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IV. On Corpora Lutea [PDF]

open access: bronzeAbstracts of the Papers Printed in the Philosophical Transactions of the Royal Society of London
In this paper the author describes the origin, growth, use, and decay of the Corpora lutea. The ovarium, before puberty, is a loose, open texture, in which are a number of globular cells. After puberty, the Corpus luteum forms in the substance of the ovarium. In the cow it appears, when magnified, as a mass of convolutions, somewhat like the brain. Sir
Everard Home
openalex   +5 more sources

Turbinated Corpora Cavernosa [PDF]

open access: greenThe Boston Medical and Surgical Journal, 1875
n ...
Henry J. Bigelow
openalex   +5 more sources

Learner Corpora

open access: yesA Practical Handbook of Corpus Linguistics, 2020
This chapter deals with learner corpora, that is, collections of (spoken and/or written) texts produced by learners of a language. It describes their main characteristics, with particular emphasis on those that are distinctive of learner corpora. Special types of corpora are introduced, such as longitudinal learner corpora or local learner corpora. The
Gaëtanelle Gilquin
openaire   +3 more sources

Corpora

open access: yesRoutledge Encyclopedia of Translation Studies, 2019
A corpus is a collection of texts in electronic form that are the object of literary or linguistic study. Today, such collections normally include vast quantities of texts (hundreds of millions of words), that can be searched by means of fast and flexible dedicated software applications known as corpus query tools, corpus analysis tools, or ...
Silvia Bernardini, Dorothy Kenny
openaire   +3 more sources

Corpora and Translation. Are Corpora Still an Academic Luxury?

open access: yesVertimo Studijos, 2019
This paper aims to consider the impact corpora have made on language studies and to touch upon the interface between corpora use and translator training/practice. A small-scale survey conducted among the translation trainers/professionals and translation
Jonė Grigaliūnienė
doaj   +3 more sources

The RefinedWeb Dataset for Falcon LLM: Outperforming Curated Corpora with Web Data, and Web Data Only [PDF]

open access: yesarXiv.org, 2023
Large language models are commonly trained on a mixture of filtered web data and curated high-quality corpora, such as social media conversations, books, or technical papers.
Guilherme Penedo   +8 more
semanticscholar   +1 more source

Documenting Large Webtext Corpora: A Case Study on the Colossal Clean Crawled Corpus [PDF]

open access: yesConference on Empirical Methods in Natural Language Processing, 2021
Large language models have led to remarkable progress on many NLP tasks, and researchers are turning to ever-larger text corpora to train them. Some of the largest corpora available are made by scraping significant portions of the internet, and are ...
Jesse Dodge   +6 more
semanticscholar   +1 more source

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

open access: yesConference 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]

open access: yesTransactions 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   +16 more
semanticscholar   +1 more source

An Analysis of Negation in Natural Language Understanding Corpora [PDF]

open access: yesAnnual Meeting of the Association for Computational Linguistics, 2022
This paper analyzes negation in eight popular corpora spanning six natural language understanding tasks. We show that these corpora have few negations compared to general-purpose English, and that the few negations in them are often unimportant.
Md Mosharaf Hossain   +2 more
semanticscholar   +1 more source

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