PHPCLANCHILDES with regular expressions

3 matches in 2 utterances

3.01 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (405 utterances, 996 words searched).

  1. mieru ka ? %mov:"20320"_1186213_1186877 FAT · japanese_ishii/20320.cha, line 577 · Jun 2;03
  2. mieru mieru . %mov:"20320"_1186877_1188705 FAT · japanese_ishii/20320.cha, line 578 · Jun 2;03
  3. mieru mieru . %mov:"20320"_1186877_1188705 FAT · japanese_ishii/20320.cha, line 578 · Jun 2;03
  1. CHIhaittaa . %mov:"20320"_1183662_1185042
    FATdoko ni . %mov:"20320"_1185042_1186213
    FAT*FAT: mieru ka ? %mov:"20320"_1186213_1186877
    FATmieru mieru . %mov:"20320"_1186877_1188705
    FATkaijuu ga imasu . %mov:"20320"_1188705_1189850
  2. FATdoko ni . %mov:"20320"_1185042_1186213
    FATmieru ka ? %mov:"20320"_1186213_1186877
    FAT*FAT: mieru mieru . %mov:"20320"_1186877_1188705
    FATkaijuu ga imasu . %mov:"20320"_1188705_1189850
    CHIita . %mov:"20320"_1189850_1193717

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_ishii3.01
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20320.chaJun 2;3.20996233.01

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. mieru3 · 100.0%