PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

2.29 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (354 utterances, 874 words searched).

  1. enjin yan ka . %mov:"20323"_187842_189197 FAT · japanese_ishii/20323.cha, line 111 · Jun 2;03
  2. a, kore mo enjin xxx . %mov:"20323"_298954_302717 FAT · japanese_ishii/20323.cha, line 183 · Jun 2;03
  1. japanese_ishii/20323.cha, line 111 · Jun, 2;3.23
    FATnan deshita ka ne,, kore wa ? %mov:"20323"_185217_186801
    CHIkowashita . %mov:"20323"_186801_187842
    FAT*FAT: enjin yan ka . %mov:"20323"_187842_189197
    CHIenjin . %mov:"20323"_189197_189994
    FATwasureta ? %mov:"20323"_189994_191094
  2. japanese_ishii/20323.cha, line 183 · Jun, 2;3.23
    CHIhai . %mov:"20323"_293736_294498
    FATa, ochita . %mov:"20323"_294498_298954
    FAT*FAT: a, kore mo enjin xxx . %mov:"20323"_298954_302717
    CHIenjin aru . %mov:"20323"_302717_304462
    CHIkoe mo enjin au . %mov:"20323"_304462_307175

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_ishii2.29
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20323.chaJun 2;3.23874222.29

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. enjin2 · 100.0%