PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

1.37 per 1,000 words of the child (CHI), in 1 of 1 transcripts (659 utterances, 1,464 words searched).

  1. anonaa +... %mov:"30001"_329489_330902 CHI · japanese_ishii/30001.cha, line 190 · Jun 3;00
  2. anonaa +... %mov:"30001"_1218838_1220939 CHI · japanese_ishii/30001.cha, line 674 · Jun 3;00
  1. japanese_ishii/30001.cha, line 190 · Jun, 3;0.01
    CHIasshi [?] +... %mov:"30001"_323725_327848
    FATnande tabako suutara akan no ? %mov:"30001"_327848_329489
    CHI*CHI: anonaa +... %mov:"30001"_329489_330902
    FATun . %mov:"30001"_330902_331425
    CHIatchi motte naa +... %mov:"30001"_331425_333559
  2. japanese_ishii/30001.cha, line 674 · Jun, 3;0.01
    CHIannan [: annano] ga aru kara . %mov:"30001"_1215948_1218248
    FATsoo ka . %mov:"30001"_1218248_1218838
    CHI*CHI: anonaa +... %mov:"30001"_1218838_1220939
    FATun . %mov:"30001"_1220939_1221644
    CHIkore ofuro akan no . %mov:"30001"_1221644_1224518

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_ishii1.37
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/30001.chaJun 3;0.011,464221.37

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. anonaa2 · 100.0%