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jump to navigation daniele pighin . net stale news about myself main menu research publications software teaching search contacts tikz-dependency submitted by daniele on 2011, november 27 - 20:40 english research software tikz-dependency allows you to draw dependency graphs in latex documents with little or no effort. it also comes with a lot of styling facilities, to let you personalize the look and feel of the graphs at your liking. main features: intuitive syntax to draw dependency graphs directly in latex high-level interface to define the look-and-feel of the graphs based on pgf/tikz convenient macros to enrich the graphs with arbitrary tikz elements you can download it directly from ctan , but the most up-to-date version is more likely to be found on sourceforge . please, do not hesitate to send me feedback, bug reports or feature requests! read more flink - a framework for the linearization of kernel functions submitted by daniele on 2011, august 23 - 21:57 english research software flink stands for “a framework for the linearization of kernel functions”. the software has been developed as part of my phd to support our research on the linearization of kernel functions, whose main results so far are published in the following papers authored by me with my co-advisor alessandro moschitti : on reverse feature engineering of syntactic tree kernels (conll 2010, [1] ) reverse engineering of tree kernel feature spaces (emnlp 2009, [2] ) efficient linearization of tree kernel functions (conll 2009, [3] ) (my thesis contains more in-depth information, but i didn’t make it public yet because i am still fixing things here and there). although it could possibly be estended to support a large variety of kernel functions, at the moment the framework only supports the syntactic tree kernel [collins and duffy, 2001] and the partial tree kernel [moschitti, 2006]. svm-light-tk by alessandro moschitti is used for learning and classification in tree kernel spaces. for more information about the linearization process, please refer to the aforementioned papers. more details, as well as comprehensive documentation of the user interface and the programmer api can be found here . flink is distributed under a double licensing scheme. for personal, teaching or research uses, the software is available under the gnu lesser gpl (lgpl) v.3 license. the text of the license is available at http://www.fsf.org/licensing/licenses/lgpl.html . if you use this software for research, please consider referencing these papers [1] , [2] , [3] in your publications. please note that research uses do not include those involving the development of technology to be employed for commercial or any other kind of revenue purposes. these include selling, releasing, or providing commercial services based on the software. for any other uses, the software is released under a commercial license. the terms of the license are defined on a per-request basis. you can contact me by email for more information. follow this link to download the latest version of the software. references on reverse feature engineering of syntactic tree kernels , pighin, daniele , and moschitti alessandro , conference on natural language learning (conll-2010), 08/2010, uppsala, sweden, (2010) reverse engineering of tree kernel feature spaces , pighin, daniele , and moschitti alessandro , emnlp'09: empirical methods of natural language processing, 08/2009, singapore, (2009) efficient linearization of tree kernel functions , pighin, daniele , and moschitti alessandro , conll'09: thirteenth conference on computational natural language learning, 06/2009, boulder, co, usa, (2009) read more openmt-2 workshop on using linguistic information for hybrid machine translation - first call for papers submitted by daniele on 2011, may 12 - 12:44 english research friday, november 18, 2011. barcelona, spain. http://ixa2.si.ehu.es/lihmt2011 background akin to the openmt workshop on mixing approaches to machine translation in 2008 (http://ixa2.si.ehu.es/matmt-2008), the aim of the openmt-2 workshop on using linguistic information for hybrid machine translation (hmt) is to promote corpus-based methods and technologies that combine resources and algorithms from the three general approaches to mt: rule-based (rbmt), example-based (ebmt) and statistical (smt). the boundaries between these three approaches are becoming narrower: string based smt models are being augmented with morphological, syntactic or semantic information. rbmt systems are using parallel corpora to improve their results by enriching their lexicons and grammars and creating new methods for disambiguation, previous projects have shown that benefits can be accrued by simple combination of mt systems created using different mt approaches. at the same time, data-driven machine translation (ebmt and smt) is nowadays prevalent within the mt research community and translation results obtained with these approaches have now reached a reasonably useful level of quality, especially when the target language is english. but such data-driven mt systems base their knowledge on bilingual aligned corpora, and the accuracy of their output depends strongly on the quality and the size of that corpora. large and reliable bilingual corpora are unavailable for many language pairs. in addition, translating into a morphologically rich target language makes the training of data-driven systems a lot more difficult. workshop programme the one-day workshop is being organised as part of the dissemination effort of the openmt-2 project, a spanish government funded, three-year, multisite research effort addressing, on the one hand, approaches to integrating structural information (morphological, syntactic and semantic) into open-source smt and, on the other, to developing novel automatic mt evaluation using linguistically motivated metrics. thus, the central issues to be addressed during the workshop include: methods and techniques for integrating structural information (syntactic and semantic) into hmt, methods and techniques for handling morphologically rich languages (e.g. basque) within hmt, alternative approaches to automatic mt evaluation relying on linguistic criteria. the programme will include three invited plenary talks, each addressing one of the central issues above, and the presentation of a number of refereed contributions on related topics. the invited speakers include: lucia specia (university of wolverhampton, uk), ondrej bojar (charles university, czech republic), tba (tba). the workshop will conclude with a brief panel discussion summarising the results of the presentations as they impact the central issues. topics of interest we are particularly interested in papers describing research and development in the following areas: methods to compare and combine translation-outputs obtained from different mt systems, methods for dealing with languages with rich morphology within data-driven approaches, approaches to developing morphologically, syntactically or semantically augmented smt models, new automatic (or manual) mt evaluation methods based on linguistically motivated metrics, descriptions of open-source or free language resources that are available for developing hybrid mt systems. all contributions will be published in the workshop proceedings. important dates paper submission deadline: sept. 9, 2011, notification of acceptance: oct. 7, 2011, final version of paper: oct 21, 2011, workshop: nov 18, 2011. submissions papers should be in english and up to a maximum of 8 pages long. please follow the acl hlt 2011 formatting requirements for long papers found at: http://www.acl2011.org/call.shtml to submit contributions, please follow the instructions at the easychair conference management system submission website at: http://www.easychair.org/conferences/?conf=lihmt2011 . the deadline for submission is september 9, 2011. the contributions will undergo a double-blind review by members of the

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