Comparing rhetorical structures in different languages: The influence of translation strategies

Cunha, Iria da; Iruskieta, Mikel

doi:10.1177/1461445610371054

Cited by 23 publications

(17 citation statements)

References 16 publications

(12 reference statements)

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“…This article adopts the definition of discourse segment put forward by Tofiloski et al (2009: 77): ‘Discourse segmentation is the process of decomposing discourse into elementary discourse units (EDUs), which may be simple sentences or clauses in a complex sentence, and from which discourse trees are constructed’. Specifically, we use the criteria for discourse segmentation most used in Spanish described in da Cunha et al (2012b), da Cunha and Iruskieta (2010) and Iruskieta et al (2015). See, for instance, examples 1 and 2.…”

Section: Methodsmentioning

confidence: 99%

A corpus-based analysis of textual genres in the administration domain

Cunha

Montané

2019

Discourse Studies

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Laymen occasionally have to write texts in specialized domains, such as when interacting with the public administration. However, in Spanish, most studies related to administrative texts have focused on texts written by the administration for laymen rather than texts that average citizens write to the administration. Against this backdrop, this article aims to carry out the following: (a) a linguistic analysis on a corpus of Spanish-language texts from five textual genres written by laymen and addressed to the public administration (allegation, cover letter, letter of complaint, claim, and application) on the textual, lexical and discourse levels; (b) a contrastive analysis that applies statistical techniques to quantitative data to identify significant differences among these textual genres. The results show a detailed and comprehensive understanding of the characteristics of each genre. Also, the statistical results indicate that there are significant differences among some of the analyzed genres.

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Section: Methodsmentioning

confidence: 99%

A corpus-based analysis of textual genres in the administration domain

Cunha

Montané

2019

Discourse Studies

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“…Discourse annotation (Hovy, 2010) and its evaluation is a challenging task (Das et al, 2017;Mitocariu et al, 2013;van der Vliet, 2010;da Cunha and Iruskieta, 2010;Maziero et al, 2009;Marcu, 2000). To understand what this parser is doing, we followed the evaluation method proposed by , and compare our best systems in order to understand what kind of RS-trees the system is producing.…”

Section: Qualitative Evaluation and Confusion Matrixmentioning

confidence: 99%

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Iruskieta¹,

Braud²

2019

Proceedings of the Workshop on Discourse Relation Parsing and Treebanking 2019

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Development of discourse parsers to annotate the relational discourse structure of a text is crucial for many downstream tasks. However, most of the existing work focuses on English, assuming a quite large dataset. Discourse data have been annotated for Basque, but training a system on these data is challenging since the corpus is very small. In this paper, we create the first parser based on RST for Basque, and we investigate the use of data in another language to improve the performance of a Basque discourse parser. More precisely, we build a monolingual system using the small set of data available and investigate the use of multilingual word embeddings to train a system for Basque using data annotated for another language. We found that our approach to building a system limited to the small set of data available for Basque allowed us to get an improvement over previous approaches making use of many data annotated in other languages. At best, we get 34.78 in F1 for the full discourse structure. More data annotation is necessary in order to improve the results obtained with these techniques. We also describe which relations match with the gold standard, in order to understand these results.

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“…This corpus has been quite successful and influential in research on discourse structure. RST corpora in many languages were established following the development of RST theory and the advancement of computational techniques (Da Cunha et al, 2011; Da Cunha and Iruskieta, 2010; Stede and Neumann, 2014). These RST corpora are of great help in making quantitative analyses and carrying out automatic processing.…”

Section: State Of the Artmentioning

confidence: 99%

A computational model for measuring discourse complexity

Sun

Xiong

2019

Discourse Studies

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In past studies, the few quantitative approaches to discourse structure were mostly confined to the presentation of the frequency of discourse relations. However, quantitative approaches should take into account both hierarchical and relational layers in the discourse structure. This study considers these factors and addresses the issue of how discourse relations and discourse units are related. It draws upon the available corpora of discourse structure (rhetorical structure theory-discourse treebank (RST-DT)) from a new perspective. Since an RST tree can be converted into a syntactic dependency tree, the data extracted from the RST-DT can be useful for calculating the discourse distance in much the same way as syntactic dependency distance is calculated. Discourse distance is also applicable to measuring the depth of the human processing of discourse. Furthermore, the data derived from the RST-DT are also easily converted into network data. This study finds that discourse structure has its discourse distance minimum and each type of RST relations has its range of discourse distance. The frequency distribution of discourse data basically follows the power law on several levels, while a network approach reveals how discourse units are arranged spatially in regular patterns. The two methods are mutually complementary in revealing the interaction between discourse relations and discourse units in a comprehensive manner, as well as in revealing how people process and comprehend discourse dynamically. Accordingly, we propose merging the two methods so as to yield a computational model for assessing discourse complexity and comprehension.

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Comparing rhetorical structures in different languages: The influence of translation strategies

Cited by 23 publications

References 16 publications

A corpus-based analysis of textual genres in the administration domain

A corpus-based analysis of textual genres in the administration domain

Untitled

A computational model for measuring discourse complexity

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