PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

6.49 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (118 utterances, 308 words searched).

  1. nennee shinasai . %mov:"10616"_217453_219476 FAT · japanese_ishii/10616.cha, line 131 · Jun 1;06
  2. wanwan@o nennee shinasai . %mov:"10616"_219476_221407 FAT · japanese_ishii/10616.cha, line 132 · Jun 1;06
  1. FATtatchii shite kudasai . %mov:"10616"_214807_215797
    FATkono wanwan@o mo nenne shoo ka ? %mov:"10616"_215797_217453
    FAT*FAT: nennee shinasai . %mov:"10616"_217453_219476
    FATwanwan@o nennee shinasai . %mov:"10616"_219476_221407
    CHInennee . %mov:"10616"_221407_222685
  2. FATkono wanwan@o mo nenne shoo ka ? %mov:"10616"_215797_217453
    FATnennee shinasai . %mov:"10616"_217453_219476
    FAT*FAT: wanwan@o nennee shinasai . %mov:"10616"_219476_221407
    CHInennee . %mov:"10616"_221407_222685
    FATsoosoo . %mov:"10616"_222685_223389

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_ishii6.49
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/10616.chaJun 1;6.16308226.49

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. shinasai2 · 100.0%