[PDF] Top 20 Machine Translation by Triangulation: Making Effective Use of Multi Parallel Corpora

... whether triangulation can also improve performance of larger corpora we ran six separate translation tasks on the full Europarl ...that triangulation can produce high quality translations on ... See full document

... to use the interface, one must first reg- ister to the website and ...new corpora with metadata and settings, which can be edited ...public corpora and to clone them for further ... See full document

... but effective rules: 1) in each article/paragraph, we count the number of paragraphs/sentences on two ...we use translation-based alignment method (in Section ... See full document

... statistical machine translation by automatically creating new training data for difficult to translate ...parts making use of semantic ...the parallel corpus while preserving the align- ... See full document

... in triangulation, the improvement in coverage of the unseen data due to triangulation, and the importance of choosing the right languages as pivot ... See full document

... “plug-ins”, machine translation (MT) is a key component, which enables translation of meta-data and content either for the user or for other components of the WCMS ...chine translation, ... See full document

... strategy, multi-word expressions from the bilingual dictionary that ap- pear in the SL sentences are translated as such by the SMT decoder because they may be split into smaller units by the phrase-extraction ... See full document

... statistical machine translation (SMT), the qual- ity of the translation model is highly dependent on the amount of parallel data used to build ...human translation, which imposes ... See full document

... we use MultiNMT modeling for an extremely low-resource Ja↔Ru translation in- volving English (En) as the pivoting third lan- guage (Utiyama and Isahara, ...auxiliary parallel corpora, which we ... See full document

... African languages, which contribute around 30% (2139) of the world language highly suffer from the lack of sufficient language resources (Simons and Fennig, 2017). This is true for Ethiopian languages. On the other hand, ... See full document

... Neural Machine Translation (NMT) with multilingual corpora, training on the most related high-resource lan- guage only is often more effective than us- ing all data available (Neubig and Hu, ... See full document

... as translation-induced language change; the im- pact of translation tools on linguistic features of written text; contrastive questions regarding dif- ferences between text-type norms and conventions across ... See full document

... The MaxEnt model in (Ittycheriah and Roukos, 2007) was optimized globally, so that it could bet- ter employ the distribution of the training data. However, one has to filter the training data ac- cording to the test data ... See full document

... large corpora for translation model training, especially when using subsampling techniques for out-of-domain sets, using large cor- pora for language model training, and larger tuning ... See full document

... [r] ... See full document

... extracting multi- word expressions from parallel ...the parallel sentence as potential ...We use statistics computed from a large mono- lingual corpus to rank and filter the ... See full document

... Machine translation later emerged as a domi- nant method for paraphrase ...across multi- ple phrase tables. Translation-based paraphrasing has recently benefited from neural networks for MT ... See full document

... to use a bilingual dictio- nary is to hijack the decoding process and force word/phrase translations as per the dictionary en- ...Assisted Translation (CAT) environment to translate documents in the ... See full document

... We trained two Hindi to English translation models, phrase- based (Koehn et al., 2003) and and hierarchical (Chiang, 2005), using Moses (Koehn et al., 2007). In phrased based modeling, both source and target ... See full document

... (direct translation, interlingua-based, transfer- based), corpus-based (statistical, example-based) as well as hybrid ...statistical machine translation (SMT) ...a parallel bilingual corpus ... See full document