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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Context

Ignore case Whole words

Scope One transcript: french/york_mona011.cha change

Searching only french/york_mona011.cha. Search all transcripts instead

4 matches in 4 utterances

7.98 per 1,000 words of the child (CHI), in 1 of 1 transcripts (230 utterances, 501 words searched).

Concordance Utterances Distribution Matched forms

&hu c(e) est (.) ton [?] tou(r) à moi (.) 0de ti(r)er la queue . 241436_249053 CHI · french/york_mona011.cha, line 299 · Max 2;02
ti(r)é la queue . 491717_493233 CHI · french/york_mona011.cha, line 639 · Max 2;02
non „ toi (.) tiré la queue (.) pi [: puis] moi (.) mettre ma main (de)dans . [+ G] 495573_49772… CHI · french/york_mona011.cha, line 646 · Max 2;02
ti(r)er la queue . 884813_887424 CHI · french/york_mona011.cha, line 1093 · Max 2;02

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

per 1,000 words

0246810

2;012;022;032;04

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/york_mona011.cha	Max	2;2.09	501	4	4	7.98

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