CCGWeb - They were talking about you.

They

were

(S[dcl]\NP)/(S[ng]\NP)

talking

(S[ng]\NP)/PP

about

PP/NP

you

> ⁰

S[ng]\NP

> ⁰

S[dcl]\NP

> ⁰

S[dcl]

< ⁰

 <div class="der">
<table class="constituent binaryrule" data-cat="S[dcl]">
<tr class="daughters">
<td class="daughter daughter-left"><table class="constituent lex" data-token="They" data-from="0" data-to="4" data-cat="NP">
<tr><td class="token">They</td></tr>
<tr><td class="cat" tabindex="0">NP</td></tr>
<tr><td class="span-swiper"> </td></tr>
</table></td>
<td class="daughter daughter-right"><table class="constituent binaryrule" data-cat="S[dcl]\NP">
<tr class="daughters">
<td class="daughter daughter-left"><table class="constituent lex" data-token="were" data-from="5" data-to="9" data-cat="(S[dcl]\NP)/(S[ng]\NP)">
<tr><td class="token">were</td></tr>
<tr><td class="cat" tabindex="0">(S[dcl]\NP)/(S[ng]\NP)</td></tr>
<tr><td class="span-swiper"> </td></tr>
</table></td>
<td class="daughter daughter-right"><table class="constituent binaryrule" data-cat="S[ng]\NP">
<tr class="daughters">
<td class="daughter daughter-left"><table class="constituent lex" data-token="talking" data-from="10" data-to="17" data-cat="(S[ng]\NP)/PP">
<tr><td class="token">talking</td></tr>
<tr><td class="cat" tabindex="0">(S[ng]\NP)/PP</td></tr>
<tr><td class="span-swiper"> </td></tr>
</table></td>
<td class="daughter daughter-right"><table class="constituent binaryrule" data-cat="PP">
<tr class="daughters">
<td class="daughter daughter-left"><table class="constituent lex" data-token="about" data-from="18" data-to="23" data-cat="PP/NP">
<tr><td class="token">about</td></tr>
<tr><td class="cat" tabindex="0">PP/NP</td></tr>
<tr><td class="span-swiper"> </td></tr>
</table></td>
<td class="daughter daughter-right"><table class="constituent binaryrule" data-cat="NP">
<tr class="daughters">
<td class="daughter daughter-left"><table class="constituent lex" data-token="you" data-from="24" data-to="27" data-cat="NP">
<tr><td class="token">you</td></tr>
<tr><td class="cat" tabindex="0">NP</td></tr>
<tr><td class="span-swiper"> </td></tr>
</table></td>
<td class="daughter daughter-right"><table class="constituent lex" data-token="." data-from="27" data-to="28" data-cat=".">
<tr><td class="token">.</td></tr>
<tr><td class="cat" tabindex="0">.</td></tr>
<tr><td class="span-swiper"> </td></tr>
</table></td>
</tr>
<tr><td colspan="2" class="rulecat"><div class="rulecat">
<div class="cat">NP</div>
<div class="rule" title="Remove Punctuation">.</div>
</div></td></tr>
</table></td>
</tr>
<tr><td colspan="2" class="rulecat"><div class="rulecat">
<div class="cat">PP</div>
<div class="rule" title="Forward Application">&gt; <sup>0</sup>
</div>
</div></td></tr>
</table></td>
</tr>
<tr><td colspan="2" class="rulecat"><div class="rulecat">
<div class="cat">S[ng]\NP</div>
<div class="rule" title="Forward Application">&gt; <sup>0</sup>
</div>
</div></td></tr>
</table></td>
</tr>
<tr><td colspan="2" class="rulecat"><div class="rulecat">
<div class="cat">S[dcl]\NP</div>
<div class="rule" title="Forward Application">&gt; <sup>0</sup>
</div>
</div></td></tr>
</table></td>
</tr>
<tr><td colspan="2" class="rulecat"><div class="rulecat">
<div class="cat">S[dcl]</div>
<div class="rule" title="Backward Application">&lt; <sup>0</sup>
</div>
</div></td></tr>
</table> </div>

Use with der.css.

\begin{tikzpicture}[ampersand replacement=\&]
	\matrix [column sep=9pt] at (0, 0) {
		\lexnode*{idm8}{They}{\catNP}{} \&
		\lexnode*{idm23}{were}{(\catS[dcl]\?\catNP)/(\catS[ng]\?\catNP)}{} \&
		\lexnode*{idm44}{talking}{(\catS[ng]\?\catNP)/\catPP}{} \&
		\lexnode*{idm61}{about}{\catPP/\catNP}{} \&
		\lexnode*{idm76}{you}{\catNP}{} \&
		\lexnode*{idm84}{.}{\cat.}{} \\
	};
	\binnode*{idm71}{idm76-cat}{idm84-cat}{.}{\catNP}{}
	\binnode*{idm56}{idm61-cat}{idm71}{\FC{0}}{\catPP}{}
	\binnode*{idm37}{idm44-cat}{idm56}{\FC{0}}{\catS[ng]\?\catNP}{}
	\binnode*{idm16}{idm23-cat}{idm37}{\FC{0}}{\catS[dcl]\?\catNP}{}
	\binnode*{idm3}{idm8-cat}{idm16}{\BC{0}}{\catS[dcl]}{}
\end{tikzpicture}

Use with ccgsym.sty and tikzlibraryccgder.code.tex.

Sentence

Parse

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