PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

5.10 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (428 utterances, 981 words searched).

  1. batan@o suru na,, kotchi wa . %mov:"20225"_955032_956493 FAT · japanese_ishii/20225.cha, line 436 · Jun 2;02
  2. na ? %mov:"20225"_1367428_1369613 FAT · japanese_ishii/20225.cha, line 609 · Jun 2;02
  3. a, honto ya na . %mov:"20225"_1544063_1545012 FAT · japanese_ishii/20225.cha, line 712 · Jun 2;02
  4. un, poo@o na [<] ? %mov:"20225"_1570713_1573899 FAT · japanese_ishii/20225.cha, line 735 · Jun 2;02
  5. un, asobo ya na,, sore . %mov:"20225"_1580584_1582138 FAT · japanese_ishii/20225.cha, line 741 · Jun 2;02
  1. FATn ? %mov:"20225"_951867_952591
    CHIbatan ! %mov:"20225"_952591_955032
    FAT*FAT: batan@o suru na,, kotchi wa . %mov:"20225"_955032_956493
    FATkotchi dame ya nee ? %mov:"20225"_956493_958943
    CHIkoko naa +... %mov:"20225"_958943_960198
  2. FATtaiya dame ya,, kore . %mov:"20225"_1361478_1364996
    FATtaiya kowareten ne . %mov:"20225"_1364996_1367428
    FAT*FAT: na ? %mov:"20225"_1367428_1369613
    FATsore wa ? %mov:"20225"_1369613_1372170
    FATtaiya daijoobudesu ka ? %mov:"20225"_1372170_1373335
  3. CHIpoposhushu . %mov:"20225"_1542004_1543212
    FATpoposhushu@o ka ? %mov:"20225"_1543212_1544063
    FAT*FAT: a, honto ya na . %mov:"20225"_1544063_1545012
    CHIxxx . %mov:"20225"_1545012_1545012
    FATe ? %mov:"20225"_1547026_1547749
  4. FATpoo@o . %mov:"20225"_1569774_1570713
    CHIpoi na,, koe [>] . %mov:"20225"_1570713_1573899
    FAT*FAT: un, poo@o na [<] ? %mov:"20225"_1570713_1573899
    CHIpo xxx . %mov:"20225"_1573899_1573899
    FATun . %mov:"20225"_1575662_1576044
  5. FAThai, ashobo [: asobo] . %mov:"20225"_1577289_1578028
    CHIxxx ashobo . %mov:"20225"_1578028_1580584
    FAT*FAT: un, asobo ya na,, sore . %mov:"20225"_1580584_1582138
    FATtsumiki ya ne ? %mov:"20225"_1582138_1583124
    CHIashobu ka. %mov:"20225"_1583124_1585178

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_ishii5.10
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20225.chaJun 2;2.25981555.10

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. na5 · 100.0%