PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

2.65 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (285 utterances, 754 words searched).

  1. okaimon iku no . %mov:"30507"_101841_102927 FAT · japanese_ishii/30507.cha, line 72 · Jun 3;05
  2. doko okaimon ikimasu ka ? %mov:"30507"_104008_106501 FAT · japanese_ishii/30507.cha, line 74 · Jun 3;05
  1. japanese_ishii/30507.cha, line 72 · Jun, 3;5.07
    FATkore wa doko iku n desu ka . %mov:"30507"_98060_100137
    CHIokaimon desu . %mov:"30507"_100137_101841
    FAT*FAT: okaimon iku no . %mov:"30507"_101841_102927
    FAThaai . %mov:"30507"_102927_104008
    FATdoko okaimon ikimasu ka ? %mov:"30507"_104008_106501
  2. japanese_ishii/30507.cha, line 74 · Jun, 3;5.07
    FATokaimon iku no . %mov:"30507"_101841_102927
    FAThaai . %mov:"30507"_102927_104008
    FAT*FAT: doko okaimon ikimasu ka ? %mov:"30507"_104008_106501
    CHItooi koko [: toko] desu yo . %mov:"30507"_106501_108426
    FATe ? %mov:"30507"_108426_108842

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_ishii2.65
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/30507.chaJun 3;5.07754222.65

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. okaimon2 · 100.0%