CCGWeb - I'll look it up.

'll

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

look

((S[b]\NP)/PR)/NP

(S[b]\NP)/PR

> ⁰

S[b]\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="I" data-from="0" data-to="1" data-cat="NP">
<tr><td class="token">I</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="'ll" data-from="1" data-to="4" data-cat="(S[dcl]\NP)/(S[b]\NP)">
<tr><td class="token">'ll</td></tr>
<tr><td class="cat" tabindex="0">(S[dcl]\NP)/(S[b]\NP)</td></tr>
<tr><td class="span-swiper"> </td></tr>
</table></td>
<td class="daughter daughter-right"><table class="constituent binaryrule" data-cat="S[b]\NP">
<tr class="daughters">
<td class="daughter daughter-left"><table class="constituent binaryrule" data-cat="(S[b]\NP)/PR">
<tr class="daughters">
<td class="daughter daughter-left"><table class="constituent lex" data-token="look" data-from="5" data-to="9" data-cat="((S[b]\NP)/PR)/NP">
<tr><td class="token">look</td></tr>
<tr><td class="cat" tabindex="0">((S[b]\NP)/PR)/NP</td></tr>
<tr><td class="span-swiper"> </td></tr>
</table></td>
<td class="daughter daughter-right"><table class="constituent lex" data-token="it" data-from="10" data-to="12" data-cat="NP">
<tr><td class="token">it</td></tr>
<tr><td class="cat" tabindex="0">NP</td></tr>
<tr><td class="span-swiper"> </td></tr>
</table></td>
</tr>
<tr><td colspan="2" class="rulecat"><div class="rulecat">
<div class="cat">(S[b]\NP)/PR</div>
<div class="rule" title="Forward Application">&gt; <sup>0</sup>
</div>
</div></td></tr>
</table></td>
<td class="daughter daughter-right"><table class="constituent binaryrule" data-cat="PR">
<tr class="daughters">
<td class="daughter daughter-left"><table class="constituent lex" data-token="up" data-from="13" data-to="15" data-cat="PR">
<tr><td class="token">up</td></tr>
<tr><td class="cat" tabindex="0">PR</td></tr>
<tr><td class="span-swiper"> </td></tr>
</table></td>
<td class="daughter daughter-right"><table class="constituent lex" data-token="." data-from="15" data-to="16" 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">PR</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">S[b]\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}{I}{\catNP}{} \&
		\lexnode*{idm23}{'ll}{(\catS[dcl]\?\catNP)/(\catS[b]\?\catNP)}{} \&
		\lexnode*{idm53}{look}{((\catS[b]\?\catNP)/\catPR)/\catNP}{} \&
		\lexnode*{idm67}{it}{\catNP}{} \&
		\lexnode*{idm80}{up}{\catPR}{} \&
		\lexnode*{idm88}{.}{\cat.}{} \\
	};
	\binnode*{idm44}{idm53-cat}{idm67-cat}{\FC{0}}{(\catS[b]\?\catNP)/\catPR}{}
	\binnode*{idm75}{idm80-cat}{idm88-cat}{.}{\catPR}{}
	\binnode*{idm37}{idm44}{idm75}{\FC{0}}{\catS[b]\?\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

Translations