<?xml version="1.0" encoding="UTF-8"?>
<quiz>


<!-- question: 0  -->
  <question type="category">
    <category>
        <text>$course$/HumBox/Understanding Language/Syntax and Morphology 8</text>

    </category>
  </question>



<!-- question: 127  -->
  <question type="truefalse">
    <name><text><![CDATA[Q3 T/F Morph tree "decompartmentalisation"]]></text>
</name>
    <questiontext format="moodle_auto_format">
<text><![CDATA[<div style="text-align: justify;">Look at the tree below and decide whether it is the best representation of the word's morphological structure and whether everything is labeled correctly.<br /><br /> </div>]]></text>
    </questiontext>
    <image>Trees_for_quizzes/decompartmentalisation_1.JPG</image>
    <image_base64>
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

    </image_base64>
    <generalfeedback>
<text></text>
    </generalfeedback>
    <defaultgrade>1</defaultgrade>
    <penalty>1</penalty>
    <hidden>0</hidden>
    <shuffleanswers>0</shuffleanswers>
    <answer fraction="0">
      <text>true</text>

      <feedback>
        <text>
Did you really look at all the constituent parts in detail?
        </text>
      </feedback>
    </answer>
    <answer fraction="100">
      <text>false</text>

      <feedback>
        <text>
Yes, there is obviously a mistake in the tree (or rather two). Did you spot both?
        </text>
      </feedback>
    </answer>
</question>



<!-- question: 128  -->
  <question type="truefalse">
    <name><text>Q4 - T/F Aux and Adv = functional categories</text>
</name>
    <questiontext format="moodle_auto_format">
<text><![CDATA[Is the following statement true or false?<br /><br /><span style="font-weight: bold;">Auxiliaries and adverbs are both functional categories.</span><br />
 <div style="text-align: justify;"> </div>]]></text>
    </questiontext>
    <image></image>
    <generalfeedback>
<text></text>
    </generalfeedback>
    <defaultgrade>1</defaultgrade>
    <penalty>1</penalty>
    <hidden>0</hidden>
    <shuffleanswers>0</shuffleanswers>
    <answer fraction="0">
      <text>true</text>

      <feedback>
        <text>
<![CDATA[<div style="text-align: justify;">I'm afraid, you're wrong here. Remember the difference between content/lexical and function words? This distinction has a bearing on what words can do in a sentence. Auxiliaries are functional but adverbs are lexical.<br /></div>
 <div style="text-align: justify;"> </div>]]>
        </text>
      </feedback>
    </answer>
    <answer fraction="100">
      <text>false</text>

      <feedback>
        <text>
<![CDATA[Well done! Have you worked out why the statement is wrong?<br />
 <div style="text-align: justify;"> </div>]]>
        </text>
      </feedback>
    </answer>
</question>



<!-- question: 129  -->
  <question type="truefalse">
    <name><text>Q4 - T/F Clauses must contain an aux.</text>
</name>
    <questiontext format="moodle_auto_format">
<text><![CDATA[<div style="text-align: justify;">Is the following statement true or false?<br /><br /><span style="font-weight: bold;">All clauses must contain an auxiliary.</span><br /> </div>]]></text>
    </questiontext>
    <image></image>
    <generalfeedback>
<text></text>
    </generalfeedback>
    <defaultgrade>1</defaultgrade>
    <penalty>1</penalty>
    <hidden>0</hidden>
    <shuffleanswers>0</shuffleanswers>
    <answer fraction="0">
      <text>true</text>

      <feedback>
        <text>
<![CDATA[<div style="text-align: justify;">While an auxiliary is a type of verb, it is not a main verb. What a clause must contain is a verb and as an auxiliary cannot appear on its own, the statement is wrong. </div>]]>
        </text>
      </feedback>
    </answer>
    <answer fraction="100">
      <text>false</text>

      <feedback>
        <text>
<![CDATA[<div style="text-align: justify;">Good! As you are aware an auxiliary is always in need of a main verb, so a clause will need a main verb in the first case. It can, of course, have an auxiliary in addition.<br /></div>
 <div style="text-align: justify;"> </div>]]>
        </text>
      </feedback>
    </answer>
</question>



<!-- question: 130  -->
  <question type="truefalse">
    <name><text><![CDATA[Q4 - T/F Tree "The dog and the cat share the same owner" - correct labels?]]></text>
</name>
    <questiontext format="moodle_auto_format">
<text><![CDATA[Look at the tree below and decide whether its constituent parts have been labelled correctly.<br />
 <div style="text-align: justify;"> </div>]]></text>
    </questiontext>
    <image>Trees_for_quizzes/The_dog_and_the_cat_share_the_same_owner_-_false_labels.JPG</image>
    <image_base64>
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

    </image_base64>
    <generalfeedback>
<text></text>
    </generalfeedback>
    <defaultgrade>1</defaultgrade>
    <penalty>1</penalty>
    <hidden>0</hidden>
    <shuffleanswers>0</shuffleanswers>
    <answer fraction="0">
      <text>true</text>

      <feedback>
        <text>
<![CDATA[Did you look closely? Have all the phrases and the lexical categories the correct label?<br />
 <div style="text-align: justify;"> </div>]]>
        </text>
      </feedback>
    </answer>
    <answer fraction="100">
      <text>false</text>

      <feedback>
        <text>
<![CDATA[Well-spotted? Or did you just guess? <img title="wink" alt="wink" src="http://learn.winchester.ac.uk/theme/winchester/pix/s/wink.gif" /><br />
 <div style="text-align: justify;"> </div>]]>
        </text>
      </feedback>
    </answer>
</question>



<!-- question: 131  -->
  <question type="truefalse">
    <name><text>Q5 - T/F - The man we saw yesterday was...guard.  guard = direct object</text>
</name>
    <questiontext format="moodle_auto_format">
<text><![CDATA[<div style="text-align: justify;">Is the following statement true or false?<br /></div><br />
 <div style="text-align: justify;">In the sentence<span style="font-weight: bold; font-style: italic;"> The man we saw yesterday is a Grenadier guard</span><span style="font-weight: bold;"></span>, <span style="font-weight: bold; font-style: italic;">a Grenadier guard</span> is the direct object.<br /></div>]]></text>
    </questiontext>
    <image></image>
    <generalfeedback>
<text></text>
    </generalfeedback>
    <defaultgrade>1</defaultgrade>
    <penalty>1</penalty>
    <hidden>0</hidden>
    <shuffleanswers>0</shuffleanswers>
    <answer fraction="0">
      <text>true</text>

      <feedback>
        <text>
<![CDATA[<div style="text-align: justify;">I'm afraid not. Have a look at all the syntactic functions and see if you can spot the right one!<br /></div>
 <div style="text-align: justify;"> </div>]]>
        </text>
      </feedback>
    </answer>
    <answer fraction="100">
      <text>false</text>

      <feedback>
        <text>
<![CDATA[<div style="text-align: justify;">You are right that it's not the direct object but can you name the syntactic function?<br /></div>
 <div style="text-align: justify;"> </div>]]>
        </text>
      </feedback>
    </answer>
</question>



<!-- question: 132  -->
  <question type="truefalse">
    <name><text>Q5 - T/F He gave me a book - me = dO</text>
</name>
    <questiontext format="moodle_auto_format">
<text><![CDATA[Is the following statement true or false?<br /><br /><br />In the sentence <span style="font-style: italic; font-weight: bold;">He gave me a book</span>, <span style="font-weight: bold; font-style: italic;">me</span> is the direct object. <br />]]></text>
    </questiontext>
    <image></image>
    <generalfeedback>
<text></text>
    </generalfeedback>
    <defaultgrade>1</defaultgrade>
    <penalty>1</penalty>
    <hidden>0</hidden>
    <shuffleanswers>0</shuffleanswers>
    <answer fraction="0">
      <text>true</text>

      <feedback>
        <text>
<![CDATA[Remember what we said about direct objects? It is the &quot;receiver&quot; of the <span style="font-weight: bold;">action</span> or the &quot;victim&quot; - who is experiencing the action? The &quot;receiver&quot; can be an inanimate object!]]>
        </text>
      </feedback>
    </answer>
    <answer fraction="100">
      <text>false</text>

      <feedback>
        <text>
<![CDATA[Good! While the book is an inanimate object, it can, nonetheless, &quot;receive&quot; the action and therefore be the direct object.]]>
        </text>
      </feedback>
    </answer>
</question>



<!-- question: 133  -->
  <question type="truefalse">
    <name><text>Q6 T/F He gave me a book - me = iO</text>
</name>
    <questiontext format="moodle_auto_format">
<text><![CDATA[Is the following statement true or false?<br /><br /><br />In the sentence <span style="font-style: italic; font-weight: bold;">He gave me a book</span>, <span style="font-weight: bold; font-style: italic;">me</span> is the indirect object. <br />]]></text>
    </questiontext>
    <image></image>
    <generalfeedback>
<text></text>
    </generalfeedback>
    <defaultgrade>1</defaultgrade>
    <penalty>1</penalty>
    <hidden>0</hidden>
    <shuffleanswers>0</shuffleanswers>
    <answer fraction="100">
      <text>true</text>

      <feedback>
        <text>
<![CDATA[Well done! <br /><span style="font-weight: bold; font-style: italic;">Me</span> is the indirect object as it is the recipient of what is denoted by the direct object.<br />]]>
        </text>
      </feedback>
    </answer>
    <answer fraction="0">
      <text>false</text>

      <feedback>
        <text>

        </text>
      </feedback>
    </answer>
</question>



<!-- question: 134  -->
  <question type="truefalse">
    <name><text>Q6 T/F independent verbs in questions (Does he eat raisins?)</text>
</name>
    <questiontext format="moodle_auto_format">
<text><![CDATA[Look at the statement below and decide whether it is true or false.<br /><br /><span style="font-weight: bold;">In </span><span style="font-style: italic; font-weight: bold;">Does he eat raisins?</span><span style="font-weight: bold;">, </span><span style="font-style: italic; font-weight: bold;">does</span><span style="font-weight: bold;"> and </span><span style="font-style: italic; font-weight: bold;">eat</span><span style="font-weight: bold;"> are entirely separate verbs.</span><br />
 <div style="text-align: justify;"> </div>]]></text>
    </questiontext>
    <image></image>
    <generalfeedback>
<text></text>
    </generalfeedback>
    <defaultgrade>1</defaultgrade>
    <penalty>1</penalty>
    <hidden>0</hidden>
    <shuffleanswers>0</shuffleanswers>
    <answer fraction="0">
      <text>true</text>

      <feedback>
        <text>
<![CDATA[Well, they might not be written together but does the <span style="font-style: italic; font-weight: bold;">does</span> really give any information beyond making the yes/no question possible? Can you remember what this kind of <span style="font-weight: bold; font-style: italic;">do</span> is called?<br />
 <div style="text-align: justify;"> </div>]]>
        </text>
      </feedback>
    </answer>
    <answer fraction="100">
      <text>false</text>

      <feedback>
        <text>
<![CDATA[Excellent! Yes, the <span style="font-weight: bold; font-style: italic;">periphrastic do</span> simply enables us to ask the yes/no question.<br />
 <div style="text-align: justify;"> </div>]]>
        </text>
      </feedback>
    </answer>
</question>



<!-- question: 135  -->
  <question type="truefalse">
    <name><text>Q6 T/F Only one adverbial in any clause possible</text>
</name>
    <questiontext format="moodle_auto_format">
<text><![CDATA[<div style="text-align: justify;">Look at the statement below and decide whether it is true or false.<br /></div><br />
 <div style="text-align: justify;"><span style="font-weight: bold;">There must be only one adverbial in any clause.</span><br /></div>
 <div style="text-align: justify;"> </div>]]></text>
    </questiontext>
    <image></image>
    <generalfeedback>
<text></text>
    </generalfeedback>
    <defaultgrade>1</defaultgrade>
    <penalty>1</penalty>
    <hidden>0</hidden>
    <shuffleanswers>0</shuffleanswers>
    <answer fraction="0">
      <text>true</text>

      <feedback>
        <text>
<![CDATA[<div style="text-align: justify;">Sorry! As one of the sentences from your last quiz illustrates, you can have several adverbials in a clause.<br /> <br /> For example &quot;I arrived <span style="font-weight: bold; font-style: italic;">by train on Thursday in the rain</span>.&quot; contains three adverbials. </div>]]>
        </text>
      </feedback>
    </answer>
    <answer fraction="100">
      <text>false</text>

      <feedback>
        <text>
<![CDATA[<div style="text-align: justify;">Well done! As one of the sentences from your last quiz illustrates, you can have several adverbials in a clause.<br /><br />For example &quot;I arrived <span style="font-weight: bold; font-style: italic;">by train on Thursday in the rain</span>.&quot; contains three adverbials. </div>]]>
        </text>
      </feedback>
    </answer>
</question>



<!-- question: 136  -->
  <question type="truefalse">
    <name><text>Test T/F - articles are determiners</text>
</name>
    <questiontext format="moodle_auto_format">
<text><![CDATA[Is the following statement true or false?<br /><br /><br />In English, all articles are determiners.<br />]]></text>
    </questiontext>
    <image></image>
    <generalfeedback>
<text></text>
    </generalfeedback>
    <defaultgrade>1</defaultgrade>
    <penalty>1</penalty>
    <hidden>0</hidden>
    <shuffleanswers>0</shuffleanswers>
    <answer fraction="100">
      <text>true</text>

      <feedback>
        <text>
Yes, both definite and indefinite article in English are part of the determiner category.
        </text>
      </feedback>
    </answer>
    <answer fraction="0">
      <text>false</text>

      <feedback>
        <text>
Sorry, you're wrong!
        </text>
      </feedback>
    </answer>
</question>



<!-- question: 137  -->
  <question type="truefalse">
    <name><text>Test T/F - pronoun = of</text>
</name>
    <questiontext format="moodle_auto_format">
<text><![CDATA[Is the following statement true or false?<br /><br /><br />&quot;of&quot; is a pronoun.<br />]]></text>
    </questiontext>
    <image></image>
    <generalfeedback>
<text></text>
    </generalfeedback>
    <defaultgrade>1</defaultgrade>
    <penalty>1</penalty>
    <hidden>0</hidden>
    <shuffleanswers>0</shuffleanswers>
    <answer fraction="0">
      <text>true</text>

      <feedback>
        <text>
<![CDATA[Maybe you mixed up the idea of &quot;in front of a noun&quot; and &quot;instead of a noun&quot;?]]>
        </text>
      </feedback>
    </answer>
    <answer fraction="100">
      <text>false</text>

      <feedback>
        <text>
Yes, it can stand in front of a noun but it is not a pronoun!
        </text>
      </feedback>
    </answer>
</question>



<!-- question: 138  -->
  <question type="truefalse">
    <name><text>Test T/F all nouns = countable</text>
</name>
    <questiontext format="moodle_auto_format">
<text>In English, all nouns are countable.</text>
    </questiontext>
    <image></image>
    <generalfeedback>
<text></text>
    </generalfeedback>
    <defaultgrade>1</defaultgrade>
    <penalty>1</penalty>
    <hidden>0</hidden>
    <shuffleanswers>0</shuffleanswers>
    <answer fraction="0">
      <text>true</text>

      <feedback>
        <text>
<![CDATA[Well, what about words like <span style="font-style: italic;">milk</span>, or <span style="font-style: italic;">love</span>? Can you count them in the form you have here?]]>
        </text>
      </feedback>
    </answer>
    <answer fraction="100">
      <text>false</text>

      <feedback>
        <text>
<![CDATA[Good! <img title="big grin" alt="big grin" src="../theme/winchester/pix/s/biggrin.gif" /><br />Certain nouns are uncountable - can you remember a few of them?]]>
        </text>
      </feedback>
    </answer>
</question>


</quiz>