This paper presents the machine translation systems submitted by the Abu-MaTran project for the Finnish-English language pair at the WMT 2015 translation task. We tackle the lack of resources and complex morphology of...
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In this paper, we present three approaches to automatic ranking of relevant verb phrases extracted from historical text. These approaches are based on conditional probability, log likelihood ratio, and bagof- words cl...
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We offer a critical review of the current state of opinion role extraction involving opinion verbs. We argue that neither the currently available lexical resources nor the manually annotated text corpora are sufficien...
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In this paper, we enhance the traditional confusion network system combination approach with an additional model trained by a neural network. This work is motivated by the fact that the commonly used binary system vot...
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We propose a novel extended translation model (ETM) to counteract some problems in phrase-based translation: The lack of translation context when using singleword phrases and uncaptured dependencies beyond phrase boun...
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Human-designed sub-structures are required by most of the syntax-based machine translation evaluation metrics. In this paper, we propose a novel evaluation metric based on dependency parsing model, which does not need...
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Navigational queries are among the most natural query patterns for RDF data, but yet most existing RDF query languages fail to cover all the varieties inherent to its triplebased model, including SPARQL 1.1 and its de...
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This work explores the application of recurrent neural network (RNN) language and translation models during phrasebased decoding. Due to their use of unbounded context, the decoder integration of RNNs is more challeng...
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Contemporary sentiment analysis approaches rely heavily on lexicon basedmethods. This is mainly due to their simplicity, although the best empirical results can be achieved by more complex techniques. We introduce a ...
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We present a hierarchical statistical machine translation system which supports discontinuous constituents. It is based on synchronous linear context-free rewriting systems (SLCFRS), an extension to synchronous contex...
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