Анализ корпуса

AbstractThe Cambridge Language Survey is a research project whose activities centre around the use of an Integrated Language Database, whereby a computerised dictionary is used for intelligent cross-reference during corpus …...

In this paper we describe an architecture and functionality of main components of a workbench for an acquisition of do- main knowledge from large text corpora. The workbench supports an …...

We derive the rhetorical structures of texts by means of two new, surface-form-based algorithms: one that identifies discourse usages of cue phrases and breaks sen- tences into clauses, and one …...

This paper presents a range of methods for classifying Dutch noun countability based on either Dutch or English data. The classification is founded on transla- tional equivalences and the corpus …...

AbstractWe present a semi-supervised machine-learning approach for the classification of adjectives into property- vs. relation-denoting adjectives, a distinction that is highly relevant for ontology learning. The feasibility of this classification …...

AbstractThis paper proposes statistical analysis methods for improvement of terminology entry compounding. Terminology entry compounding is a mechanism that identifies matching entries across multiple multilingual terminology collections. Bilingual or trilingual …...

AbstractThis paper presents a corpus of human answers in natural language collected in order to build a base of examples useful when generating natural language answers. We present the corpus …...

AbstractCorpus analysis is a powerful tool for signed language synthesis. A new extension to ELAN offers expanded n-gram analysis tools including improved search capabilities and an extensive library of statistical …...

AbstractWe present the American Local News Corpus (ALNC), containing over 4 billion words of text from 2,652 online newspapers in the United States. Each article in the corpus is associated …...

The conferences ACL (Association for Computational Linguistics) and EMNLP (Empirical Methods in Natural Language Processing) rank among the premier venues that track the research develop- ments in Natural Language Processing …...

AbstractSimple Wikipedia has dominated simplification research in the past 5 years. In this opinion paper, we argue that focusing on Wikipedia limits simplification research. We back up our arguments with …...

AbstractThis paper reports SuperCAT, a corpus analysis toolkit. It is a radical extension of SubCAT, the Sublanguage Corpus Analysis Toolkit, from sublanguage analysis to corpus analysis in general. The idea …...

INSTANTIATION is a fairly common discourse relation and past work has suggested that it plays special roles in local coherence, in sen- timent expression and in content selection in summarization. …...

AbstractIn recent years, there has been an increasing interest in the application of Artificial Intelligence – and especially Machine Learning – to the field of Sustainable Development (SD). However, until …...

AbstractThe automatic summarization of argumentative texts has hardly been explored. This paper takes a further step in this direction, targeting news editorials, i.e., opinionated articles with a well-defined argumentation structure. …...

AbstractWe perform a corpus analysis to develop a representation of the knowledge and reasoning used to interpret indirect speech acts. An indirect speech act (ISA) is an utterance whose intended …...

AbstractParliamentary transcripts provide a valuable resource to understand the reality and know about the most important facts that occur over time in our societies. Furthermore, the political debates captured in …...