PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

2.40 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (340 utterances, 832 words searched).

  1. koketa . %mov:"20327"_1045529_1045529 FAT · japanese_ishii/20327.cha, line 518 · Jun 2;03
  2. koketa . %mov:"20327"_1049277_1049733 FAT · japanese_ishii/20327.cha, line 521 · Jun 2;03
  1. japanese_ishii/20327.cha, line 518 · Jun, 2;3.27
    CHIbachaan ta . %mov:"20327"_1041271_1043172
    CHIkoketa densha . %mov:"20327"_1043172_1045529
    FAT*FAT: koketa . %mov:"20327"_1045529_1045529
    CHIbachaan ! %mov:"20327"_1046305_1048801
    FATa, honto . %mov:"20327"_1048801_1049277
  2. japanese_ishii/20327.cha, line 521 · Jun, 2;3.27
    CHIbachaan ! %mov:"20327"_1046305_1048801
    FATa, honto . %mov:"20327"_1048801_1049277
    FAT*FAT: koketa . %mov:"20327"_1049277_1049733
    CHItoakku ue . %mov:"20327"_1049733_1054920
    CHItoakku ue ni notta hoe . %mov:"20327"_1054920_1058124

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_ishii2.40
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20327.chaJun 2;3.27832222.40

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. koketa2 · 100.0%