PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

1.74 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (482 utterances, 1,150 words searched).

  1. xxx naa, anta . %mov:"30203"_1831948_1834492 MOT · japanese_ishii/30203.cha, line 640 · Jun 3;02
  2. anta tsukurahen yuuta kara ya . %mov:"30203"_2715920_2717377 FAT · japanese_ishii/30203.cha, line 902 · Jun 3;02
  1. CHIOkaasan, Maakun no jitensha i # ano na iretoki . %mov:"30203"_1823960_1830863
    MOThai, iretoku . %mov:"30203"_1830863_1831948
    MOT*MOT: xxx naa, anta . %mov:"30203"_1831948_1834492
    CHInaa, koko de yaro,, koko de . %mov:"30203"_1834492_1837312
    FATun . %mov:"30203"_1837312_1838431
  2. CHIa, herikoputaa no kore atta, totta ! %mov:"30203"_2709218_2715352
    FATtsukurinasai na . %mov:"30203"_2715352_2715920
    FAT*FAT: anta tsukurahen yuuta kara ya . %mov:"30203"_2715920_2717377
    FATn ? %mov:"30203"_2717377_2718074
    CHIherikoputaa no ya,, kore wa . %mov:"30203"_2718074_2720578

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_ishii1.74
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/30203.chaJun 3;2.031,150221.74

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. anta2 · 100.0%