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. akan yan ka . %mov:"30507"_42088_43061 FAT · japanese_ishii/30507.cha, line 38 · Jun 3;05
  2. gomi hokashiniikana [: hikoshiniikanaito] akan . %mov:"30507"_1236775_1240809 FAT · japanese_ishii/30507.cha, line 627 · Jun 3;05
  1. FATdare konna toko hatta n ? %mov:"30507"_39065_40720
    CHIJunkun ya . %mov:"30507"_40720_42088
    FAT*FAT: akan yan ka . %mov:"30507"_42088_43061
    FATko [//] tai [//] taisetsuna jidoosha ya roo . %mov:"30507"_43061_47550
    CHIxxx . %mov:"30507"_47550_50238
  2. CHInani ga haitteru . %mov:"30507"_1233285_1236291
    FATgomi . %mov:"30507"_1236291_1236775
    FAT*FAT: gomi hokashiniikana [: hikoshiniikanaito] akan . %mov:"30507"_1236775_1240809
    CHIgomi hokosu toko nai ka ? %mov:"30507"_1240809_1251546
    FATn ? %mov:"30507"_1251546_1252197

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. akan2 · 100.0%