Results 11 to 20 of about 2,065,709 (290)

Empirical Analysis of Parallel Corpora and In-Depth Analysis Using LIWC

Applied Sciences, 2022
The machine translation system aims to translate source language into target language. Recent studies on MT systems mainly focus on neural machine translation.
Chanjun Park, Midan Shim, Sugyeong Eo, Seolhwa Lee, Jaehyung Seo, Hyeonseok Moon, Heuiseok Lim   +6 more
doaj   +2 more sources

Principled Paraphrase Generation with Parallel Corpora [PDF]

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022
Round-trip Machine Translation (MT) is a popular choice for paraphrase generation, which leverages readily available parallel corpora for supervision. In this paper, we formalize the implicit similarity function induced by this approach, and show that it is susceptible to non-paraphrase pairs sharing a single ambiguous translation.
Aitor Ormazabal, Mikel Artetxe, Aitor Soroa, Gorka Labaka, Eneko Agirre   +4 more
openaire   +4 more sources

ParaCrawl: Web-Scale Acquisition of Parallel Corpora [PDF]

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
We report on methods to create the largest publicly available parallel corpora by crawling the web, using open source software. We empirically compare alternative methods and publish benchmark data sets for sentence alignment and sentence pair filtering.
Marta Bañón, Pinzhen Chen, Barry Haddow, Kenneth Heafield, Hieu Hoang, Miquel Esplà-Gomis, Mikel L. Forcada, Amir Kamran, Faheem Kirefu, Philipp Koehn, Sergio Ortiz-Rojas, Leopoldo Pla Sempere, Gema Ramírez-Sánchez, Elsa Sarrías, Marek Strelec, Brian Thompson 0001, William Waites, Dion Wiggins, Jaume Zaragoza   +18 more
openaire   +5 more sources

Parallel Corpora for the Biomedical Domain

Proceedings of the Language Resources and Evaluation Conference, 2018
A vast amount of biomedical information is available in the form of scientific literature and government-authored patient information documents. While English is the most widely used language in many of these sources, there is a need to provide access to health information in languages other than English.
Névéol, Aurélie, Jimeno Yepes, Antonio, Neves, L, Verspoor, Karin   +3 more
openaire   +4 more sources

Improving neural machine translation for low resource languages through non-parallel corpora: a case study of Egyptian dialect to modern standard Arabic translation. [PDF]

Sci Rep
Machine translation for low-resource languages poses significant challenges, primarily due to the limited availability of data. In recent years, unsupervised learning has emerged as a promising approach to overcome this issue by aiming to learn ...
Faheem MA, Wassif KT, Bayomi H, Abdou SM.   +3 more
europepmc   +2 more sources

Construction Method of Parallel Corpus for Minority Language Machine Translation [PDF]

Jisuanji kexue, 2022
The training performance of neural machine translation depends heavily on the scale and quality of parallel corpus.Unlike some common languages,the construction of high-quality parallel corpora between Chinese and minority languages has been lagging.The ...
LIU Yan, XIONG De-yi
doaj   +1 more source

Word Alignment by Fine-tuning Embeddings on Parallel Corpora [PDF]

Conference of the European Chapter of the Association for Computational Linguistics, 2021
Word alignment over parallel corpora has a wide variety of applications, including learning translation lexicons, cross-lingual transfer of language processing tools, and automatic evaluation or analysis of translation outputs. The great majority of past
Zi-Yi Dou, Graham Neubig
semanticscholar   +1 more source

Samanantar: The Largest Publicly Available Parallel Corpora Collection for 11 Indic Languages [PDF]

Transactions of the Association for Computational Linguistics, 2021
We present Samanantar, the largest publicly available parallel corpora collection for Indic languages. The collection contains a total of 49.7 million sentence pairs between English and 11 Indic languages (from two language families).
Gowtham Ramesh, Sumanth Doddapaneni, Aravinth Bheemaraj, Mayank Jobanputra, AK Raghavan, Ajit Sharma, Sujit Sahoo, Harshita Diddee, J. Mahalakshmi, Divyanshu Kakwani, Navneet Kumar, A. Pradeep, K. Deepak, Vivek Raghavan, Anoop Kunchukuttan, Pratyush Kumar, Mitesh Khapra   +16 more
semanticscholar   +1 more source

Learning languages from parallel corpora

Slovenščina 2.0: Empirične, aplikativne in interdisciplinarne raziskave, 2022
This work describes a blueprint for an application that generates language learning exercises from parallel corpora. Word alignment and parallel structures allow for the automatic assessment of sentence pairs in the source and target languages, while ...
Johannes Graën
doaj   +1 more source

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

IEEE 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