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. ko . %mov:"11116"_225814_230174 CHI · japanese_ishii/11116.cha, line 181 · Jun 1;11
  2. ko meme . %mov:"11116"_264853_266785 CHI · japanese_ishii/11116.cha, line 206 · Jun 1;11
  1. japanese_ishii/11116.cha, line 181 · Jun, 1;11.16
    FAThonto ? %mov:"11116"_222788_224198
    CHIxxx . %mov:"11116"_224198_225814
    CHI*CHI: ko . %mov:"11116"_225814_230174
    CHIeencha . %mov:"11116"_230174_231774
    FATdensha . %mov:"11116"_231774_232418
  2. japanese_ishii/11116.cha, line 206 · Jun, 1;11.16
    CHImee # ensha . %mov:"11116"_260365_262885
    FATJunkun no meme [= eyes] doko desu ka ? %mov:"11116"_262885_264853
    CHI*CHI: ko meme . %mov:"11116"_264853_266785
    FATun, Junkun, Junkun no meme wa? %mov:"11116"_266785_269653
    FATdoko ? %mov:"11116"_269653_271067

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. ko2 · 100.0%