PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

1.82 per 1,000 words of the child (CHI), in 1 of 1 transcripts (629 utterances, 1,099 words searched).

  1. basu wa kore na ? %mov:"20220"_1394982_1394982 CHI · japanese_ishii/20220.cha, line 956 · Jun 2;02
  2. basu koe na ? %mov:"20220"_1398917_1400305 CHI · japanese_ishii/20220.cha, line 958 · Jun 2;02
  1. japanese_ishii/20220.cha, line 956 · Jun, 2;2.20
    CHIhoe kyaa attaa ! %mov:"20220"_1391262_1394132
    FATnan da,, sore wa . %mov:"20220"_1394132_1394982
    CHI*CHI: basu wa kore na ? %mov:"20220"_1394982_1394982
    FATun . %mov:"20220"_1398454_1398917
    CHIbasu koe na ? %mov:"20220"_1398917_1400305
  2. japanese_ishii/20220.cha, line 958 · Jun, 2;2.20
    CHIbasu wa kore na ? %mov:"20220"_1394982_1394982
    FATun . %mov:"20220"_1398454_1398917
    CHI*CHI: basu koe na ? %mov:"20220"_1398917_1400305
    FATsoo ya . %mov:"20220"_1400305_1400721
    FATbasu kore ya nee ? %mov:"20220"_1400721_1401601

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/20220.chaJun 2;2.201,099221.82

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. basu2 · 100.0%