PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

3.11 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (264 utterances, 643 words searched).

  1. basu (wa) dore ? %mov:"10106"_448923_449802 FAT · japanese_ishii/10106.cha, line 298 · Jun 1;01
  2. torakku (wa) dore ? %mov:"10106"_460857_461754 FAT · japanese_ishii/10106.cha, line 311 · Jun 1;01
  1. japanese_ishii/10106.cha, line 298 · Jun, 1;01.06
    FATuun . %mov:"10106"_446800_447571
    CHIuun ta . %mov:"10106"_447571_448923
    FAT*FAT: basu (wa) dore ? %mov:"10106"_448923_449802
    FATsore (wa) bashu [: basu] . %mov:"10106"_449802_452260
    FATbashu [: basu] . %mov:"10106"_452260_453861
  2. japanese_ishii/10106.cha, line 311 · Jun, 1;01.06
    FATtorakku wa [>] . %mov:"10106"_459163_460857
    CHIuu [<] . %mov:"10106"_459163_460857
    FAT*FAT: torakku (wa) dore ? %mov:"10106"_460857_461754
    CHIaatao . %mov:"10106"_461754_464036
    FATaa . %mov:"10106"_464036_464516

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_ishii3.11
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/10106.chaJun 1;01.06643223.11

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. dore2 · 100.0%