[PDF] Top 20 Hybrid Morphological Segmentation for Phrase Based Machine Translation
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Hybrid Morphological Segmentation for Phrase Based Machine Translation
... unsupervised morphological segmentation may alleviate these ...method based on optimizing the training data likelihood, such as Morfessor (Creutz and Lagus, 2002; Creutz and Lagus, 2007; Virpioja et ... See full document
7
Neural Machine Translation Leveraging Phrase based Models in a Hybrid Search
... vanilla phrase-based ...a phrase table extracted from parallel data based on word ...and translation models which take all previously gen- erated target words into ... See full document
10
Improving Phrase based Statistical Myanmar to English Machine Translation with Morphological Analysis
... The system also used syntactic structure of Myanmar sentence and Myanmar grammar to improve translation quality. The roots of Myanmar language verbs are almost always suffixed with at least one particle which ... See full document
7
A Hybrid Word Alignment Model for Phrase Based Statistical Machine Translation
... SMT based model for chunk translation and then aligned the source- target chunk pairs after validating the translated ...model based approach for Eng- lish—Chinese NE alignment which significantly ... See full document
8
Can Machine Learning Algorithms Improve Phrase Selection in Hybrid Machine Translation?
... erroneous phrase tables, it is very likely that Lucy phrases and their “aligned” SMT matches simply do not fit the “open slot” inside the translation ...the hybrid substitution ... See full document
6
A Character level Decoder without Explicit Segmentation for Neural Machine Translation
... chine translation has considered words as a ba- sic ...existing translation systems, such as language models and phrase tables, are a count-based estimator of ...a phrase-based ... See full document
11
Character Cluster Based Segmentation using Monolingual and Bilingual Information for Statistical Machine Translation
... novel segmentation approach for Phrase-Based Statistical Machine Translation (PB-SMT) to languages where word boundaries are not obviously marked by using both monolingual and bilingual ... See full document
8
Morphological Segmentation and OPUS for Finnish English Machine Translation
... the translation between Finnish and English using standard tech- nology such as phrase-based and factored statisti- cal machine translation, in preparation for a more focused future ... See full document
7
Syntactic Constraints on Phrase Extraction for Phrase Based Machine Translation
... typical phrase-based machine transla- tion (PBMT) system uses phrase pairs extracted from word-aligned parallel ...All phrase pairs that are consis- tent with word alignments are ... See full document
6
Pseudo Word for Phrase Based Machine Translation
... word segmentation on languages where word bounda- ries are not orthographically ...to-English translation task where Chinese word boundaries are not marked, Xu et ...word segmentation model and ... See full document
9
Integrating morpho syntactic features in English Arabic statistical machine translation
... cal segmentation of the Arabic source benefits the performance of Arabic-to-English ...improve translation for tasks with out-of-domain training ...of morphological analysis both while de- coding ... See full document
8
Phrase Based Backoff Models for Machine Translation of Highly Inflected Languages
... Similar morphological simplifications have been applied to other languages such as Roma- nian (Fraser and Marcu, 2005) in order to de- crease word alignment error ...counts based on the different lev- els ... See full document
8
Decoder based Discriminative Training of Phrase Segmentation for Statistical Machine Translation
... decoder based phrase segmentation and a new algorithm which can iteratively train the segmentation ...good segmentation and a bad segmentation based on the evaluation ... See full document
10
Phrase Level Segmentation and Labelling of Machine Translation Errors
... edit-distance based approach performs bet- ter than the two ...is based on the original post-editions. Therefore, this segmentation is close to the one produced by our anno- ...decoder- based ... See full document
6
Phrase-Based Machine Translation based on Simulated Annealing
... The first column presents French sequences of one or sev- eral words. Sequences that have more than one word are automatically picked up by the iterative process explained in section (2.3.1.). For each French sequence, ... See full document
7
Supertagged Phrase Based Statistical Machine Translation
... There are currently two supertagging approaches available: LTAG-based (Bangalore & Joshi, 1999) and CCG-based (Clark & Curran, 2004). Both the LTAG (Chen et al., 2006) and the CCG supertag sets ... See full document
8
Entropy based Pruning for Phrase based Machine Translation
... spurious phrase pairs are ...spurious phrase pairs, in fact, spurious phrase pairs are probably kept in the phrase table, since each distinct spurious phrase pair is only extracted ... See full document
10
SampleRank Training for Phrase Based Machine Translation
... system, the eight core features were supplemented with the six features of the lexicalised reordering model, which was trained on the same data as was used to build the translation model. Whilst a train- ing set ... See full document
11
Using Morphemes from Agglutinative Languages like Quechua and Finnish to Aid in Low Resource Translation
... of hybrid machine translation techniques with languages that have few resources ...accept hybrid-based rules in order to accept specific prob- abilities through a configuration file ... See full document
11
Phrase Based & Neural Unsupervised Machine Translation
... word-by-word translation with an inferred bilingual ...incorrect translation (blue cross near the empty ...(back) translation, we use the target → source model (continuous arrow) to reconstruct the ... See full document
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