . %mov:"21125"_1643572_1645688
    FATun . %mov:"21125"_1645688_1646211
  4. CHImada desu . %mov:"21125"_1940244_1942251
    CHIattakai shiteru kara na . %mov:"21125"_1942251_1949331
    FAT*FAT: attakai shiten no . %mov:"21125"_1949331_1950324
    CHIun . %mov:"21125"_1950324_1950804
    FATun . %mov:"21125"_1950804_1951425
  5. MOTJunchan . %mov:"21125"_3195424_3196980
    CHIhaai . %mov:"21125"_3196980_3198038
    MOT*MOT: nani shiten no,, Otoosan to . %mov:"21125"_3198038_3199814
    CHIOtoosan to naa +... %mov:"21125"_3199814_3200869
    MOTun . %mov:"21125"_3200869_3201407

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_ishii2.32
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/21125.chaJun 2;11.252,158552.32

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. shiten5 · 100.0%