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. hai, kotchi kite [<] . %mov:"20108"_269561_271075 FAT · japanese_ishii/20108.cha, line 190 · Jun 2;01
  2. kotchi kite osuwari shinasai . %mov:"20108"_271075_272155 FAT · japanese_ishii/20108.cha, line 191 · Jun 2;01
  1. CHImeme . %mov:"20108"_268331_269561
    CHIkowai [>] +... %mov:"20108"_269561_271075
    FAT*FAT: hai, kotchi kite [<] . %mov:"20108"_269561_271075
    FATkotchi kite osuwari shinasai . %mov:"20108"_271075_272155
    CHImeme # meme wa wa wa kowaii naa . %mov:"20108"_272155_276864
  2. CHIkowai [>] +... %mov:"20108"_269561_271075
    FAThai, kotchi kite [<] . %mov:"20108"_269561_271075
    FAT*FAT: kotchi kite osuwari shinasai . %mov:"20108"_271075_272155
    CHImeme # meme wa wa wa kowaii naa . %mov:"20108"_272155_276864
    FATkowai naa . %mov:"20108"_276864_278119

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. kite2 · 100.0%