Three Approaches to Generating Texts in Different Styles

Natural Language Generation (nlg) systems generate texts in English and other human languages from non-linguistic input data. Usually there are a large number of possible texts that can communicate the input data, and nlg systems must choose one of these. We argue that style can be used by nlg systems to choose between possible texts, and explore how this can be done by (1) explicit stylistic parameters, (2) imitating a genre style, and (3) imitating an individual’s style

Prototype effects in discourse and the synonymy issue: Two Lakota postpositions

Despite of being fully synonymous at the semantic level, the postpositions el "locative/directional" and ekta "locative/directional" in Lakota (Siouan, Central North America) display different semantic cores in discourse: the semantic prototype for el is the role of locative, while the semantic prototype for ekta is the role of directional. Both the functional synonymy between el and ekta and the observed prototype effects can be attributed to constellations created by grammaticalization processes: when an innovative grammatical element is developing-in this case, ekta-replacement of a functionally equivalent older element-in this case, el-is unlikely, to happen overnight, so that the innovative and the older element can be expected to coexist for a while, and to share functional domains

Comparability measurement for terminology extraction

Proceedings of the Workshop CHAT 2011: Creation, Harmonization and Application of Terminology Resources. Editors: Tatiana Gornostay and Andrejs Vasiļjevs. NEALT Proceedings Series, Vol. 12 (2011), 3-10. © 2011 The editors and contributors. Published by Northern European Association for Language Technology (NEALT) http://omilia.uio.no/nealt . Electronically published at Tartu University Library (Estonia) http://hdl.handle.net/10062/16956

Evaluate the expression: An analysis of the linguistic features of directions in an upper elementary mathematics textbook

This quantitative study examined the linguistic features that are used in directional sentences in an upper-elementary mathematics textbook. Specifically, the research addressed grammatical and syntactical features (i.e. complex phrases, lexical bundles, vocabulary) that research literature identified as difficult aspects of the language of mathematics to determine whether those same features were present in directions. Directional sentences from Math in Focus (grade 4) were compiled into a corpus which was analyzed for the presence of difficult linguistic features according to research. Words in the corpus were then compared to identified vocabulary lists to reveal potentially difficult academic and content vocabulary. Results indicate that ELs would benefit from explicit instruction on the structure of commands, verb-initial sentences, and the use of everyday vocabulary in the language of mathematics. The results suggest that teachers should adjust their instructional discourse to connect to the verb-initial command structure prevalent in the analyzed directional sentences

Blog Style Classification: Refining Affective Blogs

In the constantly growing blogosphere with no restrictions on form or topic, a number of writing styles and genres have emerged. Recognition and classification of these styles has become significant for information processing with an aim to improve blog search or sentiment mining. One of the main issues in this field is detection of informative and affective articles. However, such differentiation does not suffice today. In this paper we extend the differentiation and suggest a fine-grained set of subcategories for affective articles. We propose and evaluate a classification method employing novel lexical, morphological, lightweight syntactic and structural features of written text. The results show that our method outperforms the existing approaches