PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

6.90 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (167 utterances, 290 words searched).

  1. hora, naa . %mov:"00800"_199052_199583 FAT · japanese_ishii/00800.cha, line 103 · Jun 0;08
  2. hikkakatta ka naa . %mov:"00800"_273167_274541 FAT · japanese_ishii/00800.cha, line 132 · Jun 0;08
  1. japanese_ishii/00800.cha, line 103 · Jun, 0;8.01
    FATuun ? %mov:"00800"_197500_197980
    FAThora . %mov:"00800"_197980_199052
    FAT*FAT: hora, naa . %mov:"00800"_199052_199583
    FATkorokorokoro . %mov:"00800"_199583_202407
    CHIugyuugyaagyaaugyu . %mov:"00800"_199583_206460
  2. japanese_ishii/00800.cha, line 132 · Jun, 0;8.01
    CHIun . %mov:"00800"_263685_263685
    FATxx a ! %mov:"00800"_268656_273167
    FAT*FAT: hikkakatta ka naa . %mov:"00800"_273167_274541
    FAThai, iku yoo . %mov:"00800"_274541_276238
    FATJunkun, iku yoo . %mov:"00800"_276238_277390

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_ishii6.90
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/00800.chaJun 0;8.01290226.90

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. naa2 · 100.0%