PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

2.01 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (397 utterances, 994 words searched).

  1. memee [//] meme [= bug] ga hairu yo . %mov:"20212"_1517414_1518770 FAT · japanese_ishii/20212.cha, line 846 · Jun 2;02
  2. meme ga hairu zo . %mov:"20212"_1536970_1540315 FAT · japanese_ishii/20212.cha, line 853 · Jun 2;02
  1. FATmoo ii yo . %mov:"20212"_1514216_1516646
    FATsore aketara dame . %mov:"20212"_1516646_1517414
    FAT*FAT: memee [//] meme [= bug] ga hairu yo . %mov:"20212"_1517414_1518770
    FATmeme kuru kara soko shime +... %mov:"20212"_1518770_1521487
    CHIa, meme . %mov:"20212"_1521487_1522664
  2. FATwakatta no ? %mov:"20212"_1529517_1532596
    FATJun, kikoeta no ? %mov:"20212"_1532596_1536970
    FAT*FAT: meme ga hairu zo . %mov:"20212"_1536970_1540315
    FATkanan yo,, meme ga haittara . %mov:"20212"_1540315_1545830
    FATdoo shuru [: suru] ? %mov:"20212"_1545830_1546496

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_ishii2.01
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20212.chaJun 2;2.12994222.01

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. hairu2 · 100.0%