[PDF] Top 20 Applying Morphology Generation Models to Machine Translation

... the translation tables and language model, and is likely to impact positively the performance of an MT system in terms of its ability to recover correct se- quences of stems in the ...Also, machine learn- ... See full document

... Statistical Machine Translation (SMT) approaches fails to handle the rich morphology when translating into morphologically rich ...based models and the phrase based models and the ... See full document

... learning, applying this technique to recurrent nets is a promising di- rection, which is researched in several previous ...Their models achieved better log-likelihood on image generation ...our ... See full document

... FAIRSEQ is an open-source sequence model- ing toolkit that allows researchers and devel- opers to train custom models for translation, summarization, language modeling, and other text generation ... See full document

... Pourdamghani et al. (2016) train their system us- ing a set of AMR-sentence pairs obtained by the aligner described in Pourdamghani et al. (2014). In order to decrease the sparsity of the AMR formal- ism caused by the ... See full document

... The transfer in this setting is usually implemented in the form of rewriting rules. For instance, in the Norwegian LOGON project (Oepen et al., 2004), the transfer rules were hand-written (Bond et al., 2005; Oepen et ... See full document

... a word-based MT system can produce a BLEU score that is higher than from either of the indi- vidual systems (de Gispert et al., 2009; Kurimo et al., 2009). With the DE-EN language pair, the improvement was statistically ... See full document

... This work has been supported by the Seventh Framework Programme for Research and Technological Development of the European Commission through the T4ME contract (grant agreement: 249119) as well as by Science Foundation ... See full document

... Globally, most of the generated prefixed ne- ologisms have been found in corpus, and most of the time with more than 5 occurrences. Unfound items are very useful, because they help to point out difficulties or ... See full document

... multiple translation models with multiple lan- guage models in ensemble ...by applying some of the tech- niques used in other system combination approaches such as consensus decoding, using ... See full document

... Both approaches differ from ours in that they store corpora in suffix arrays, one sub-corpus per worker, and serve raw counts. This implies that all work- ers need to be contacted for each n-gram request. In our ... See full document

... Neural machine translation (MT) models obtain state-of-the-art performance while maintaining a simple, end-to-end architec- ...these models learn about source and tar- get languages during the ... See full document

... phological generation given aligned sentence pairs, incorporating morpho-syntactic information from both the source and target ...posed models achieve substantially better accuracy than language ... See full document

... in generation, there are many previous ...our generation model as part of end-to-end English-Arabic SMT (El Kholy and Habash, ...Arabic morphology prediction component, ... See full document

... interactive machine translation (IMT) system (Foster et ...a translation model (TM) and a language model (LM) used jointly to produce pro- posals that are appropriate translations of source words and ... See full document

... Statistical Machine Translation was held at ACL 2007 in Prague, Czech Republic, ACL 2008, Columbus, Ohio, USA, EACL 2009 in Athens, Greece, ACL 2010 in Uppsala, Sweden, EMNLP 2011 in Edinburgh, Scotland, ... See full document

... Research in the field of machine translation (MT) aims to develop computer systems which are able to translate between languages automatically, with- out human intervention. However, the quality of the ... See full document

... online models com- pared to the batch retrained ...retrained models us- ing the sOEM method of incremental adaptation, we are able to align and adopt new data from the input stream orders of magnitude ... See full document

... (Yamada and Knight, 2002) propose a syntax-based decoder that restrict word reordering based on reorder- ing operations on syntactic parse-trees of the input sentence. They reported results that are better than ... See full document

... With such formalisms, one may express knowledge from various linguistic theories possibly a mixture, and that the same set of represented knowledge may be implemented for both analysis a[r] ... See full document