Results 1 to 10 of about 273,233 (296)

Termhood-based Comparability Metrics of Comparable Corpus in Special Domain [PDF]

open access: yes, 2013
Cross-Language Information Retrieval (CLIR) and machine translation (MT) resources, such as dictionaries and parallel corpora, are scarce and hard to come by for special domains.
C.Y. Kit, T. Talvensaari, T. Talvensaari
core   +2 more sources

Valores deónticos en un corpus comparable [PDF]

open access: yes, 2013
In recent years, translation studies have abandoned prescriptive theoretical approaches in favour of descriptive ones focussing on the observation of translated texts as autonomous language products characterized by specific traits deriving from the ...
Anna, Polo
core   +4 more sources

The Use of Corpora in Translation Into the Second Language: A Project-Based Approach

open access: yesFrontiers in Education, 2022
This manuscript investigates to what extent the use of corpora could help translation trainees while translating from Arabic into English and vice versa.
Tawffeek A. S. Mohammed
doaj   +1 more source

Can comparable corpora be compared? [PDF]

open access: yesIbérica, 2020
Podemos afirmar que, hoy en día, no existe un acuerdo unánime sobre los criterios para compilar un corpus comparable o sobre cómo evaluar la comparabilidad de un corpus.
Belén López Arroyo
doaj   +1 more source

The International Comparable Corpus: Challenges in building multilingual spoken and written comparable corpora

open access: yesResearch in Corpus Linguistics, 2021
This paper reports on the efforts of twelve national teams in building the International Comparable Corpus (ICC; https://korpus.cz/icc) that will contain highly comparable datasets of spoken, written and electronic registers. The languages currently covered are Czech, Finnish, French, German, Irish, Italian, Norwegian, Polish, Slovak, Swedish and, more
Čermáková, Ann   +7 more
openaire   +4 more sources

Verb similarity: Comparing corpus and psycholinguistic data [PDF]

open access: yesCorpus Linguistics and Linguistic Theory, 2018
Abstract Similarity, which plays a key role in fields like cognitive science, psycholinguistics and natural language processing, is a broad and multifaceted concept. In this work we analyse how two approaches that belong to different perspectives, the corpus view and the psycholinguistic view, articulate similarity between verb senses in Spanish ...
Gil-Vallejo, Lara   +3 more
openaire   +5 more sources

CompText: Visualizing, Comparing & Understanding Text Corpus

open access: yes, 2022
A common practice in Natural Language Processing (NLP) is to visualize the text corpus without reading through the entire literature, still grasping the central idea and key points described. For a long time, researchers focused on extracting topics from the text and visualizing them based on their relative significance in the corpus. However, recently,
Varshney, Suvi, Jas, Divjeet Singh
openaire   +2 more sources

‘Be’ Verbs in a Contrastive Perspective: The Case of BÝT, BE and VÆRE

open access: yesNJES: Nordic Journal of English studies, 2023
This paper reports on a cross-linguistic study of ‘be’ verbs in Czech, English and Norwegian, viz. být, be and være, drawing on data from the fiction part of the International Comparable Corpus (Čermáková et al. 2021). The study identifies two main uses
Anna Čermáková   +2 more
doaj   +1 more source

A Simple Yet Robust Algorithm for Automatic Extraction of Parallel Sentences: A Case Study on Arabic-English Wikipedia Articles

open access: yesIEEE Access, 2022
Parallel corpora are vital components in several applications of Natural Language Processing (NLP), particularly in machine translation. In this paper, we present a novel method for automatically creating parallel sentences from comparable corpora.
Maha Jarallah Althobaiti
doaj   +1 more source

Corpus-based studies in conference interpreting

open access: yesСлово.ру: балтийский акцент, 2019
Corpus-based interpreting studies (CIS) are a relatively recent “[…] Off-shoot of Corpus-based Translation Studies” to quote the seminal paper (1998) by the late Miriam Shlesinger, a constant source of inspiration for the T&I community.
Russo M.
doaj   +1 more source

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