PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

1.82 per 1,000 words of the child (CHI), in 1 of 1 transcripts (435 utterances, 1,097 words searched).

  1. a, xxx atta, hore . %mov:"30203"_1246470_1247628 CHI · japanese_ishii/30203.cha, line 444 · Jun 3;02
  2. chissai taiya atta, hore . %mov:"30203"_1861707_1866616 CHI · japanese_ishii/30203.cha, line 648 · Jun 3;02
  1. CHInani tsukuro . %mov:"30203"_1238403_1244840
    FATnani tsukuru ? %mov:"30203"_1244840_1246470
    CHI*CHI: a, xxx atta, hore . %mov:"30203"_1246470_1247628
    CHInani shoo ka na ? %mov:"30203"_1247628_1253651
    MAAnani shoo ka na ? %mov:"30203"_1253651_1255327
  2. CHIattaa ! %mov:"30203"_1846615_1856152
    MAAatta . %mov:"30203"_1856152_1861707
    CHI*CHI: chissai taiya atta, hore . %mov:"30203"_1861707_1866616
    CHIan na +... %mov:"30203"_1866616_1873075
    CHIurusai yan kaa,, kottara [: koo shitara] . %mov:"30203"_1873075_1880433

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_ishii1.82
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/30203.chaJun 3;2.031,097221.82

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. hore2 · 100.0%