PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

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

  1. honto . %mov:"10816"_277962_278471 FAT · japanese_ishii/10816.cha, line 276 · Jun 1;08
  2. honto ? %mov:"10816"_584455_585028 FAT · japanese_ishii/10816.cha, line 547 · Jun 1;08
  1. japanese_ishii/10816.cha, line 276 · Jun, 1;8.16
    FATnenne shiten no kaa ? %mov:"10816"_276050_277209
    CHInennee . %mov:"10816"_277209_277962
    FAT*FAT: honto . %mov:"10816"_277962_278471
    CHIbaaku . %mov:"10816"_278471_279591
    FATbaasu . %mov:"10816"_279591_280328
  2. japanese_ishii/10816.cha, line 547 · Jun, 1;8.16
    FATnani ga ? %mov:"10816"_582340_583089
    CHIaajeyaa . %mov:"10816"_583089_584455
    FAT*FAT: honto ? %mov:"10816"_584455_585028
    CHIajepou . %mov:"10816"_585028_586896
    FATsoo ka ? %mov:"10816"_586896_587353

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_ishii3.74
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/10816.chaJun 1;8.16535223.74

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. honto2 · 100.0%