Error analysis for anaphora resolution in Russian: new challenging
            issues for anaphora resolution task in a morphologically rich
            language

Toldova, Svetlana; Azerkovich, Ilya; Ladygina, Alina; Roitberg, Anna; Vasilyeva, Maria

doi:10.18653/v1/w16-0711

Cited by 9 publications

(7 citation statements)

References 4 publications

(4 reference statements)

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“…In Russian, to express the idea of sentence 20a the pronoun sam would be used, which has the same form for animate and inanimate entities. In contrast to English, Russian reflexive pronouns do not agree with their antecedent in number and gender, nor do they express animacy (Toldova et al, 2016). So the error, again, can be caused by the influence of the learners' native language.…”

Section: (B) This Beliefs and Expectations Produce Norms That Powerfumentioning

confidence: 91%

Referential Coherence of Academic Texts: A Corpus-Based Analysis of L2 Research Papers in Management

Elizaveta

2019

JLE

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This paper focuses on referential coherence, which is seen as a crucial attribute of effective academic writing. Findings are reported from a corpus study of Russian students’ research proposals. The learners’ use of anaphoric expressions is compared with a reference corpus, which comprises research articles published in peer-reviewed journals. It was hypothesised that learners use anaphora less frequently than professional writers and face some difficulties when using anaphoric expressions. The results of the analysis partly confirmed the hypothesis and allowed the identification of particular problems connected with the students’ use of anaphoric expressions, which were then classified into several groups. Examples of exercises aimed at dealing with the identified problems are also provided. It is hoped that the reported findings, as well as the author’s suggested reasons for the problems and possible ways of dealing with them, will be useful for EAP practitioners, researchers, and students writing their research papers in English.

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Section: (B) This Beliefs and Expectations Produce Norms That Powerfumentioning

confidence: 91%

Referential Coherence of Academic Texts: A Corpus-Based Analysis of L2 Research Papers in Management

Elizaveta

2019

JLE

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“…Mixed Polish coreferences resolution approach combines neural networks architecture with the sieve-based approach [48]. For Russian, RU-EVAL-2014 [49] was an evaluation campaign of anaphora and coreferences resolution tools that employed a wide variety of approaches. The evaluation was performed on Russian Coreference Corpus (RuCur).…”

Section: Related Workmentioning

confidence: 99%

“…For Russian, RU-EVAL-2014 [49] was an evaluation campaign of anaphora and coreferences resolution tools that employed a wide variety of approaches. The evaluation was performed on Russian Coreference Corpus (RuCur).…”

Section: Related Workmentioning

confidence: 99%

Minimalistic Approach to Coreference Resolution in Lithuanian Medical Records

Žitkus

Butkienė

Butleris

et al. 2019

Computational and Mathematical Methods in Medicine

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Coreference resolution is a challenging part of natural language processing (NLP) with applications in machine translation, semantic search and other information retrieval, and decision support systems. Coreference resolution requires linguistic preprocessing and rich language resources for automatically identifying and resolving such expressions. Many rarer and under-resourced languages (such as Lithuanian) lack the required language resources and tools. We present a method for coreference resolution in Lithuanian language and its application for processing e-health records from a hospital reception. Our novelty is the ability to process coreferences with minimal linguistic resources, which is important in linguistic applications for rare and endangered languages. The experimental results show that coreference resolution is applicable to the development of NLP-powered online healthcare services in Lithuania.

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“…Российские ученые [15] сравнивают шесть программных систем обнаружения анафоры. Для автоматизации процесса поиска в системах использовались методы машинного обучения, морфологические и синтаксические анализаторы, онтологии и правила.…”

Section: обзор смежных работunclassified

Automated Search of Rhythm Figures in a Literary Text for Comparative Analysis of Originals and Translations Based on the Material of the English and Russian Languages

Lagutina

Бойчук

et al. 2019

Model. anal. inf. sist.

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Analysis of the functional equivalence of an original text and its translation based on the achievement of rhythm equivalence is an extremely important task of modern linguistics. Moreover, the rhythm component is an integral part of functional equivalence that cannot be achieved without communication of rhythm figures of the text. To analyze rhythm figures in an original literary text and its translation, the authors developed the ProseRhythmDetector software tool that allows to find and visualize lexical and syntactic figures in English- and Russian-language prose texts: anaphora, epiphora, symploce, anadiplosis, epanalepsis, reduplication, epistrophe, polysyndeton, and aposiopesis. The goal of this work is to present the results of ProseRhythmDetector testing on two works by English authors and their translations into Russian: Ch. Bronte “Villette” and I. Murdoch “The Black Prince”. Basing on the results of the tool, the authors compared rhythm figures in an original text and its translation both in aspects of the rhythm and their contexts. This experiment made it possible to identify how the features of the author’s style are communicated by the translator, to detect and explain cases of mismatch of rhythm figures in the original and translated texts. The application of the ProseRhythm-Detector software tool made it possible to significantly reduce the amount of linguistsexperts work by automated detection of lexical and syntactic figures with quite high precision (from 62 % to 93 %) for various rhythm figures.

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Error analysis for anaphora resolution in Russian: new challenging issues for anaphora resolution task in a morphologically rich language

Cited by 9 publications

References 4 publications

Referential Coherence of Academic Texts: A Corpus-Based Analysis of L2 Research Papers in Management

Referential Coherence of Academic Texts: A Corpus-Based Analysis of L2 Research Papers in Management

Minimalistic Approach to Coreference Resolution in Lithuanian Medical Records

Automated Search of Rhythm Figures in a Literary Text for Comparative Analysis of Originals and Translations Based on the Material of the English and Russian Languages

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