PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

2.42 per 1,000 words of the child (CHI), in 1 of 1 transcripts (449 utterances, 828 words searched).

  1. hoe, ottaangeta . %mov:"20304"_223706_223706 CHI · japanese_ishii/20304.cha, line 131 · Jun 2;03
  2. hoe, na ? %mov:"20304"_857467_861731 CHI · japanese_ishii/20304.cha, line 493 · Jun 2;03
  1. japanese_ishii/20304.cha, line 131 · Jun, 2;3.04
    CHIuu, wa ! %mov:"20304"_217610_222679
    CHIa katai . %mov:"20304"_222679_223706
    CHI*CHI: hoe, ottaangeta . %mov:"20304"_223706_223706
    CHIkoko o ? %mov:"20304"_226349_230102
    FATa ! %mov:"20304"_230102_230923
  2. japanese_ishii/20304.cha, line 493 · Jun, 2;3.04
    FATbuwaan@o sugoi nee . %mov:"20304"_855153_856641
    FAThayai nee . %mov:"20304"_856641_857467
    CHI*CHI: hoe, na ? %mov:"20304"_857467_861731
    FATun . %mov:"20304"_861731_862113
    CHIuu, bashu wa koe na ? %mov:"20304"_862113_864258

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_ishii2.42
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20304.chaJun 2;3.04828222.42

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. hoe2 · 100.0%