PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

3.23 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (274 utterances, 619 words searched).

  1. a, honto . %mov:"10829"_15445_16600 FAT · japanese_ishii/10829.cha, line 27 · Jun 1;08
  2. honto . %mov:"10829"_37799_38351 FAT · japanese_ishii/10829.cha, line 40 · Jun 1;08
  1. japanese_ishii/10829.cha, line 27 · Jun, 1;8.29
    FATmisete . %mov:"10829"_14519_14946
    FATtoto ? %mov:"10829"_14946_15445
    FAT*FAT: a, honto . %mov:"10829"_15445_16600
    FATtoto ya [: da] na . %mov:"10829"_16600_17555
    FATna [//] naka (ni) nani ga haitten [: haitteiru] no ? %mov:"10829"_17555_17555
  2. japanese_ishii/10829.cha, line 40 · Jun, 1;8.29
    FATnai wa . %mov:"10829"_35780_36694
    CHIpuchii . %mov:"10829"_36694_37799
    FAT*FAT: honto . %mov:"10829"_37799_38351
    CHIhoa . %mov:"10829"_38351_41750
    FATe ? %mov:"10829"_41750_43723

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_ishii3.23
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/10829.chaJun 1;8.29619223.23

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. honto2 · 100.0%