PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

2.33 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (351 utterances, 859 words searched).

  1. hai, Okaasan # toko ittekinasai . %mov:"20524"_595227_601036 FAT · japanese_ishii/20524.cha, line 301 · Jun 2;05
  2. hai, mitetageru kara . %mov:"20524"_1428658_1430184 FAT · japanese_ishii/20524.cha, line 689 · Jun 2;05
  1. FATnee ? %mov:"20524"_585302_586578
    CHIxxx . %mov:"20524"_586578_595227
    FAT*FAT: hai, Okaasan # toko ittekinasai . %mov:"20524"_595227_601036
    FATunko tottekinasai . %mov:"20524"_601036_602443
    CHIxxx . %mov:"20524"_602443_603783
  2. FAToshiri itaku naru kara tottekinasai . %mov:"20524"_1424521_1426300
    CHIdensha koko . %mov:"20524"_1426300_1428658
    FAT*FAT: hai, mitetageru kara . %mov:"20524"_1428658_1430184
    FATOtoosan narabetoitageru kara hayo ikinasai . %mov:"20524"_1430184_1432134
    CHIchoo [: chotto] matte . %mov:"20524"_1432134_1435975

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_ishii2.33
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20524.chaJun 2;5.24859222.33

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. hai2 · 100.0%