PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

1.95 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (386 utterances, 1,028 words searched).

  1. zaa@o tte ame ga futten nee . %mov:"11126"_489563_490844 FAT · japanese_ishii/11126.cha, line 376 · Jun 1;11
  2. ame ga futten nya nee . %mov:"11126"_1038489_1041139 FAT · japanese_ishii/11126.cha, line 782 · Jun 1;11
  1. FATbatan@o yoo, batan suru yoo . %mov:"11126"_485502_487309
    CHIo jaa . %mov:"11126"_487309_489563
    FAT*FAT: zaa@o tte ame ga futten nee . %mov:"11126"_489563_490844
    FATabunai nee . %mov:"11126"_490844_491766
    CHImai nee . %mov:"11126"_491766_493505
  2. FATitchatta, soo ya . %mov:"11126"_1035743_1036775
    FATsoo ya, moo kaze itchatta yo . %mov:"11126"_1036775_1038489
    FAT*FAT: ame ga futten nya nee . %mov:"11126"_1038489_1041139
    CHIkowai . %mov:"11126"_1041139_1044199
    FATwaa ! %mov:"11126"_1044199_1045273

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_ishii1.95
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/11126.chaJun 1;11.261,028221.95

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. futten2 · 100.0%