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. bashu kita doo . %mov:"20225"_615762_618352 CHI · japanese_ishii/20225.cha, line 344 · Jun 2;02
  2. hai, basu kita doo . %mov:"20225"_1235363_1245280 CHI · japanese_ishii/20225.cha, line 564 · Jun 2;02
  1. japanese_ishii/20225.cha, line 344 · Jun, 2;2.25
    FAThaai . %mov:"20225"_608933_610545
    CHIbashu kita zoo . %mov:"20225"_610545_615762
    CHI*CHI: bashu kita doo . %mov:"20225"_615762_618352
    FATbasu kita zoo . %mov:"20225"_618352_619519
    FAThaai . %mov:"20225"_619519_629749
  2. japanese_ishii/20225.cha, line 564 · Jun, 2;2.25
    FATton no,, kore ? %mov:"20225"_1233411_1234603
    FAThai . %mov:"20225"_1234603_1235363
    CHI*CHI: hai, basu kita doo . %mov:"20225"_1235363_1245280
    FATbasu kita zoo . %mov:"20225"_1245280_1246562
    FATnarandekudasai . %mov:"20225"_1246562_1248238

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. doo2 · 100.0%