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/lyon_mas18a.cha change

Searching only french/lyon_mas18a.cha. Search all transcripts instead

5 matches in 5 utterances

17.36 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (450 utterances, 288 words searched).

Concordance Utterances Distribution Matched forms

merci . 866967_873105 MOT · french/lyon_mas18a.cha, line 564 · Marilyn 1;09
merci Marie . 1237893_1241647 VAL · french/lyon_mas18a.cha, line 843 · Marilyn 1;09
merci . 1243667_1244888 VAL · french/lyon_mas18a.cha, line 846 · Marilyn 1;09
merci madame . 1676672_1678953 MOT · french/lyon_mas18a.cha, line 1191 · Marilyn 1;09
non on dit merci . 1695713_1701920 MOT · french/lyon_mas18a.cha, line 1203 · Marilyn 1;09

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

per 1,000 words

05101520

1;081;091;101;11

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_mas18a.cha	Marilyn	1;9.12	288	5	5	17.36

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