Even though the informal language of spoken text and web forum genres presents great difficulties for automatic semantic role labeling, we show that surprisingly, tuning statistical machine translation against the SRL-based objective function, MEANT, nevertheless leads more robustly to adequate translations of these informal genres than tuning against BLEU or TER. The accuracy of automatic sema...

The paper regards the electronic communication from the point of view of text typology. This problem has rather practical, than theoretical significance, taking into consideration the problems of the text selection for a representative corpus and of their annotation. But to solve this practical problem we need to solve a set of theoretical ones. The main theoretical obstacle we ought to surmoun...

The central questions are: How useful is information about part-of-speech frequency for text categorisation? Is it feasible to limit word features to content words for text classifications? This is examined for 5 domain and 4 genre classification tasks using LIMAS, the German equivalent of the Brown corpus. Because LIMAS is too heterogeneous, neither question can be answered reliably for any of...

We present an approach for the automatic extraction of transparent classification models of musical genres based on harmony. To allow for human-readable classification models we adopt a first-order logic representation of harmony and musical genres: pieces of music are represented as lists of chords and musical genres are seen as context-free definite clause grammars using subsequences of these...

Automatic summarization is a challenging task due to the fact that there exist a vast number of ways in which a particular text segment can be summarized. In addition, the quality of the final summary is judged differently by different humans according to their information need. Different techniques have been investigated which aim to capture the most salient content in text to include in a sum...

We have carried out a series of coverage evaluations of diverse types of parsers using texts from several genres such as newspaper, religious, legal and biomedical texts. We compared the overall coverage of the evaluated parsers and analyzed the differences by text genre. The results indicate that the coverage typically drops several percentage points when parsers are faced with texts on genres...

postmodernism is of the third period of human’s thought eras. during this era which spans the end of the nineteenth century to the present time , “creation “of the real replaces its “ discovery”. this stream is the extremist form of modernism. it has some specific qualities such as irony and mixture of popular art and formal art. this essay aims to analyze one of arabic modern texts named “coll...

My work aims to build a system to automatically predict the writing quality in scientific articles from two genres—academic publications and science journalism. Our goal is to employ these predictions for article recommendation systems and to provide feedback during

This chapter studies the use of textual features based on systemic functional linguistics, for genre-based text categorization. We describe feature sets that represent different types of conjunctions and modal assessment, which together can partially indicate how different genres structure text and may prefer certain classes of attitudes towards propositions in the text. This enables analysis o...