PHPCLANCHILDES with regular expressions

Regular expression

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More conditions (like a second grep)

The utterance must also match

…and must not match

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Speakers

Context

Ignore case Whole words

Scope One transcript: french/lyon_nat12b.cha change

Searching only french/lyon_nat12b.cha. Search all transcripts instead

4 matches in 4 utterances

190.48 per 1,000 words of the child (CHI), in 1 of 1 transcripts (130 utterances, 21 words searched).

Concordance Utterances Distribution Matched forms

yyy ‹veux [?]› yyy . 273792_275482 CHI · french/lyon_nat12b.cha, line 215 · Nathan 1;06
<yyy veux yyy yyy> [= ! pleure] . 410543_436943 CHI · french/lyon_nat12b.cha, line 349 · Nathan 1;06
<yyy veux> [/] ‹www [= ! pleure]› . CHI · french/lyon_nat12b.cha, line 353 · Nathan 1;06
<yyy veux tétine> [= ! pleure] . 890153_894658 CHI · french/lyon_nat12b.cha, line 730 · Nathan 1;06

One dot per transcript: matches per 1,000 words of the child (CHI). Dots of the same child are joined.

per 1,000 words

050100150200

1;051;061;071;08

Age of the child (years;months)

Matches per 1,000 words, all transcripts of each child together, highest first.

All transcripts as a table

Transcript	Child	Age	Words	Utterances matched	Matches	Per 1,000 words
french/lyon_nat12b.cha	Nathan	1;6.5	21	4	4	190.48

1 different forms (lowercased). Useful to see what a pattern really catches: unexpected forms here usually mean the pattern is too broad.