Multilingual text analysis challenges, models, and approaches

Multilingual text analysis challenges, models, and approaches editors Marina Litvak, Natalia Vanetik, Shamoon College of Engineering, Israel. - pages cm

Includes bibliographical references and index.

Multilingual text analysis : history, tasks and challenges -- Using a polytope model for unsupervised document summarization -- Approach for unsupervised multilingual document summarization -- Rich feature spaces and regression models in single-document extractive summarization -- Hierarchical topic model and summarization -- A survey of neural models for abstractive summarization -- Heads : headline generation as a sequence prediction using an abstract feature-rich space -- Crowdsourcing in single-document summary -- Multilingual summarization and evaluation using Wikipedia featured articles -- Are better summaries also easier to understand? : analyzing text complexity -- In automatic summarization -- Twitter event detection, analysis, and summarization -- Linguistic bias in crowdsourced biographies : a cross-lingual examination -- Multilingual financial narrative processing : analysis annual reports in -- English, Spanish, and Portugese.

9789813274877 (hardcover)


Critical discourse analysis.
Discourse analysis.
Written communication.
Content analysis (Communication)
Applied linguistics--Data processing.--Methodology.

401.41 / LIT

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