PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

3.37 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (236 utterances, 593 words searched).

  1. saa, kondo wa dono gohon desu ka ? %mov:"10721"_281057_286793 FAT · japanese_ishii/10721.cha, line 215 · Jun 1;07
  2. gohon wa nai no, moo ? %mov:"10721"_381568_383713 FAT · japanese_ishii/10721.cha, line 289 · Jun 1;07
  1. japanese_ishii/10721.cha, line 215 · Jun, 1;7.21
    FATun bubuu@o mo aru . %mov:"10721"_276938_277998
    CHIwa ! %mov:"10721"_277998_281057
    FAT*FAT: saa, kondo wa dono gohon desu ka ? %mov:"10721"_281057_286793
    CHIbaayua . %mov:"10721"_286793_286793
    FATbuwaa . %mov:"10721"_288687_289316
  2. japanese_ishii/10721.cha, line 289 · Jun, 1;7.21
    CHIoo ? %mov:"10721"_378853_379940
    CHIxxx wa ? %mov:"10721"_379940_381568
    FAT*FAT: gohon wa nai no, moo ? %mov:"10721"_381568_383713
    CHIxxx . %mov:"10721"_383713_385873
    FATe ? %mov:"10721"_385873_386372

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_ishii3.37
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/10721.chaJun 1;7.21593223.37

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. gohon2 · 100.0%