Utility and Application of Language Corpora

Ramamoorthy, L.; Dash, Niladri Sekhar

doi:10.1007/978-981-13-1801-6

Cited by 16 publications

(9 citation statements)

References 1 publication

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“…Modern dictionaries are corpus-based dictionaries. Dash and Ramamoorthy (2019) noted that language corpus provides an empirical basis in the selection of words and other lexical items. Most big dictionaries in English, like Oxford English Dictionary and Macmillan Dictionary rely on corpora in their building to guarantee a high level of authenticity in all linguistic information they provide.…”

Section: Corpus Linguisticsmentioning

confidence: 99%

Using Technology to Compile an English-Arabic Glossary of the most Frequent Collocations in Ted Talks Parallel Corpus

Issa

Al-Jabri

Abushmaes³

2022

Hum

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Translation has evolved over the years and is now benefiting from the progress made in the field of technology and corpus linguistics. This study aims to use technology, particularly AntConc toolkit, to compile an English-Arabic glossary of the most frequent collocations listed in TED Talks parallel corpus. The glossary contains 1,000 unique English headwords and a total of 3,670 English collocations along with their Arabic translations as produced by Ted Talks translators and the researchers. Headwords in the glossary are alphabetically ordered and each collocation is accompanied with its frequency and its Arabic translation. The paper demonstrates the process through which the bilingual English-Arabic glossary has been compiled and the steps taken to process the collected data.

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Section: Corpus Linguisticsmentioning

confidence: 99%

Using Technology to Compile an English-Arabic Glossary of the most Frequent Collocations in Ted Talks Parallel Corpus

Issa

Al-Jabri

Abushmaes³

2022

Hum

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“…To serve our purpose, we developed our dataset on sentiment polarity by collecting data from the available web resources such as blogs, Facebook, and e-commerce sites. We endorsed a technique of developing a dataset, as explained by Das et al [3].…”

Section: Dataset Preparationmentioning

confidence: 99%

Sentiment Polarity Detection on Bengali Book Reviews Using Multinomial Naïve Bayes

Hossain

Sharif

Hoque

2021

Advances in Intelligent Systems and Computing

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Recently, sentiment polarity detection has increased attention to NLP researchers due to the massive availability of customer's opinions or reviews in the online platform. Due to the continued expansion of e-commerce sites, the rate of purchase of various products, including books, are growing enormously among the people. Reader's opinions/reviews affect the buying decision of a customer in most cases. This work introduces a machine learning-based technique to determine sentiment polarities (either positive or negative category) from Bengali book reviews. To assess the effectiveness of the proposed technique, a corpus with 2000 reviews on Bengali books is developed. A comparative analysis with various approaches (such as logistic regression, naive Bayes, SVM, and SGD) also performed by taking into consideration of the unigram, bigram, and trigram features, respectively. Experimental result reveals that the multinomial Naive Bayes with unigram feature outperforms the other techniques with 84% accuracy on the test set.

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“…As is well-known, the results of corpus studies are applied in both learning the language at all levels and in all its manifestations (Bowker, 1998;Dash, Ramamoorthy, 2019;Fligelstone, 1993;McEnery, Wilson, 2008;Sinclair, 1991), as well as in performing various operations with the language, one of the most important and the most difficult among which is translation, both regarding particular methods and techniques of elaboration (Castagnoli, 2012;Musacchio, Palumbo, 2010;Salkie, 2002), as well as in terms of the general concept of translation, with special reference to translation competence issues (Martin, 2014;Pietrzak, 2015;Xiao, Hu, 2015;Zanettin, 2014) and its role in the cultural, intercultural and cross-cultural awareness development, including its cognitive and conceptual basis investigation (Katan, 2009;Liddicoat, 2015;Raitskaya, Tikhonova, 2019;Snell-Hornby, Jettmarová, Kaindl, 1997;Schwieter, Ferreira, 2020).…”

Section: Introductionmentioning

confidence: 99%

Corpus in Translation Classroom: A Case Study of Translating Economic Terms

Anisimova¹,

Vishnyakova²

2021

Rural Environment. Education. Personality (REEP)

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The article deals with the role of corpus in translation and translation studies. The paper focuses on different aspects which should be taken into consideration when compiling a representative corpus. The researchers focus on the role the corpus of professional texts plays when choosing translation equivalents for terms, including just created and not yet registered in terminological dictionaries. The aim of the research is to elaborate the approach to the use of corpus material in the course of translation in specialized and professional fields, with particular attention to some aspects of translation competence development. The analysis based on the comparative, definitional and contextual methods proved that parallel text corpora provide professional experts, as well as students of translation, with reliable knowledge of linguistic units functioning and semantic meaning actualization within certain contexts in the Language for Specific Purposes (LSP) domain. The studies have shown that a comparative statistical analysis of a corpus of professional texts might be recommended when looking for an adequate equivalent for a term. The scope of application of the methodology suggested is not confined to certain terminological systems or fields of knowledge. The translation competence development that includes compiling text corpora and making adequate choices by students dealing with appropriate instructions on the part of the teacher, as the task concerns with high level of knowledge acquisition as refers to both linguistic and translation expertise.

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Utility and Application of Language Corpora

Cited by 16 publications

References 1 publication

Using Technology to Compile an English-Arabic Glossary of the most Frequent Collocations in Ted Talks Parallel Corpus

Using Technology to Compile an English-Arabic Glossary of the most Frequent Collocations in Ted Talks Parallel Corpus

Sentiment Polarity Detection on Bengali Book Reviews Using Multinomial Naïve Bayes

Corpus in Translation Classroom: A Case Study of Translating Economic Terms

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