bluuebunny/crossref_metadata_2025_split huggingface dataset:
Maintaining Sentiment Polarity in Translation of User-Generated Content
Authors: Lohar Pintu , Afli Haithem , Way Andy 
Published: June 2017

Abstract
The advent of social media has shaken the very foundations of how we share information, with Twitter, Facebook, and Linkedin among many well-known social networking platforms that facilitate information generation and distribution. However, the maximum 140-character restriction in Twitter encourages users to (sometimes deliberately) write somewhat informally in most cases. As a result, machine translation (MT) of user-generated content (UGC) becomes much more difficult for such noisy texts. In addition to translation quality being affected, this phenomenon may also negatively impact sentiment preservation in the translation process. That is, a sentence with positive sentiment in the source language may be translated into a sentence with negative or neutral sentiment in the target language. In this paper, we analyse both sentiment preservation and MT quality per se in the context of UGC, focusing especially on whether sentiment classification helps improve sentiment preservation in MT of UGC. We build four different experimental setups for tweet translation (i) using a single MT model trained on the whole Twitter parallel corpus, (ii) using multiple MT models based on sentiment classification, (iii) using MT models including additional out-of-domain data, and (iv) adding MT models based on the phrase-table fill-up method to accompany the sentiment translation models with an aim of improving MT quality and at the same time maintaining sentiment polarity preservation. Our empirical evaluation shows that despite a slight deterioration in MT quality, our system significantly outperforms the Baseline MT system (without using sentiment classification) in terms of sentiment preservation. We also demonstrate that using an MT engine that conveys a sentiment different from that of the UGC can even worsen both the translation quality and sentiment preservation.
Using Word Embeddings to Enforce Document-Level Lexical Consistency in Machine Translation
Authors: Garcia Eva Martínez , Creus Carles , España-Bonet Cristina , Màrquez Lluís 
Published: June 2017

Abstract
We integrate new mechanisms in a document-level machine translation decoder to improve the lexical consistency of document translations. First, we develop a document-level feature designed to score the lexical consistency of a translation. This feature, which applies to words that have been translated into different forms within the document, uses word embeddings to measure the adequacy of each word translation given its context. Second, we extend the decoder with a new stochastic mechanism that, at translation time, allows to introduce changes in the translation oriented to improve its lexical consistency. We evaluate our system on English–Spanish document translation, and we conduct automatic and manual assessments of its quality. The automatic evaluation metrics, applied mainly at sentence level, do not reflect significant variations. On the contrary, the manual evaluation shows that the system dealing with lexical consistency is preferred over both a standard sentence-level and a standard document-level phrase-based MT systems.
Continuous Learning from Human Post-Edits for Neural Machine Translation
Authors: Turchi Marco , Negri Matteo , Farajian M. Amin , Federico Marcello 
Published: June 2017

Abstract
Improving machine translation (MT) by learning from human post-edits is a powerful solution that is still unexplored in the neural machine translation (NMT) framework. Also in this scenario, effective techniques for the continuous tuning of an existing model to a stream of manual corrections would have several advantages over current batch methods. First, they would make it possible to adapt systems at run time to new users/domains; second, this would happen at a lower computational cost compared to NMT retraining from scratch or in batch mode. To attack the problem, we explore several online learning strategies to stepwise fine-tune an existing model to the incoming post-edits. Our evaluation on data from two language pairs and different target domains shows significant improvements over the use of static models.
Optimizing Tokenization Choice for Machine Translation across Multiple Target Languages
Authors: Zalmout Nasser , Habash Nizar 
Published: June 2017

AbstractTokenization is very helpful for Statistical Machine Translation (SMT), especially when translating from morphologically rich languages. Typically, a single tokenization scheme is applied to the entire source-language text and regardless of the target language. In this paper, we evaluate the hypothesis that SMT performance may benefit from different tokenization schemes for different words within the same text, and also for different target languages. We apply this approach to Arabic as a source language, with five target languages of varying morphological complexity: English, French, Spanish, Russian and Chinese. Our results show that different target languages indeed require different source-language schemes; and a context-variable tokenization scheme can outperform a context-constant scheme with a statistically significant performance enhancement of about 1.4 BLEU points.
Neural Networks Classifier for Data Selection in Statistical Machine Translation
Authors: Peris Álvaro , Chinea-Ríos Mara , Casacuberta Francisco 
Published: June 2017

AbstractCorpora are precious resources, as they allow for a proper estimation of statistical machine translation models. Data selection is a variant of the domain adaptation field, aimed to extract those sentences from an out-of-domain corpus that are the most useful to translate a different target domain. We address the data selection problem in statistical machine translation as a classification task. We present a new method, based on neural networks, able to deal with monolingual and bilingual corpora. Empirical results show that our data selection method provides slightly better translation quality, compared to a state-of-the-art method (cross-entropy), requiring substantially less data. Moreover, the results obtained are coherent across different language pairs, demonstrating the robustness of our proposal.
Historical Documents Modernization
Authors: Domingo Miguel , Chinea-Rios Mara , Casacuberta Francisco 
Published: June 2017

AbstractHistorical documents are mostly accessible to scholars specialized in the period in which the document originated. In order to increase their accessibility to a broader audience and help in the preservation of the cultural heritage, we propose a method to modernized these documents. This method is based in statistical machine translation, and aims at translating historical documents into a modern version of their original language. We tested this method in two different scenarios, obtaining very encouraging results.
Finite-State Back-Transliteration for Marathi
Authors: Ravishankar Vinit 
Published: June 2017

AbstractIn this paper, we describe the creation of an open-source, finite-state based system for back-transliteration of Latin text in the Indian language Marathi. We outline the advantages of our system and compare it to other existing systems, evaluate its recall, and evaluate the coverage of an open-source morphological analyser on our back-transliterated corpus.
Improving Machine Translation through Linked Data
Authors: Srivastava Ankit , Rehm Georg , Sasaki Felix 
Published: June 2017

Abstract
With the ever increasing availability of linked multilingual lexical resources, there is a renewed interest in extending Natural Language Processing (NLP) applications so that they can make use of the vast set of lexical knowledge bases available in the Semantic Web. In the case of Machine Translation, MT systems can potentially benefit from such a resource. Unknown words and ambiguous translations are among the most common sources of error. In this paper, we attempt to minimise these types of errors by interfacing Statistical Machine Translation (SMT) models with Linked Open Data (LOD) resources such as DBpedia and BabelNet. We perform several experiments based on the SMT system Moses and evaluate multiple strategies for exploiting knowledge from multilingual linked data in automatically translating named entities. We conclude with an analysis of best practices for multilingual linked data sets in order to optimise their benefit to multilingual and cross-lingual applications.
Current Status and Prospects for Organic Agriculture in Poland
Authors: Jezierska-Thöle Aleksandra , Gwiaździńska-Goraj Marta , Wiśniewski Łukasz 
Published: June 2017

AbstractOrganic farming is part of a sustainable development model; at the same time it is becoming a prerequisite for the multifunctional development of rural areas. The main aim of this study is to identify the state and analyse changes in the development of organic agriculture in Poland as well as to present the possibilities for its development. The time horizon of the study covers the years 2003 to 2015. The basis of the research was an analysis of the literature, the Report of the Chief Inspectorate of Trade Quality of Agriculture and Food (IJHARS), and national empirical research; it also includes an analysis of the results of surveys carried out on organic farms in the summer of 2016, as well as our own observations. The study showed that in the years 2003-2015 Poland saw a rapid increase in the number and area of organic farms due in part to the introduction of EU subsidies. Spatial analysis of the proportions of farms by voivodeship shows that in 2015 most were recorded in Warmia-Mazuria, Podlasie and West Pomerania. Similar to the increase in the number of organic farms, the years 2003-2015 saw an increased area of organic farmland. Poland is second in the world in terms of growth in the area of organic farms. In the years 2003-2014 the average size of an organic farm remained at about 25 ha and was higher than the average size of conventional farms (10 ha). In 2014 the crop structure was dominated by fodder plants (35.8%), and meadows and pastures (31.5%). In terms of livestock production, cattle and horses had the biggest share.
Productivism and Post-Productivism in the Olive Groves of Southern Spain
Authors: Martínez José Domingo Sánchez , Almonacid Antonio Garrido 
Published: June 2017

Abstract
This work examines changes in the cultivation of olive groves in the region of Andalusia since the accession of Spain to the European Common Market (1986). The first phase is marked by the triumph of productivism in which some of the basic elements of this model (specialisation and intensification) are overwhelming, according to the statistical sources used for this research, although the behaviour in terms of corporate concentration can be considered unique. Also notable, as we will explain later, are other less desirable effects of the process, which can currently be considered environmentally unsustainable. As the weaknesses and contradictions of the model have become evident, in the recent years - as a result of the new stimuli provided by the Common Agricultural Policy - more attention is paid to the opportunities offered by rural development. For the moment, the results of this approach have been limited, although the 2015-2020 planning period could be decisive for its reorientation.
Changes in the Spatial Organisation of Fruit Growing at the Beginning of the 21St Century: The Case of Grójec Poviat (Mazovia Voivodeship, Poland)
Authors: Wójcik Marcin , Traczyk Anna 
Published: June 2017

AbstractThis paper is meant to determine trends in changes in the organisation of fruit production at the beginning of the 21st century. It focuses on the determination of those trends as well as their circumstances. The analysis of changes in the organisation of fruit production was made using Grójec poviat as an example. The accession of Poland to the European Union resulted in the intensification of processes of specialisation and concentration in agriculture, due to which the area occupied by orchards started to grow systematically. With the growing area and the intensification of fruit crops, quantities of fruits produced also increased. Currently, Poland is one of the biggest fruit manufacturers in Europe, with Grójec poviat being the biggest producer in Poland.
Influence of cooling mode in relation to casting and extrusion parameters on mechanical properties of AA6082
Authors: Malej Simon , Terčelj Milan , Peruš Iztok , Kugler Goran 
Published: June 2017

Abstract
In this study, conditional average estimator neural networks (CAE NNs) were used for an analysis of the common influences of the cooling mode in relation to the ram speed, extrusion ratio, casting speed and casting temperature on the yield strength and the elongation of an extruded profile made from aluminium alloy (AA)6082. The obtained results from the analysis revealed very complex relationships between these parameters. In order to maximise the values for the yield strength and the elongation, the values for the ram speed, extrusion ratio, casting speed and casting temperature should be optimised in relation to the mode of cooling.
Basis and Statistical Design of the Passive HIV-1 Antibody Mediated Prevention (AMP) Test-of-Concept Efficacy Trials
Authors: Gilbert Peter B , Juraska Michal , deCamp Allan C. , Karuna Shelly , Edupuganti Srilatha , Mgodi Nyaradzo , Donnell Deborah J , Bentley Carter , Sista Nirupama , Andrew Philip , Isaacs Abby , Huang Yunda , Zhang Lily , Capparelli Edmund , Kochar Nidhi , Wang Jing , Eshleman Susan H , Mayer Kenneth H , Magaret Craig A , Hural John , Kublin James G , Gray Glenda , Montefiori David C , Gomez Margarita M , Burns David N , McElrath Julie , Ledgerwood Julie , Graham Barney S , Mascola John R , Cohen Myron , Corey Lawrence 
Published: June 2017

Abstract

Background
Anti-HIV-1 broadly neutralizing antibodies (bnAbs) have been developed as potential agents for prevention of HIV-1 infection. The HIV Vaccine Trials Network and the HIV Prevention Trials Network are conducting the Antibody Mediated Prevention (AMP) trials to assess whether, and how, intravenous infusion of the anti-CD4 binding site bnAb, VRC01, prevents HIV-1 infection. These are the first test-of-concept studies to assess HIV-1 bnAb prevention efficacy in humans.

Methods
The AMP trials are two parallel phase 2b HIV-1 prevention efficacy trials conducted in two cohorts: 2700 HIV-uninfected men and transgender persons who have sex with men in the United States, Peru, Brazil, and Switzerland; and 1500 HIV-uninfected sexually active women in seven countries in sub-Saharan Africa. Participants are randomized 1:1:1 to receive an intravenous infusion of 10 mg/kg VRC01, 30 mg/kg VRC01, or a control preparation every 8 weeks for a total of 10 infusions. Each trial is designed (1) to assess overall prevention efficacy (PE) pooled over the two VRC01 dose groups vs. control and (2) to assess VRC01 dose and laboratory markers as correlates of protection (CoPs) against overall and genotype- and phenotype-specific infection.

Results
Each AMP trial is designed to have 90 % power to detect PE > 0 % if PE is ≥ 60 %. The AMP trials are also designed to identify VRC01 properties (i. e., concentration and effector functions) that correlate with protection and to provide insight into mechanistic CoPs. CoPs are assessed using data from breakthrough HIV-1 infections, including genetic sequences and sensitivities to VRC01-mediated neutralization and Fc effector functions.

Conclusions
The AMP trials test whether VRC01 can prevent HIV-1 infection in two study populations. If affirmative, they will provide information for estimating the optimal dosage of VRC01 (or subsequent derivatives) and identify threshold levels of neutralization and Fc effector functions associated with high-level protection, setting a benchmark for future vaccine evaluation and constituting a bridge to other bnAb approaches for HIV-1 prevention.
1. A genetic linkage map of Pinus massoniana based on SRAP, SSR and ESTP markers
Authors: Chen Wenxia , Cao Mu , Wang Yuanxiu , Zhou Zhichun , Xu Li-An 
Published: June 2017

AbstractPinus massoniana (masson pine) is the most important native pine in southern China. High-density genetic maps have not been constructed for the species. In this study, a genetic linkage map with 251 markers (47 SSRs, 23 ESTPs and 181 SRAPs) was constructed using a F1 progeny mapping population derived from controlled pollination of two parents of different provenances. At LOD 7.0, a total of 17 linkage groups were constructed with twelve groups having nine or more markers and five other groups of two to four markers each. The total map length was 1,956 cM with an average of 8.4 cM among individual loci. The current linkage map represented 93% of the estimated genome length of 2,114 cM for masson pine. Such linkage map are useful for future genomic studies of masson pine including comparative mapping in Pinaceae and quantitative trait loci (QTL) mapping for economically important traits.
Hybridizing ability and heterosis between Eucalyptus urophylla and E. tereticornis for growth and wood density over two environments
Authors: Weng Q. , He X. , Li F. , Li M. , Yu X. , Shi J. , Gan S. 
Published: June 2017

AbstractInterspecific hybrids of Eucalyptus urophylla × E. tereticornis in a factorial-mating design were used to analyze general hybridizing ability (GHA), specific hybridizing ability (SHA) and heterosis for height (H; 0.5, 1.5, 2.5, 4 and 7.5 years in age), diameter at breast height (D; ages 1.5, 2.5, 4 and 7.5) and wood density (WD; age 7.5) across two environments. The GHA variances were significant for all traits, and those of the SHA were also significant for most of the traits but with less magnitude, indicating the greater importance of additive gene effects in explaining the phenotypic variation among hybrids. The narrow-sense heritability (h2) and dominance (d2) estimates with hybrid growth and wood density ranged between 0.02±0.05 (d2in D7.5) and 0.23±0.10 (d2in H1.5) over the different ages, suggesting weak additive and dominant effects on these traits. Additive genetic correlations of growth with wood density were weak at age 7.5. Female general combining ability (GCA) based on maternal open-pollinated families was not necessarily a good indicator of GHA as their correlations were 0.48 (P=0.17), 0.65 (P=0.04) and -0.56 (P=0.10) for H7.5, D7.5and WD7.5, respectively. A great proportion of hybrids showed positive female-parent heterosis (FPH) at age 7.5, with the highest relative FPH of 47.2% in D7.5. This study demonstrates the heterosis between inter-sectional species and could have implications for E. urophylla × E. tereticornis hybrid breeding.
Molecular evolution of drought tolerance and wood strength related candidate genes in loblolly pine (Pinus taeda L.)
Authors: Koralewski T. E. , Brooks J. E. , Krutovsky Konstantin V. 
Published: June 2017

AbstractLoblolly pine (Pinus taeda L.) is an intensely studied species that has become a model system for conifers. It is one of the most important commercial crops in the southeastern United States and grows across a vast territory. Due to exposure to this current diverse environment and the fluctuating climatic conditions of the past, it has likely accumulated substantial variation in adaptive trait and wood strength related genes. We merged a set of newly collected and previously published genomic DNA sequence data and analyzed them for departures from neutrality in 32 drought tolerance and wood strength related candidate genes using neutrality tests, such as Tajima’s D, HKA, MK and nonsynonymous to synonymous substitutions ratio (Z-test). Three other major Southern pines closely related to P. taeda (Pinus echinata Mill., P. elliottii Engelm., and P. palustris Mill.) were used as outgroups in interspecific tests. In three loci (4-coumarate: CoA ligase, putative cell-wall protein and trans-cinnamate 4-hydroxylase 2) neutrality was rejected by both intra- and interspecific tests, consistent with purifying selection. Neutrality was also rejected in several other loci (alpha-tubulin, arabinogalactan 4, arabinogalactan 6, cinnamate 4-hydroxylase 1, cinnamoyl CoA reductase, cinnamyl alcohol dehydrogenase, caffeoyl CoA O-methyltransferase 1, early response to drought 3, glycine hydroxymethyltransferase, ABI1 protein phosphatase 2C-like, putative wall-associated protein kinase, and unknown gene ug_2-498); however, these results are difficult to interpret because only one of the tests proved significant. This study contributes to the ongoing discussion about natural selection in putative adaptive genes in loblolly pine. However, unambiguous interpretation of the results often remains problematic.
Hybridization and Genetic Diversity in Wild Apple (Malus sylvestris (L.) MILL.) from Various Regions in Germany and from Luxembourg
Authors: Wagner Iris , Maurer W.D. , Lemmen P. , Schmitt H.P. , Wagner M. , Binder M. , Patzak P. 
Published: June 2017

AbstractMalus sylvestris is the only apple species native to Central Europe. Its genetic integrity may be threatened by hybridization with the cultivated apple (Malus × domestica). A total of 883 genotypes, 477 putative wild apples in Germany and Luxembourg and 406 old to modern cultivars has been investigated. Wild apples growing in Germany originated from Rhineland-Palatinate, North Rhine-Westphalia, Saxony-Anhalt and Saxony. The genetic structure was analysed at ten isozyme marker loci, and morphology was studied by fruit size, leaf pubescence, and a complex morphological description performed in advance. A model-based cluster analysis applied to all nuclear data resulted in two clearly differentiated gene pools for putative wild and cultivated apples with moderate proportions of admixture in the wild group on average (0.138 total, 0.111 German sample). At the individual level, the percentages of both hybrids and feral cultivars together ranged from 2.3% in Rhineland-Palatinate to 28.8% in Luxembourg. The intraspecific variability in fruit diameter ranged from 21 to 40 mm, and that in leaf pubescence in autumn ranged from score 0 to score 1. No single morphological trait of a specimen appeared to be sufficient for identification. Even the correspondence between the complex morphological and complex genetic determinations for individuals did not exceed 93% in pure wilds and 64% in hybrids. Genetic variation in pure wild apple is high (species level: P = 90%, A/L = 3.1, He = 0.369). Allelic differentiation & was 0.089, pairwise genetic distance (d0) ranged from 0.065 to 0.148 among five samples. Correspondence between genetic and geographic distance of populations was observed to a certain extent.
Short note: Development, characterization and cross-amplification of eight EST-derived microsatellites in Salix
Authors: He X. , Zheng J. , Serapiglia M. , Smart L. , Shi S. , Wang B. 
Published: June 2017

Abstract
A set of eight simple sequence repeat (SSR) markers were developed from 707 Salix expressed sequence tags (ESTs) deposited in GenBank. Each of the EST-SSR amplicons was identical to the original EST, with sequence identity 60.90-96.03% and presence of the expected repeat motifs. Of the eight EST-SSR loci, five were polymorphic among 14 individuals of S. eriocephala, with the number of alleles per locus (Na), observed heterozygosity (Ho), expected heterozygosity (He) and polymorphic information content (PIC) being 2-7 (mean 4.8), 0.29-0.85 (mean 0.65), 0.25-0.84 (mean 0.65) and 0.21-0.78 (mean 0.58), respectively. High rates of crossspecies/ genus amplification were also observed within fourteen different species. The primer sequences for the eight EST-SSRs have been deposited in the Probe database of GenBank (IDs Pr031820546 - Pr031820553). The EST-SSRs developed herein would be a valuable addition of functional markers for genetics and breeding applications in a wide range of Salix species.