[PDF] Top 20 A Framework for Machine Translation Output Combination
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A Framework for Machine Translation Output Combination
... Our proposed framework changes the hypothesis only locally. In the future, we plan to consider long-range information for better performance. Moreover, our system uses unselected hypotheses to decide which is the ... See full document
10
Hierarchical Phrase Table Combination for Machine Translation
... on translation modeling, mixed methods have been investigat- ed for domain adaptation in SMT by adding do- main information as additional labels to the orig- inal phrase table (Foster and Kuhn, ...this ... See full document
9
Machine Translation System Combination with Flexible Word Ordering
... Sentences from different systems are aligned in pairs using a modified version of the METEOR (Banerjee and Lavie, 2005) matcher. This iden- tifies alignments in three phases: exact matches up to case, WordNet (Fellbaum, ... See full document
5
Joint Optimization for Machine Translation System Combination
... word-level combination of translation hypotheses from multiple machine translation ...final output are made jointly according to a set of features in the decoding ... See full document
10
Error Analysis of Statistical Machine Translation Output
... speech translation system that can deal with real life ...three translation directions: Spanish to English, English to Spanish and Chinese to ...the output of an auto- matic speech recognition ... See full document
6
Towards Automatic Error Analysis of Machine Translation Output
... in combination with automatic sentence segmen- tation in order to enable evaluation of translation output without sentence boundaries ...(e.g., translation of speech recognition ...the ... See full document
32
Blast: A Tool for Error Analysis of Machine Translation Output
... Hovy et al. (2002) discussed the complexity of MT evaluation, and stressed the importance of adjusting evaluation to the purpose and context of the trans- lation. However, MT is very often only evaluated quantitatively ... See full document
6
A Multi Domain Translation Model Framework for Statistical Machine Translation
... Reihe (line of objects) occurs more often in a legal corpus. Note that the larger corpus (or more pre- cisely, the one in which row occurs more often) has a stronger impact on the probability distribu- tion with uniform ... See full document
9
Translation Shared Task on Statistical Machine Translation: A Comparison of the Systems Output
... align translation from one or more RBMT system with the source text and incorporated phrases extracted from these alignments into the phrase table of the SMT system ...good combination of phrases from SMT ... See full document
7
Boosting Based System Combination for Machine Translation
... diversified translation systems from a single Statistical Machine Translation (SMT) engine for system ...the framework of boosting. First, a se- quence of weak translation systems is ... See full document
10
Machine Translation System Combination by Confusion Forest
... system combination method for machine translation (MT) is based on confusion networks constructed by aligning hypotheses with regard to word ...system combination framework in which ... See full document
9
UNL Enconversion framework for Machine Translation
... independent framework for UNL has been discussed, developed, implemented and ...The output of testing the framework using these languages are encouraging as it gives similar UNL expressions for the ... See full document
6
Improved Word Level System Combination for Machine Translation
... Recently, confusion network decoding has been applied in machine translation system combination. Due to errors in the hypoth- esis alignment, decoding may result in un- grammatical combination ... See full document
8
A Framework for Managing Verb Phrase Effective and Easy English-Hindi Machine Translation
... For Machine Translation (MT), English grammar is categorized for verb phrase structure², which involves different combinations of tenses (present, past, future), aspects and moods (declarative/assertive, ... See full document
6
Class error rates for evaluation of machine translation output
... of machine translation ...Statistical Machine Trans- lation Workshop. Machine translation outputs in five different European languages are used: English, Spanish, French, German and ... See full document
5
Arabic-Segmentation Combination Strategies for Statistical Machine Translation
... tem combination method similar to (Leusch and Ney, 2010) (iii) and we try different combination strategies, combin- ing different schemes, different methods or a mixture of ...“methods” combination ... See full document
6
Neural System Combination for Machine Translation
... Neural machine translation (NMT) be- comes a new approach to machine trans- lation and generates much more fluen- t results compared to statistical machine translation ...in ... See full document
7
Combination of Arabic Preprocessing Schemes for Statistical Machine Translation
... Statistical machine translation (SMT) is quite ro- bust when it comes to the choice of input represen- ...SMT output by addressing issues such as sparsity in training ... See full document
8
Hierarchical System Combination for Machine Translation
... system combination research have been done ...sus translation by voting on a confusion network, which is created by pairwise word alignment of mul- tiple baseline MT ...black-box combination ... See full document
10
Statistical Phrase Based Post Editing
... raw output from decoding, Portage re- lies on a rescoring strategy: given a list of n -best translations from the decoder, the system reorders this list, this time using a more elaborate loglinear model, ... See full document
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