PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

4.38 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (193 utterances, 457 words searched).

  1. wanwanwan <wan> [>] . %mov:"10021"_383900_384929 FAT · japanese_ishii/10021.cha, line 224 · Jun 1;00
  2. hai, wan +... %mov:"10021"_688587_688587 FAT · japanese_ishii/10021.cha, line 396 · Jun 1;00
  1. japanese_ishii/10021.cha, line 224 · Jun, 1;0.21
    CHIja . %mov:"10021"_381470_382211
    CHIwanwanwanwan . %mov:"10021"_382211_383900
    FAT*FAT: wanwanwan <wan> [>] . %mov:"10021"_383900_384929
    CHIwan [<] . %mov:"10021"_383900_384929
    FATJunkun yo . %mov:"10021"_384929_386400
  2. japanese_ishii/10021.cha, line 396 · Jun, 1;0.21
    FATooisho [: yoisho] ! %mov:"10021"_683972_686726
    FATyoisho ! %mov:"10021"_686726_688587
    FAT*FAT: hai, wan +... %mov:"10021"_688587_688587
    FATwanwan@o (ga) koko (ni) hairi mashu [: masu] yoo . %mov:"10021"_690909_692616
    FATa ? %mov:"10021"_692616_695300

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_ishii4.38
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/10021.chaJun 1;0.21457224.38

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. wan2 · 100.0%