PHPCLANCHILDES with regular expressions

3 matches in 2 utterances

4.87 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (282 utterances, 616 words searched).

  1. torehen [: torenai] . %mov:"10029"_659540_660201 FAT · japanese_ishii/10029.cha, line 336 · Jun 1;00
  2. torenai torenai . %mov:"10029"_660201_661365 FAT · japanese_ishii/10029.cha, line 337 · Jun 1;00
  3. torenai torenai . %mov:"10029"_660201_661365 FAT · japanese_ishii/10029.cha, line 337 · Jun 1;00
  1. CHIaa . %mov:"10029"_658340_659116
    FAThaitta . %mov:"10029"_659116_659540
    FAT*FAT: torehen [: torenai] . %mov:"10029"_659540_660201
    FATtorenai torenai . %mov:"10029"_660201_661365
    FATtoreru ka na ? %mov:"10029"_661365_663592
  2. FAThaitta . %mov:"10029"_659116_659540
    FATtorehen [: torenai] . %mov:"10029"_659540_660201
    FAT*FAT: torenai torenai . %mov:"10029"_660201_661365
    FATtoreru ka na ? %mov:"10029"_661365_663592
    FAThai . %mov:"10029"_663592_666213

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_ishii4.87
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/10029.chaJun 1;0.29616234.87

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. torenai3 · 100.0%