PHPCLANCHILDES with regular expressions

3 matches in 2 utterances

5.61 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (259 utterances, 535 words searched).

  1. haai # haai . %mov:"10816"_93775_98724 FAT · japanese_ishii/10816.cha, line 92 · Jun 1;08
  2. haai # haai . %mov:"10816"_93775_98724 FAT · japanese_ishii/10816.cha, line 92 · Jun 1;08
  3. haai, kondo kore mimasho ka ? %mov:"10816"_337899_339708 FAT · japanese_ishii/10816.cha, line 339 · Jun 1;08
  1. FATwa ! %mov:"10816"_91887_93105
    CHInegu . %mov:"10816"_93105_93775
    FAT*FAT: haai # haai . %mov:"10816"_93775_98724
    CHIuguebua . %mov:"10816"_98724_100698
    FATun . %mov:"10816"_100698_101143
  2. CHIbabaa ! %mov:"10816"_334899_336171
    CHIbabaan . %mov:"10816"_336171_337899
    FAT*FAT: haai, kondo kore mimasho ka ? %mov:"10816"_337899_339708
    CHInaiwaa . %mov:"10816"_339708_340889
    FATe ? %mov:"10816"_340889_341527

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_ishii5.61
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/10816.chaJun 1;8.16535235.61

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. haai3 · 100.0%