PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

3.14 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (388 utterances, 956 words searched).

  1. toreru ka ? %mov:"20205"_1244358_1245975 FAT · japanese_ishii/20205.cha, line 664 · Jun 2;02
  2. toreru ? %mov:"20205"_1247394_1248008 FAT · japanese_ishii/20205.cha, line 667 · Jun 2;02
  3. toreru ka naa ? %mov:"20205"_1256851_1258452 FAT · japanese_ishii/20205.cha, line 676 · Jun 2;02
  1. CHImataa . %mov:"20205"_1241459_1243386
    FATmata atta ? %mov:"20205"_1243386_1244358
    FAT*FAT: toreru ka ? %mov:"20205"_1244358_1245975
    CHIn ? %mov:"20205"_1245975_1247394
    FATtoreru ? %mov:"20205"_1247394_1248008
  2. FATtoreru ka ? %mov:"20205"_1244358_1245975
    CHIn ? %mov:"20205"_1245975_1247394
    FAT*FAT: toreru ? %mov:"20205"_1247394_1248008
    CHItoreuobaa . %mov:"20205"_1248008_1250544
    FATe ? %mov:"20205"_1250544_1250941
  3. CHIhore . %mov:"20205"_1255750_1256301
    FATyoisho ! %mov:"20205"_1256301_1256851
    FAT*FAT: toreru ka naa ? %mov:"20205"_1256851_1258452
    FAThai, toreta . %mov:"20205"_1258452_1260409
    FATyoisho . %mov:"20205"_1260409_1262417

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_ishii3.14
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20205.chaJun 2;2.05956333.14

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. toreru3 · 100.0%