Reordering in statistical machine translation a function word, syntax based approach

... long-distance reordering 2.2 Phrase -based Approach Learning from the weaknesses of the word -based approach, the phrase -based approach improves statistical machine translation formulation in at least ... Formally Syntax- based Approach The formally syntax- based (FSB) approach arguably represents the most realistic strand of syntax- based approach This stran...

Ngày tải lên: 14/09/2015, 08:47

... the word order in target language To this end, we propose a simple but effective ranking-based approach to word reordering The ranking model is automatically derived from the word aligned ... baseline system for In order to show whether the improved performance is really due to improved reordering, we would like to measure the reorder performance directly 917 Reorder...

Ngày tải lên: 19/02/2014, 19:20

... Wu, 1997) In the following, we will call these the ITG constraints The second constraints are the IBM constraints (Berger et al., 1996) In the next section, we will describe these constraints from ... translation results for both the IBM constraints and the baseline ITG constraints We used a single-word based search with IBM Model The initialization for the ITG constraints w...

Ngày tải lên: 17/03/2014, 06:20

... this approach achieves the best result within certain distortion limit and is therefore not a good model for global reordering There are a few attempts to the preprocessing approach to reordering ... Papineni 2006 Distortion Models for Statistical Machine Translation Proceedings for ACL 2006 Michael Collins, Philipp Koehn, and Ivona Kucerova 2005 Clause Restructuring fo...

Ngày tải lên: 31/03/2014, 01:20

... Civera and Alfons Juan 2007 Domain adaptation in statistical machine translation with mixture modelling In Proceedings of the Second Workshop on Statistical Machine Translation, StatMT ’07, pages ... Marcello Federico 2009 Domain adaptation for statistical machine translation with monolingual resources In Proceedings of the Fourth Workshop on Statistical Machine Tr...

Ngày tải lên: 19/02/2014, 19:20

... Joint Source-Channel Model for Machine Transliteration In Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics Wei-Hao Lin and Hsin-Hsi Chen 2002 Backward Machine ... transliterator described in section to the tagged items We limit this transliteration to words that occur up to 50 times in the training corpus for single token names (or up to 10...

Ngày tải lên: 20/02/2014, 09:20

... Och, and Jeffrey Dean 2007 Large language models in machine translation In Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language ... Barcelona, Spain, July Arne Mauser, Saˇa Hasan, and Hermann Ney 2009 Exs tending statistical machine translation with discriminative and trigger-based lex...

Ngày tải lên: 07/03/2014, 22:20

... more interested in cross-linguistic structures, similar to the case of using interlingua to represent cross-linguistic information in knowledge-based MT To obtain structures that are common in ... Spoken Language Processing (ICSLP'96), Philadelphia, USA Wang, Y and A Waibel 1997 Decoding Algorithm in Statistical Machine Translation In Proceedings of the 35th Annual Meeting of...

Ngày tải lên: 08/03/2014, 06:20

... 35.9 36.0 35.1 Table 5: Domain adaptation results DE–FR Domain: Alpine texts Full IN TM: Using the full in -domain parallel corpus; small IN TM: using 10% of available in -domain parallel data weights.12 ... When moving from a binary setting with one in -domain and one out-of -domain translation model (trained on all available out-of -domain data) to 4–10 translation...

Ngày tải lên: 17/03/2014, 22:20

Ngày tải lên: 23/03/2014, 17:20

... results than using the MMI training criterion (with our method to define pseudoreferences) and that optimizing error rate as part of the training criterion helps to obtain better error rate BLEU [%] ... words occurring in the development and test corpora given in Table We observe that if we choose a certain error criterion in training, we obtain in most cases the best re...

Ngày tải lên: 23/03/2014, 19:20

... problem in a follow-up arti• cle, so far there have no publications devoted to the decoding issue for statistical machine translation On the other side, decoding algorithm is a crucial part in statistical ... the following operations: INSERT: to insert a new hypothesis into the set DELETE: to delete a state in hard pruning MAXIMUM: to find the state with the best score to extend...

Ngày tải lên: 24/03/2014, 03:21

... evaluation of machine translation Pavel Pecina, Antonio Toral, Andy Way, Vassilis Papavassiliou, Prokopis Prokopidis, and Maria Giagkou 2011 Towards using web-crawled data for domain adaptation in statistical ... Online large-margin training for statistical machine translation In Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Proces...

Ngày tải lên: 24/03/2014, 03:20

... advantage of the reordering model is that it can better model global phrase reordering using a four-valued reordering pattern, and it can be easily Table shows the BLEU score of reordering models with ... score for the clustered and lexical reordering model with different conditioning factors incorporated into a standard phrase- based translation decoder The problem o...

Ngày tải lên: 31/03/2014, 01:20

... P(e|f) ~ plm -word( eword)* plm -suffix( esuffix) * Σi=1n p(eword-j & esuffix-j|fj) * Σi=1n p(fj | eword-j & esuffix-j) Where plm -word is the n-gram language model probability over the word surface ... surface forms Similarly, plm -suffix( esuffix) is the language model probability over suffix sequences p(eword-j & esuffix-j|fj) and p(fj | eword-j & esuffix-j) are translation probabilit...

Ngày tải lên: 20/02/2014, 04:20