PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

5.36 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (162 utterances, 373 words searched).

  1. basu ya ne . %mov:"11107"_24952_25637 FAT · japanese_ishii/11107.cha, line 35 · Jun 1;11
  2. soo ya ne . %mov:"11107"_322224_323003 FAT · japanese_ishii/11107.cha, line 269 · Jun 1;11
  1. japanese_ishii/11107.cha, line 35 · Jun, 1;11.07
    CHIbasu . %mov:"11107"_22848_23379
    CHIhoa, bashu . %mov:"11107"_23379_24952
    FAT*FAT: basu ya ne . %mov:"11107"_24952_25637
    CHIhoa # koe . %mov:"11107"_25637_26781
    CHIxxx nee xxx . %mov:"11107"_26781_28492
  2. japanese_ishii/11107.cha, line 269 · Jun, 1;11.07
    CHIhora . %mov:"11107"_320497_321532
    FATkurukuru@o ka . %mov:"11107"_321532_322224
    FAT*FAT: soo ya ne . %mov:"11107"_322224_323003
    CHIkuukuukuu [>] . %mov:"11107"_323003_324427
    FAT<kurukuru@o> [<] un . %mov:"11107"_323003_324427

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_ishii5.36
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/11107.chaJun 1;11.07373225.36

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. ne2 · 100.0%