An annotation scheme and gold standard for Dutch-English word alignment

The importance of sentence-aligned parallel corpora has been widely acknowledged. Reference corpora in which sub-sentential translational correspondences are indicated manually are more labour-intensive to create, and hence less wide-spread. Such manually created reference alignments - also called Gold Standards - have been used in research projects to develop or test automatic word alignment systems. In most translations, translational correspondences are rather complex; for example word-by-word correspondences can be found only for a limited number of words. A reference corpus in which those complex translational correspondences are aligned manually is therefore also a useful resource for the development of translation tools and for translation studies. In this paper, we describe how we created a Gold Standard for the Dutch-English language pair. We present the annotation scheme, annotation guidelines, annotation tool and inter-annotator results. To cover a wide range of syntactic and stylistic phenomena that emerge from different writing and translation styles, our Gold Standard data set contains texts from different text types. The Gold Standard will be publicly available as part of the Dutch Parallel Corpus

A Review of the Social Benefits of Joint Farming Ventures

working paperThis paper will review some of the main benefits arising from farmers’ working together, whether through Farm Partnerships or Share Farming arrangements. First, some of the general social benefits are overviewed, and then brief case-studies are presented of the specific benefits that have been experienced by farmers working together in the UK and Norway

Agriculture, Rural Development and Potential for a ‘Middle Agriculture’ in Ireland

Working PaperThis paper gives a brief overview of current farm viability in Ireland and summarises some of the main ‘barriers’ to farm families’ engagement in contemporary rural development programmes. Against this backdrop, the paper discusses the potential of a middle agriculture model for rural development. The capacity of such a model to address some of the economic, social and cultural predicaments of Irish family farms is outlined. The potential of the model is also discussed in terms of how it may respond to contemporary EC rural development policy priority objectives

The Rural Development Programme (2007-2013) and Farmer Innovation: A Review to Date and Look to the Future

working paperThis paper seeks to comment on farmer innovation in relation to the measures within the Rural Development Programme (2007-2013). Evidence is presented on the general extent of innovation among farmers and the specific uptake of measures within Axes 1, 2 and 3 of the RDP. Changes to, and curtailment of, measures within the various Axes since the inception of the RDP until April 2010 are identified. Following a discussion of some of the internal and external factors that promote or hinder farmer innovation and participation with the Axes, suggestions are made about how to increase farmer engagement with the RDP. It is concluded that for the remainder of the RDP, certain bureaucratic barriers, governance issues, resource issues, training needs, and research gaps must be addressed if farm households are to innovate to the extent that they are expected to as a result of the RD

The Potential of an Enhanced Cooperation Measure in the EAFRD (2014-2020): the case of Ireland

This report was funded by the Department of Agriculture, Food and the Marine (DAFM) through the National Rural Network (February-May, 2012).The current Proposal for a Regulation of the European Parliament and of the Council on support for Rural Development by the European Agricultural Fund for Rural Development (EAFRD) includes Article (36) Cooperation that is potentially instrumental for realising the objectives of FOOD HARVEST 20204. The purpose of this report is to assess the scope and potential of Article 36 in the context of Irish agriculture and its findings have four key aspects. First, the main areas of confluence between Article 36 and primary policy objectives as set out in Food Harvest 2020 are identified. Second, a range of cooperation categories and types relevant to Article 36, many of which are operational in Ireland, are profiled. Third, drawing from case-studies of these co-operation types5, the operational characteristics of each type are presented, focusing on compatibility with Article 36. Possible supports that would encourage and assist the formation and operation of the cooperation types on a broad scale into the future, and also any possible constraints that would prevent success, are indicated. Fourth, a brief discussion of some key implementation considerations arising from the analysis overall is presented.Department of Agriculture, Food and the Marin

The Potential for Joint Farming Ventures in Irish Agriculture: A Sociological Review

peer-reviewedJoint farming ventures (JFVs) are promoted within Irish and EU policy discourses as strategies that can enhance the economic and social sustainability of family farming. Research has shown that JFVs, including arrangements such as farm partnerships, contract rearing and share farming, can potentially enable farmers to work cooperatively to improve farm productivity, reduce working hours, facilitate succession, develop skills and improve relationships within the farm household. In the context of increasing policy promotion of JFVs, there is a need to make some attempt at understanding the macro socio-cultural disposition of family farming to cooperation. Reviewing sociological studies of agricultural cooperation and taking a specific focus on the Irish contextual backdrop, this paper draws the reader’s attention to the importance of historical legacy, pragmatic economic and social concerns, communicative norms, inter-personal relationships, individualism and, policy and extension stimuli, all of which shape farmers’ dispositions to cooperation and to JFVs specifically.This work was funded by the Department of Agriculture, Food and the Marine, Ireland under the Research Stimulus Fund (RSF), Project Number: 11/S/151

Literary machine translation under the magnifying glass : assessing the quality of an NMT-translated detective novel on document level

Several studies (covering many language pairs and translation tasks) have demonstrated that translation quality has improved enormously since the emergence of neural machine translation systems. This raises the question whether such systems are able to produce high-quality translations for more creative text types such as literature and whether they are able to generate coherent translations on document level. Our study aimed to investigate these two questions by carrying out a document-level evaluation of the raw NMT output of an entire novel. We translated Agatha Christie's novel The Mysterious Affair at Styles with Google's NMT system from English into Dutch and annotated it in two steps: first all fluency errors, then all accuracy errors. We report on the overall quality, determine the remaining issues, compare the most frequent error types to those in general-domain MT, and investigate whether any accuracy and fluency errors co-occur regularly. Additionally, we assess the inter-annotator agreement on the first chapter of the novel

Two sides of the same coin : assessing translation quality in two steps through adequacy and acceptability error analysis

We propose facilitating the error annotation task of translation quality assessment by introducing an annotation process which consists of two separate steps that are similar to the ones required in the European Standard for translation companies EN 15038: an error analysis for errors relating to acceptability (where the target text as a whole is taken into account, as well as the target text in context), and one for errors relating to adequacy (where source segments are compared to target segments). We present a fine-grained error taxonomy suitable for a diagnostic and comparative analysis of machine translated texts, post-edited texts and human translations. Categories missing in existing metrics have been added, such as lexical issues, coherence issues, and text type-specific issues