200 research outputs found
The JRC-Acquis: A multilingual aligned parallel corpus with 20+ languages
We present a new, unique and freely available parallel corpus containing
European Union (EU) documents of mostly legal nature. It is available in all 20
official EUanguages, with additional documents being available in the languages
of the EU candidate countries. The corpus consists of almost 8,000 documents
per language, with an average size of nearly 9 million words per language.
Pair-wise paragraph alignment information produced by two different aligners
(Vanilla and HunAlign) is available for all 190+ language pair combinations.
Most texts have been manually classified according to the EUROVOC subject
domains so that the collection can also be used to train and test multi-label
classification algorithms and keyword-assignment software. The corpus is
encoded in XML, according to the Text Encoding Initiative Guidelines. Due to
the large number of parallel texts in many languages, the JRC-Acquis is
particularly suitable to carry out all types of cross-language research, as
well as to test and benchmark text analysis software across different languages
(for instance for alignment, sentence splitting and term extraction).Comment: A multilingual textual resource with meta-data freely available for
download at http://langtech.jrc.it/JRC-Acquis.htm
On the use of Machine Learning and Deep Learning for Text Similarity and Categorization and its Application to Troubleshooting Automation
Troubleshooting is a labor-intensive task that includes repetitive solutions to similar problems. This task can be partially or fully automated using text-similarity matching to find previous solutions, lowering the workload of technicians. We develop a systematic literature review to identify the best approaches to solve the problem of troubleshooting automation and classify incidents effectively. We identify promising approaches and point in the direction of a comprehensive set of solutions that could be employed in solving the troubleshooting automation problem
iCLIP - Transcriptome-wide Mapping of Protein-RNA Interactions with Individual Nucleotide Resolution
The unique composition and spatial arrangement of RNA-binding proteins (RBPs) on a transcript guide the diverse aspects of post-transcriptional regulation1. Therefore, an essential step towards understanding transcript regulation at the molecular level is to gain positional information on the binding sites of RBPs2
Efficiency and response of conilon coffee genotypes to nitrogen supply
The objective of the study was to differentiate genotypes with higher efficiency and responsiveness to nitrogen supply, to understand how the nitrogen supply can impact the dry matter allocation and the accumulation of this nutrient in the different plant compartments of genotypes of conilon coffee, cultivated under contrasting conditions of nitrogen availability in the soil. The plants were cultivated during 150 days in pots containing 10 kg of soil, in greenhouse. The experiment was set up in a 13×2 factorial scheme, following a completely randomized design (CRD) with three replications. The factors were: 13 genotypes and two levels of nitrogen fertilization (0 and 100% of the N recommended level). The N supply increased between 70 and 210% of the total dry matter and between 360 and 680% of the concentration of N content in leaves of the genotypes of conilon coffee. It was possible to observe that the expression of the genotypes was modulated by the availability of N in the soil, since they presented different behaviors in the studied environments (with 0 or 100% of N supply in the soil). The genotypes CV-03, CV-07 and CV-08 were classified as non-efficient and non-responsive, while the genotypes CV- 01, CV-04 and CV-09 of conilon coffee were classified as efficient and responsive.Keywords: Alpha parameter, Coffea canephora (Pierre ex A. Froehner), mineral nutritio
Magnesium-Nickel alloy for hydrogen storage produced by melt spinning followed by cold rolling
Severe plastic deformation routes (SPD) have been shown to be attractive for short time preparation of magnesium alloys for hydrogen storage, generating refined microstructures and interesting hydrogen storage properties when compared to the same materials processed by high-energy ball milling (HEBM), but with the benefit of higher air resistance. In this study, we present results of a new processing route for Mg alloys for hydrogen storage: rapid solidification followed by cold work. A Mg97Ni3 alloy was processed by melt spinning (MS) and by extensive cold rolling (CR). Submitting Mg97Ni3 ribbons between steel plates to cold rolling has shown to be a viable procedure, producing a thin cold welded foil, with little material waste. The as-processed material presents a high level of [002] fiber texture, a sub microcrystalline grain structure with a high density of defects, and also a fine dispersion of Mg2Ni nanoparticles. This refined microstructure allied to the developed texture resulted in enhanced activation and H-sorption kinetics properties.81381
Early selection efficiency for recommendation of Eucalyptus sp.
This paper aims to estimate genetic and phenotypical parameters to assess the viability of early selection in progeny tests of Eucalyptus sp. We analyzed data from experiments conducted in the state of Minas Gerais, Brazil. The evaluated traits were diameter at breast height and plant height in 482 progenies of full sibs under randomized block design, into nine experiments: four of which were assessed at progenies mean level, and five assessed at individuals mean level. It were evaluated the predicted gains with combined selection index under 5, 10 and 20% of selection; the coincidence among selected families in juvenile and adult ages, and the efficiency of early selection. Results indicated that the procedures were efficient in most of the scenarios, and the gains comparable to the direct selection on tree harvest age
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