PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

1.74 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (482 utterances, 1,150 words searched).

  1. attaa . %mov:"30203"_1483433_1484729 MAA · japanese_ishii/30203.cha, line 532 · Jun 3;02
  2. attaa ! %mov:"30203"_1890859_1892567 MAA · japanese_ishii/30203.cha, line 653 · Jun 3;02
  1. japanese_ishii/30203.cha, line 532 · Jun, 3;2.03
    CHIhikooki de tsuken nya . %mov:"30203"_1475454_1477301
    CHIxxx . %mov:"30203"_1477301_1483433
    MAA*MAA: attaa . %mov:"30203"_1483433_1484729
    CHIkashite . %mov:"30203"_1484729_1486424
    CHIaa . %mov:"30203"_1486424_1498347
  2. japanese_ishii/30203.cha, line 653 · Jun, 3;2.03
    CHIhikooki # koo shite suru yaroo . %mov:"30203"_1880433_1887516
    MAAxxx . %mov:"30203"_1887516_1890859
    MAA*MAA: attaa ! %mov:"30203"_1890859_1892567
    CHImohitotsu kore nai ? %mov:"30203"_1892567_1894139
    FATnai nee,, mohitotsu . %mov:"30203"_1894139_1896427

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_ishii1.74
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/30203.chaJun 3;2.031,150221.74

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. attaa2 · 100.0%