PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

7.48 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (259 utterances, 535 words searched).

  1. buun@o da . %mov:"10816"_429665_431075 FAT · japanese_ishii/10816.cha, line 413 · Jun 1;08
  2. xxx hora, buun@o [>] . %mov:"10816"_433722_435537 FAT · japanese_ishii/10816.cha, line 416 · Jun 1;08
  3. buun@o [<] . %mov:"10816"_478183_479318 FAT · japanese_ishii/10816.cha, line 464 · Jun 1;08
  4. buun@o ga ii no ? %mov:"10816"_613556_614740 FAT · japanese_ishii/10816.cha, line 569 · Jun 1;08
  1. CHIbuu [>] . %mov:"10816"_428040_429665
    FAT<hikooki> [<] daa . %mov:"10816"_428040_429665
    FAT*FAT: buun@o da . %mov:"10816"_429665_431075
    CHIbuu . %mov:"10816"_431075_432790
    FATuun . %mov:"10816"_432790_433722
  2. CHIbuu . %mov:"10816"_431075_432790
    FATuun . %mov:"10816"_432790_433722
    FAT*FAT: xxx hora, buun@o [>] . %mov:"10816"_433722_435537
    CHIa [<] ! %mov:"10816"_433722_435537
    CHIa ! %mov:"10816"_435537_436048
  3. FATuun [<] .%mov:"10816"_472102_478183
    CHIa a [>] . %mov:"10816"_478183_479518
    FAT*FAT: buun@o [<] . %mov:"10816"_478183_479318
    CHIa a ? %mov:"10816"_479318_479762
    FATa a ? %mov:"10816"_479762_480489
  4. CHIatchacha . %mov:"10816"_610696_611908
    CHIbuuya # buuya . %mov:"10816"_611908_613556
    FAT*FAT: buun@o ga ii no ? %mov:"10816"_613556_614740
    FAThikooki no toko [: tokoro] ga [>] . %mov:"10816"_614740_616245
    CHIbuu [<] . %mov:"10816"_614740_616245

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_ishii7.48
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/10816.chaJun 1;8.16535447.48

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. buun4 · 100.0%