PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

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

  1. are ton no ? %mov:"20205"_1252467_1253690 FAT · japanese_ishii/20205.cha, line 671 · Jun 2;02
  2. a, are doo shita ? %mov:"20205"_1341433_1342817 FAT · japanese_ishii/20205.cha, line 731 · Jun 2;02
  1. japanese_ishii/20205.cha, line 671 · Jun, 2;2.05
    FATe ? %mov:"20205"_1250544_1250941
    CHIn totte . %mov:"20205"_1250941_1252467
    FAT*FAT: are ton no ? %mov:"20205"_1252467_1253690
    CHIton no are . %mov:"20205"_1253690_1255084
    FATtotte . %mov:"20205"_1255084_1255750
  2. japanese_ishii/20205.cha, line 731 · Jun, 2;2.05
    FATsekkaku narabeta no ni . %mov:"20205"_1336404_1338010
    CHIissho ya hore . %mov:"20205"_1338010_1341433
    FAT*FAT: a, are doo shita ? %mov:"20205"_1341433_1342817
    CHIn ? %mov:"20205"_1342817_1344603
    CHIxxx wa . %mov:"20205"_1344603_1355126

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_ishii2.09
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20205.chaJun 2;2.05956222.09

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. are2 · 100.0%