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. wanwan, asobimasho . %mov:"10829"_194155_197207 FAT · japanese_ishii/10829.cha, line 133 · Jun 1;08
  2. asobimasho . %mov:"10829"_321763_323669 FAT · japanese_ishii/10829.cha, line 219 · Jun 1;08
  1. japanese_ishii/10829.cha, line 133 · Jun, 1;8.29
    FAThai, aatoo [: arigatoo] . %mov:"10829"_191398_192275
    CHIee een . %mov:"10829"_192275_194155
    FAT*FAT: wanwan, asobimasho . %mov:"10829"_194155_197207
    FATwanwan ! %mov:"10829"_197207_199113
    FATwanwan ! %mov:"10829"_199113_200814
  2. japanese_ishii/10829.cha, line 219 · Jun, 1;8.29
    FATwanwaan@o . %mov:"10829"_319568_320520
    FATwanwan@o yoo . %mov:"10829"_320520_321763
    FAT*FAT: asobimasho . %mov:"10829"_321763_323669
    FATwanwan@o yo . %mov:"10829"_323669_324569
    CHIiyaa . %mov:"10829"_324569_325586

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. asobimasho2 · 100.0%