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. sore meme chigau [>] . %mov:"20108"_240311_241886 FAT · japanese_ishii/20108.cha, line 177 · Jun 2;01
  2. sore niichan chigau no ? %mov:"20108"_430899_432040 FAT · japanese_ishii/20108.cha, line 286 · Jun 2;01
  1. japanese_ishii/20108.cha, line 177 · Jun, 2;1.08
    FATohana . %mov:"20108"_239177_239709
    CHImeme ? %mov:"20108"_239709_240311
    FAT*FAT: sore meme chigau [>] . %mov:"20108"_240311_241886
    CHImeme [<] . %mov:"20108"_240311_241886
    FATohana . %mov:"20108"_241886_242453
  2. japanese_ishii/20108.cha, line 286 · Jun, 2;1.08
    FATJun wa ? %mov:"20108"_427629_428351
    FATJun sore? %mov:"20108"_428351_430899
    FAT*FAT: sore niichan chigau no ? %mov:"20108"_430899_432040
    FATa, buuranko shiteru no . %mov:"20108"_432040_434344
    FATkore nani shiten no,, kono hito ? %mov:"20108"_434344_435753

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. chigau2 · 100.0%