PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

2.67 per 1,000 words of the child (CHI), in 1 of 1 transcripts (430 utterances, 749 words searched).

  1. aru no . %mov:"20205"_722722_723565 CHI · japanese_ishii/20205.cha, line 418 · Jun 2;02
  2. aru zoo # are . %mov:"20205"_1126233_1129482 CHI · japanese_ishii/20205.cha, line 613 · Jun 2;02
  1. japanese_ishii/20205.cha, line 418 · Jun, 2;2.05
    CHInyannya [<] . %mov:"20205"_720237_722057
    FATmoo nai no ? %mov:"20205"_722057_722722
    CHI*CHI: aru no . %mov:"20205"_722722_723565
    FATkaji moo nai no ? %mov:"20205"_723565_725327
    CHIxxx . %mov:"20205"_725327_727210
  2. japanese_ishii/20205.cha, line 613 · Jun, 2;2.05
    CHIii # daada ! %mov:"20205"_1114230_1125032
    FATmoo nai ka ? %mov:"20205"_1125032_1125032
    CHI*CHI: aru zoo # are . %mov:"20205"_1126233_1129482
    CHIxxx . %mov:"20205"_1129482_1131845
    CHIpiin towa . %mov:"20205"_1131845_1131845

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_ishii2.67
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20205.chaJun 2;2.05749222.67

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. aru2 · 100.0%