[PDF] Top 20 Hierarchical Incremental Adaptation for Statistical Machine Translation

... an incremental adaptation ap- proach for statistical machine translation that maintains a flexible hierarchical do- main structure within a single consistent ...in ... See full document

... Second, we looked at the NE density in the corpus and how the integration of the prediction model impacts it. Table 3 reports the number of different NEs (by type) detected in total in each test set, and the number of ... See full document

... The 4th Workshop on South and Southeast Asian NLP WSSANLP, International Joint Conference on Natural Language Processing, pages 72–76, Nagoya, Japan, 14-18 October 2013.... ºï ðòïï ðòðç.[r] ... See full document

... BLEU (D(s; T M ), D(s; T M ∗ )) (1) where the function D produces the target sentence of the source sentence s, given the translation model T M . Consistency measures the similarity between the two groups of ... See full document

... of incremental domain adaptation of a generic neural machine trans- lation model with limited resources ...chine translation experiments (Ar-to-En direc- tion) for comparing a random sampling ... See full document

... engine adaptation partially follows (Denkowski, 2015), using the same adaptive lan- guage model and a similar weight adaptation technique, but differs in the adaptation of the translation ... See full document

... multiple translation mod- els as alternative decoding paths (Birch et ...final translation. In practice, each translation model adds 5 features and thus 5 more dimensions to the weight space, which ... See full document

... topic-dependent translation lexicons in the training process, we estimate topic-specific lexical probability by taking account of topical context when extract- ing word pairs, so our method can also be di- rectly ... See full document

... In this paper, we propose to enhance hierarchi- cal phrase-based SMT by training a series of sep- arate sub-models to learn reorderings for word pairs with distances less than a specific thresh- old, based on the ... See full document

... a hierarchical phrase-based statistical machine translation system, with the TESLA metrics results in significantly better human- judged translation quality than the BLEU- tuned ...the ... See full document

... on Statistical Machine ...source translation toolkit Jane (Vilar et ...the hierarchical phrase-based machine translation system based on (Chiang, 2005) with the two-parse ... See full document

... Traditionally, statistical machine translation systems have relied on parallel bi-lingual data to train a translation ...a statistical machine translation system on news ... See full document

... on translation quality. Using our hy- pothesis of translation consistency we expected another gain on our test ...cache translation op- tions for which the transition costs (of adding this option to ... See full document

... Rule-Based Machine Translation (RBMT also known as “Knowledge-Based Abstract: In the present world, the things get change and the use of automatic machines are increasingly popular, the intelligent ... See full document

... the translation quality, as "CLDC+BTEC+Dic" achieves an improvement of about 1 BLEU score in comparison with "CLDC+BTEC"; (b) the method "CLDC+Mono+Dic", which uses both the in-domain ... See full document

... Domain adaptation is a common concern when op- timizing empirical NLP ...of Statistical Machine Translation (SMT) systems, an additional complication is the heterogeneous na- ture of SMT ... See full document

... for translation model (TM) adaptation using phrase train- ...proposed adaptation procedure is ini- tialized with a standard general-domain TM, which is then used to perform phrase training on a ... See full document

... “verb adverb” order in that language as well. Figure 2 shows how a different word order in the Mandarin source affects reordering when translating into En- glish. Perhaps in situations where different training corpora ... See full document

... Our experiments were on Mandarin-to-English translation. We compared a baseline system, the state-of-the-art phrase-based system Pharaoh (Koehn et al., 2003; Koehn, 2004a), against our sys- tem. For all three ... See full document

... LM adaptation for ...TM adaptation. (Hildebrand et al., 2005) perform LM and TM adaptation based on infor- mation retrieval ...automatic translation for adaptation, which is shown in ... See full document