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Most current sentence alignment approaches adopt sentence length and cognate as the alignment features; and they are mostly trained and tested in the docu- ments with the same style. Since …...

AbstractWe examine the performance of three dependency parsing systems, in particular, their performance variation across Wikipedia domains. We assess the performance variation of (i) Alpino, a deep grammar-based system coupled …...

We estimate the semantic similarity between two sentences using regression models with features: 1) n-gram hit rates (lexical matches) between sentences, 2) lexical semantic sim- ilarity between non-matching words, and …...

Despite the growing interest in and use of machine translation post-edited out- puts, there is little research work explor- ing different types of post-editing opera- tions, i.e. types of translation …...

AbstractMany studies have confirmed that translated texts exhibit different features than texts originally written in the given language. This work explores texts translated by different translators taking into account expertise …...

AbstractRecent studies have proven that the training of neural machine translation (NMT) can be facilitated by mimicking the learning process of humans. Nevertheless, achievements of such kind of curriculum learning …...

AbstractIn this work, we analyse different translated texts in terms of various text features. We compare two types of human translations, professional and students’, and machine translation outputs in terms …...