\begin{enumerate}[label=\alph*.]
	% 2a
	\item
		Using the existing (English language) infrastructure to process foreign
		queries might work better than one might expect. A lot of languages
		share linguistic structures with English such as word positioning.
		Moreover a lot of specialised domain words and proper names in foreign
		languages are borrowed from English.

		Of course there are also very major problems. A very big problem would
		be not translating certain (question) words. For example the query
		\emph{Stierf Micheal Jackson in 2009?}. When we put this query in the
		engine it will know that something happened to \emph{MJ} in 2009 but it
		will not know whether that something is the same as what the user
		wanted to ask which leads to confusion.

		Moreover, there are several seemingly simple structural
		divergences (Section 25.1.2) that can cause major problems when not
		translating such as date notation.

		In conclusion, using no translation, when the language is similar to
		English it might yield surprisingly good results. However, when the
		difference is bigger especially the question classification will be
		wrong and that will result into strange answers.

	% 2b
	\item
		Translated material is hardly ever exactly the same as the original
		materials, it either has more details that were not in the original
		query, less details or wrong details.

		More details can occur because of lexical gaps (Section 25.1.3). Some
		language might have been developed in a region where there hardly any
		fish, such as in the desert, and therefore the need for specialised
		words in fishing was not there. Maybe this language only has one word
		for fish whereas English has many. In this way extra details can be
		inserted. Of course this also works the other way around. A popular,
		dubious statement is often made that some Inu{\"\i}t language has over
		a hundred words for snow. When such a specialised word is used it might
		not be possible to correctly translate it at all to English and
		therefore we lose detail.

	% 2c
	\item
		The quality of the knowledge extraction depends heavily on the user's
		language because of the aforementioned lexical gaps. However, these
		lexical gaps might be bridged with a suitable translation system that
		can add information to the words that might not be available in the
		target language. Some topics are just harder to discuss, or ask
		questions about in some languages.

\end{enumerate}
