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Selected Papers from the Fourteenth International ... - STIBA Malang

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64 Kristin Bech<br />

that Arthur deviates <strong>from</strong> <strong>the</strong> o<strong>the</strong>r texts in having twice as many copular coordinate<br />

clauses as non-coordinate clauses (21 out of 33 SVX copular clauses in Arthur are<br />

coordinate clauses). Or, to put it ano<strong>the</strong>r way, in Arthur, <strong>the</strong> SVX non-coordinate<br />

clause category contains a lower proportion of copulas than <strong>the</strong> SVX coordinate<br />

clause category does, and in this it differs <strong>from</strong> <strong>the</strong> o<strong>the</strong>r texts <strong>from</strong> that period.<br />

If we disregard <strong>the</strong> Arthur data, <strong>the</strong> difference between coordinate and noncoordinate<br />

clauses does not become statistically significant, but <strong>the</strong> tendency<br />

becomes approximately <strong>the</strong> same as in early OE (p ≈ 0.14). The reason for <strong>the</strong><br />

distribution in Arthur probably has to do with style. In addition to several instances<br />

of <strong>the</strong> kind of repetitive sequence exemplified in (13), Arthur also uses<br />

coordination when it is not strictly speaking necessary. In (14), for example, <strong>the</strong><br />

coordinating conjunction in and his name is sir Ector seems superfluous; <strong>the</strong><br />

sentence could just as well have read His name is sir Ector without any loss of<br />

meaning. Likewise, in (15), <strong>the</strong> second clause could have started with Syr Kay<br />

was made … instead of with <strong>the</strong> coordinating conjunction.<br />

(14) ‘Wel’, said Merlyn, ‘I knowe a lord of yours in this land that is a passyng true man<br />

and a feithful, and he shal have <strong>the</strong> nourysshyng of your child; and his name is<br />

sir Ector, and he is a lord of fair lyvelode in many partyes in Englond and Walys.’<br />

(Arthur 10: 36)<br />

(15) … and with hym rode syr Kaynus, his sone, and yong Arthur that was hys nourisshed<br />

broder; and syr Kay was made knyght at Alhalowmas afore (Arthur 13: 21)<br />

Again, what we see here is how <strong>the</strong> characteristics of individual texts also play<br />

a role with regard to distributional features. 14 In a relatively detailed classification<br />

of <strong>the</strong> data, as in Tables 2–5, <strong>the</strong> number of occurrences becomes quite small for<br />

each category, even though <strong>the</strong> corpus as a whole is quite large. Consequently, it<br />

becomes important to keep an eye on <strong>the</strong> particular features of <strong>the</strong> individual texts,<br />

as <strong>the</strong>se might have a bearing on <strong>the</strong> statistics. In <strong>the</strong> case of <strong>the</strong> late ME distribution<br />

of copulas in non-coordinate vs. coordinate clauses, more data are needed<br />

in order to be able to draw conclusions. For <strong>the</strong> o<strong>the</strong>r periods it seems that <strong>the</strong>re<br />

is a clear difference between non-coordinate and coordinate clauses with respect<br />

to copulas, and that this can be seen in light of <strong>the</strong> functional characteristics of<br />

14. Since <strong>the</strong> number of clauses collected <strong>from</strong> each text varies (cf. References), and this may<br />

affect <strong>the</strong> statistics if <strong>the</strong> features of individual texts play a role, I also did an experiment where I<br />

‘normalized’ <strong>the</strong> data, in <strong>the</strong> sense that I analyzed an equal number of clauses <strong>from</strong> each text, for<br />

all <strong>the</strong> features discussed in this paper. For <strong>the</strong> late OE, early ME and late ME periods I analyzed<br />

150 clauses <strong>from</strong> each text, and for <strong>the</strong> early OE period 187/188 clauses <strong>from</strong> each text, since <strong>the</strong><br />

corpus only contains four texts <strong>from</strong> that period, and I needed an equal number of clauses <strong>from</strong><br />

each period. The corpus thus consisted of 3,000 clauses, 750 <strong>from</strong> each period. The results were<br />

interesting and reassuring, since <strong>the</strong> distribution of verb types was very similar to <strong>the</strong> data in

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