PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

2.25 per 1,000 words of the child (CHI), in 1 of 1 transcripts (436 utterances, 889 words searched).

  1. hai moo nai de . %mov:"20415"_1872535_1875243 CHI · japanese_ishii/20415.cha, line 979 · Jun 2;04
  2. hai moo nai de . %mov:"20415"_1889917_1896686 CHI · japanese_ishii/20415.cha, line 988 · Jun 2;04
  1. japanese_ishii/20415.cha, line 979 · Jun, 2;4.15
    FATaa ! %mov:"20415"_1863695_1868227
    CHIjaa shita de . %mov:"20415"_1868227_1872535
    CHI*CHI: hai moo nai de . %mov:"20415"_1872535_1875243
    FATxxx . %mov:"20415"_1875243_1876574
    CHIn ? %mov:"20415"_1876574_1877117
  2. japanese_ishii/20415.cha, line 988 · Jun, 2;4.15
    CHIiku dee . %mov:"20415"_1882955_1889318
    FAThai . %mov:"20415"_1889318_1889917
    CHI*CHI: hai moo nai de . %mov:"20415"_1889917_1896686
    FATmada aru yo . %mov:"20415"_1896686_1897482
    FAThai, moo oshimai ka ? %mov:"20415"_1897482_1901931

Matches by age

One dot per transcript: matches per 1,000 words of the child (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_ishii2.25
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20415.chaJun 2;4.15889222.25

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. hai2 · 100.0%