PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

3.31 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (641 utterances, 1,510 words searched).

  1. aisukuriimu ? %mov:"20220"_1758501_1759908 FAT · japanese_ishii/20220.cha, line 1172 · Jun 2;02
  2. dore <aisukuriimu> [>] ? %mov:"20220"_1759908_1761823 FAT · japanese_ishii/20220.cha, line 1173 · Jun 2;02
  3. aisukuriimu wa dore ? %mov:"20220"_1774075_1775344 FAT · japanese_ishii/20220.cha, line 1185 · Jun 2;02
  4. dore aisukuriimu . %mov:"20220"_1782601_1782601 FAT · japanese_ishii/20220.cha, line 1192 · Jun 2;02
  5. aisukuriimu nai naa . %mov:"20220"_1792128_1793470 FAT · japanese_ishii/20220.cha, line 1198 · Jun 2;02
  1. FATnan desu ka,, sore wa ? %mov:"20220"_1755907_1757040
    CHIashibubu . %mov:"20220"_1757040_1758501
    FAT*FAT: aisukuriimu ? %mov:"20220"_1758501_1759908
    FATdore <aisukuriimu> [>] ? %mov:"20220"_1759908_1761823
    CHIashimu [<] . %mov:"20220"_1759908_1761823
  2. CHIashibubu . %mov:"20220"_1757040_1758501
    FATaisukuriimu ? %mov:"20220"_1758501_1759908
    FAT*FAT: dore <aisukuriimu> [>] ? %mov:"20220"_1759908_1761823
    CHIashimu [<] . %mov:"20220"_1759908_1761823
    FATkore nani ? %mov:"20220"_1761823_1763479
  3. CHIkoe a keeki . %mov:"20220"_1771888_1773537
    FATkeeki . %mov:"20220"_1773537_1774075
    FAT*FAT: aisukuriimu wa dore ? %mov:"20220"_1774075_1775344
    CHIare ? %mov:"20220"_1775344_1775344
    CHIkoe # koe no . %mov:"20220"_1777781_1780009
  4. CHIkoe noo . %mov:"20220"_1780461_1781409
    CHIna ? %mov:"20220"_1781409_1782601
    FAT*FAT: dore aisukuriimu . %mov:"20220"_1782601_1782601
    CHIn ? %mov:"20220"_1784031_1786004
    CHIare ? %mov:"20220"_1786004_1786630
  5. FATnai ka ? %mov:"20220"_1789650_1790965
    CHIbai naa . %mov:"20220"_1790965_1792128
    FAT*FAT: aisukuriimu nai naa . %mov:"20220"_1792128_1793470
    CHIoshi [: okashii] naa . %mov:"20220"_1793470_1795278
    CHIooshoomen naa ? %mov:"20220"_1795278_1797415

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_ishii3.31
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20220.chaJun 2;2.201,510553.31

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. aisukuriimu5 · 100.0%