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This paper describes a multi-word expression processor for preprocessing Turkish text for various language engineering applications. In addition to the fairly standard set of lexicalized collocations and multi-word expressions such as named-entities, Turkish uses a quite wide range of semi-lexicalized and non-lexicalized collocations. After an overview of relevant aspects of Turkish, we present a description of the multi-word expressions we handle. We then summarize the computational setting in which we employ a series of components for tokenization, morphological analysis, and multi-word expression extraction. We finally present results from runs over a large corpus and a small gold-standard corpus.

I hereby declare that all information in this document has been obtained and presented in accordance with academic rules and ethical conduct. I also declare that, as required by these rules and conduct, I have fully cited and referenced all material and results that are not original to this work. Name, Last Name: SERKAN ÇAK

Punctuation has usually been ignored by researchers in computational linguistics over the years. Recently, it has been realized that a true understanding of written language will be impossible if punctuation marks are not taken into account. This paper contains the details of a computer-aided exercise to investigate English punctuation practice for the special case of comma (the most significant punctuation mark) in a parsed corpus. The study classifies the various "structural" uses of the comma according to the syntax-patterns in which a comma occurs. The corpus (Penn Treebank) consists of syntactically annotated sentences with no part-of-speech tag information about the individual words.

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Some recent studies in computational linguistics have aimed to take advantage of various cues presented by punctuation marks. This short survey is intended to summarise these research efforts and additionally, to outline a current perspective for the usage and functions of punctuation marks. We conclude by presenting an information-based framework for punctuation, influenced by treatments of several related phenomena in computational linguistics.

Punctuation has so far attracted attention within the linguistics com munity mostly from a syntactic perspective. In this paper, we give a preliminary account of the information-based aspects of punctuation, drawing our points from assorted, naturally-occurring sentences. We present our formal models of these sentences and the semantic contri butions of punctuation marks. Our formalism is a simplified analogue of an extension-due to Nicholas Asher-of Discourse Representa tion Theory.

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