PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

2.67 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (295 utterances, 749 words searched).

  1. niichan wa ? %mov:"20108"_326937_327748 FAT · japanese_ishii/20108.cha, line 223 · Jun 2;01
  2. sore niichan chigau no ? %mov:"20108"_430899_432040 FAT · japanese_ishii/20108.cha, line 286 · Jun 2;01
  1. japanese_ishii/20108.cha, line 223 · Jun, 2;1.08
    FATJun dore ? %mov:"20108"_321350_322565
    FATsore Jun ka ? %mov:"20108"_322565_326937
    FAT*FAT: niichan wa ? %mov:"20108"_326937_327748
    FATneechan wa ? %mov:"20108"_327748_327748
    FATPapa wa doki ni iru ? %mov:"20108"_329921_332945
  2. japanese_ishii/20108.cha, line 286 · Jun, 2;1.08
    FATJun wa ? %mov:"20108"_427629_428351
    FATJun sore? %mov:"20108"_428351_430899
    FAT*FAT: sore niichan chigau no ? %mov:"20108"_430899_432040
    FATa, buuranko shiteru no . %mov:"20108"_432040_434344
    FATkore nani shiten no,, kono hito ? %mov:"20108"_434344_435753

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_ishii2.67
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20108.chaJun 2;1.08749222.67

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. niichan2 · 100.0%