PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

3.23 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (274 utterances, 619 words searched).

  1. atama itai,, sonnna (koto) shitara . %mov:"10829"_100172_102987 FAT · japanese_ishii/10829.cha, line 75 · Jun 1;08
  2. sonna shitara nai wa . %mov:"10829"_801513_803084 FAT · japanese_ishii/10829.cha, line 517 · Jun 1;08
  1. FATsore wa futa shinai no . %mov:"10829"_92924_95823
    CHIehen . %mov:"10829"_95823_95823
    FAT*FAT: atama itai,, sonnna (koto) shitara . %mov:"10829"_100172_102987
    FATkora ! %mov:"10829"_102987_110810
    CHIata # aitaa . %mov:"10829"_110810_113390
  2. CHIwaa ! %mov:"10829"_800002_800613
    FATdekitadekita . %mov:"10829"_800613_801513
    FAT*FAT: sonna shitara nai wa . %mov:"10829"_801513_803084
    FATaa ? %mov:"10829"_803084_805843
    FATkoo yaro [: darou] . %mov:"10829"_805843_810090

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_ishii3.23
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/10829.chaJun 1;8.29619223.23

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. shitara2 · 100.0%