PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

17.24 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (167 utterances, 290 words searched).

  1. yooshi, kondo wa naka (ni) irete yaroo ka na . %mov:"00800"_98503_101873 FAT · japanese_ishii/00800.cha, line 58 · Jun 0;08
  2. kore ka na ? %mov:"00800"_179314_180615 FAT · japanese_ishii/00800.cha, line 92 · Jun 0;08
  3. kore ka na ? %mov:"00800"_180615_184420 FAT · japanese_ishii/00800.cha, line 93 · Jun 0;08
  4. uun, mohitotsu na . %mov:"00800"_610190_611686 FAT · japanese_ishii/00800.cha, line 271 · Jun 0;08
  5. moo iya nan [: na no] . %mov:"00800"_786781_788377 FAT · japanese_ishii/00800.cha, line 352 · Jun 0;08
  1. FATa ! %mov:"00800"_84562_95849
    FATaa aa . %mov:"00800"_95849_98503
    FAT*FAT: yooshi, kondo wa naka (ni) irete yaroo ka na . %mov:"00800"_98503_101873
    FATare ? %mov:"00800"_101873_102704
    FATare ! %mov:"00800"_102704_103742
  2. FATkorokorokorokorokoro . %mov:"00800"_173039_176358
    CHIhi ? %mov:"00800"_176358_176358
    FAT*FAT: kore ka na ? %mov:"00800"_179314_180615
    FATkore ka na ? %mov:"00800"_180615_184420
    FATkorokorokorokorokoro tte xxx . %mov:"00800"_184420_186496
  3. CHIhi ? %mov:"00800"_176358_176358
    FATkore ka na ? %mov:"00800"_179314_180615
    FAT*FAT: kore ka na ? %mov:"00800"_180615_184420
    FATkorokorokorokorokoro tte xxx . %mov:"00800"_184420_186496
    FATkorokorokorokorokoro # a ! %mov:"00800"_186496_187801
  4. FATyoisho . %mov:"00800"_604989_608536
    CHIahaaha . %mov:"00800"_608536_610190
    FAT*FAT: uun, mohitotsu na . %mov:"00800"_610190_611686
    FATdekitaa . %mov:"00800"_611686_613484
    FATyoisho . %mov:"00800"_613484_614121
  5. CHIuya . %mov:"00800"_781888_783490
    FATyoisho . %mov:"00800"_783490_786781
    FAT*FAT: moo iya nan [: na no] . %mov:"00800"_786781_788377
    FATyoishoooo . %mov:"00800"_788377_790371

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_ishii17.24
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/00800.chaJun 0;8.012905517.24

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. na5 · 100.0%