PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

3.33 per 1,000 words of the child (CHI), in 1 of 1 transcripts (343 utterances, 601 words searched).

  1. e asobo . %mov:"20225"_1626039_1628120 CHI · japanese_ishii/20225.cha, line 773 · Jun 2;02
  2. bubuu e hippaten no [>] . %mov:"20225"_1688457_1691655 CHI · japanese_ishii/20225.cha, line 810 · Jun 2;02
  1. FATitai naa . %mov:"20225"_1620425_1624445
    FATbatan@o shita yan ka . %mov:"20225"_1624445_1626039
    CHI*CHI: e asobo . %mov:"20225"_1626039_1628120
    FATasobu [//] nani shite asobo ? %mov:"20225"_1628120_1629607
    FATgohon miyo ka ? %mov:"20225"_1629607_1635370
  2. CHIhoe . %mov:"20225"_1682388_1682886
    CHIhipaten no # bobooshushu . %mov:"20225"_1682886_1688457
    CHI*CHI: bubuu e hippaten no [>] . %mov:"20225"_1688457_1691655
    FAThippatten no [<] . %mov:"20225"_1688457_1691655
    CHIboboshushu . %mov:"20225"_1691655_1694037

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_ishii3.33
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20225.chaJun 2;2.25601223.33

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. e2 · 100.0%