PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

5.09 per 1,000 words of the child (CHI), in 1 of 1 transcripts (282 utterances, 393 words searched).

  1. mooi . %mov:"11116"_305475_306349 CHI · japanese_ishii/11116.cha, line 240 · Jun 1;11
  2. mooi . %mov:"11116"_319017_320125 CHI · japanese_ishii/11116.cha, line 252 · Jun 1;11
  1. japanese_ishii/11116.cha, line 240 · Jun, 1;11.16
    CHIiya . %mov:"11116"_302641_304911
    FATmoo ii ? %mov:"11116"_304911_305475
    CHI*CHI: mooi . %mov:"11116"_305475_306349
    FATmoo ii no ? %mov:"11116"_306349_307183
    FATkinoo Otoosan koko shita ne, Papa . %mov:"11116"_307183_309315
  2. japanese_ishii/11116.cha, line 252 · Jun, 1;11.16
    FATmotto shoo ka ? %mov:"11116"_316195_318493
    FATmoo ii ? %mov:"11116"_318493_319017
    CHI*CHI: mooi . %mov:"11116"_319017_320125
    FATmoo ii ? %mov:"11116"_320125_320774
    CHIensha . %mov:"11116"_320774_322630

Matches by age

One dot per transcript: matches per 1,000 words of the child (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_ishii5.09
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/11116.chaJun 1;11.16393225.09

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. mooi2 · 100.0%