Keyword-Based Search on Bilingual Digital Libraries

Stanković, Ranka; Krstev, Cvetana; Vitas, Duško; Vulović, Nikola; Kitanović, Olivera

doi:10.1007/978-3-319-53640-8_10

Cited by 12 publications

(11 citation statements)

References 4 publications

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“…For systematic development of raw material terminology, textual resources, namely, bilingual libraries and corpora are also needed. Thus, articles from the scientific journal Underground Mining, published both in Serbian and English, stored in the bilingual digital library Bibliša, as one of the collections of aligned English-Serbian bi-texts [29,30], were also used in our approach.…”

Section: Digital Resources In Raw Materials Domainmentioning

confidence: 99%

“…However, when it comes to terms in the form of terminological phrases, their extraction from corpora becomes much more complicated. Automatic extraction of term candidates for Serbian relies on a procedure presented in [30,34]. Essentially, it is based on detecting words in corpora that follow one of the 23 specific syntactic patterns, most frequent for noun terms (AN adjective-noun, NNg noun-noun in genitive case, AAN, .…”

Section: Adding New Serbian Terms To General Lexica Dictionariesmentioning

confidence: 99%

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A Data Driven Approach for Raw Material Terminology

et al. 2021

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The research presented in this paper aims at creating a bilingual (sr-en), easily searchable, hypertext, born-digital, corpus-based terminological database of raw material terminology for dictionary production. The approach is based on linking dictionaries related to the raw material domain, both digitally born and printed, into a lexicon structure, aligning terminology from different dictionaries as much as possible. This paper presents the main features of this approach, data used for compilation of the terminological database, the procedure by which it has been generated and a mobile application for its use. Available (terminological) resources will be presented—paper dictionaries and digital resources related to the raw material domain, as well as general lexica morphological dictionaries. Resource preparation started with dictionary (retro)digitisation and corpora enlargement, followed by adding new Serbian terms to general lexica dictionaries, as well as adding bilingual terms. Dictionary development is relying on corpus analysis, details of which are also presented. Usage examples, collocations and concordances play an important role in raw material terminology, and have also been included in this research. Some important related issues discussed are collocation extraction methods, the use of domain labels, lexical and semantic relations, definitions and subentries.

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Section: Digital Resources In Raw Materials Domainmentioning

confidence: 99%

Section: Adding New Serbian Terms To General Lexica Dictionariesmentioning

confidence: 99%

A Data Driven Approach for Raw Material Terminology

et al. 2021

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“…For this reason, we have chosen to include multi-word units automatically extracted from the domain corpus using syntax graphs developed within the Unitex program. By using the tool Leximir, term candidates were extracted according to pre-defined syntactic patterns (Stanković et al, 2016b) (Krstev et al, 2015); the lexical units were then lemmatized to unify all the occurrences of multi-word lemmas. Since this kind of lemmatization can lead to ambiguity, we employed different strategies to resolve these issues.…”

Section: Multi-word Term Extraction In Serbianmentioning

confidence: 99%

“…Secondly, several statistical measures were implemented to rank the term candidates. Finally, term candidate were evaluated and selected for a terminology dictionary (Stanković et al, 2016b). The 20 most frequent Serbian multiword terminological units in the corpus (shown in Table 5) are mostly noun phrases with an adjective as a premodifier (grf01, the adjective + noun pattern, marked with AXN, with adjective-noun agreement in gender, number and case), e.g.…”

Section: Multi-word Term Extraction In Serbianmentioning

confidence: 99%

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Aligned Parallel Corpus for the Domain of Management: Preparation and Potential Applications

Anđelković¹,

Seničić²,

Stanković³

2018

Infotheca

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The paper presents an aligned parallel English-Serbian corpus for the domain of management. This is a larger text collection available through Biblisha, an aligned collection search tool. In addition to describing the content of the corpus, the selection criteria and the text compilation process, the paper also illustrates the possible applications of the corpus by using corpus analysis examples in several areas of linguistic studies, i.e. in terminological, comparative and contrastive studies of language for specific purposes (LSP), specialized and academic discourse, translation process, and in the teaching and learning of English for specific purposes (ESP).

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Bilingual Qatar Digital Library: Benefits and Challenges

Mahmoud

Al-Sarraj

2018

Lecture Notes in Computer Science

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Keyword-Based Search on Bilingual Digital Libraries

Cited by 12 publications

References 4 publications

A Data Driven Approach for Raw Material Terminology

A Data Driven Approach for Raw Material Terminology

Aligned Parallel Corpus for the Domain of Management: Preparation and Potential Applications

Bilingual Qatar Digital Library: Benefits and Challenges

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