PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

8.94 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (276 utterances, 559 words searched).

  1. (a)chii [= fire] to chigau yo [<] . %mov:"00907"_270215_272340 FAT · japanese_ishii/00907.cha, line 219 · Jun 0;09
  2. are (a)chii (dewa) nai yo . %mov:"00907"_272340_273324 FAT · japanese_ishii/00907.cha, line 220 · Jun 0;09
  3. (a)chii (to) chigau yo . %mov:"00907"_289019_291088 FAT · japanese_ishii/00907.cha, line 229 · Jun 0;09
  4. chotto matte yaa [: yo] . %mov:"00907"_401031_402055 FAT · japanese_ishii/00907.cha, line 303 · Jun 0;09
  5. hai, kotchi (e) oitage [: oiteage] yo ka ? %mov:"00907"_494219_496004 FAT · japanese_ishii/00907.cha, line 317 · Jun 0;09
  1. FATae ? %mov:"00907"_269572_270215
    CHIunfu [>] . %mov:"00907"_270215_272340
    FAT*FAT: (a)chii [= fire] to chigau yo [<] . %mov:"00907"_270215_272340
    FATare (a)chii (dewa) nai yo . %mov:"00907"_272340_273324
    CHIxxx . %mov:"00907"_273324_274529
  2. CHIunfu [>] . %mov:"00907"_270215_272340
    FAT(a)chii [= fire] to chigau yo [<] . %mov:"00907"_270215_272340
    FAT*FAT: are (a)chii (dewa) nai yo . %mov:"00907"_272340_273324
    CHIxxx . %mov:"00907"_273324_274529
    CHIufun fuu xxx . %mov:"00907"_274529_279943
  3. FATakai no wa (a)chii ka ? %mov:"00907"_286529_287620
    FATuun ? %mov:"00907"_287620_289019
    FAT*FAT: (a)chii (to) chigau yo . %mov:"00907"_289019_291088
    FATee ! %mov:"00907"_291088_292205
    FATohana fuko [: fukou] ,, ohana . %mov:"00907"_292205_293603
  4. FATun . %mov:"00907"_398016_399718
    FATgohon motte koo [: koyou] ka ? %mov:"00907"_399718_401031
    FAT*FAT: chotto matte yaa [: yo] . %mov:"00907"_401031_402055
    CHIa . %mov:"00907"_402055_402055
    FATyoshi . %mov:"00907"_409041_409975
  5. CHIi . %mov:"00907"_439703_443800
    CHIxxx . %mov:"00907"_443800_470547
    FAT*FAT: hai, kotchi (e) oitage [: oiteage] yo ka ? %mov:"00907"_494219_496004
    FAThai . %mov:"00907"_496004_496766
    FATe . %mov:"00907"_496766_501277

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_ishii8.94
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/00907.chaJun 0;9.07559558.94

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. yo5 · 100.0%