[PDF] Top 20 A machine translation system combining rule based machine translation and statistical post editing
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A machine translation system combining rule based machine translation and statistical post editing
... TM adaptation described in 2.1 and LM adapta- tion described in 3.3 can be considered context- aware machine translation. Our method can be ex- tended to document level adaptation. However, we do not make ... See full document
5
Rule-based Reordering and Post-Processing for Indonesian-Korean Statistical Machine Translation
... Additional post-processes performed in this study consist of name entity (NE) translation, particle elimination, dictionary translation, lemma translation and basic verb ...NE ... See full document
9
Improving Translation Fluency with Search-Based Decoding and a Monolingual Statistical Machine Translation Model for Automatic Post-Editing
... the translation fluency is to cascade an Automatic Post-Editing (APE) module to the translation output of an MT/SMT ...fluent translation, due to the limited expressive power of the TM ... See full document
14
Improving Statistical Word Alignment with a Rule Based Machine Translation System
... in statistical machine transla- tion (SMT) (Brown et ...in translation lexicon building (Melamed 1996), transfer rule learning (Menezes and Richardson 2001), example-based ... See full document
7
Rule-based Reordering Space in Statistical Machine Translation
... reordering and decoding into two separate steps. Reorder- ings of the source sentence are compactly encoded in a per- mutation lattice, the reordering space, that is then trans- lated in a monotonic fashion. This allows ... See full document
7
Fast Translation Rule Matching for Syntax based Statistical Machine Translation
... lation system, the entire translation process is normally carried out in two steps, translation rule matching and target sentence decoding us- ing the matched ...of translation rules, ... See full document
9
A Study of Translation Rule Classification for Syntax based Statistical Machine Translation
... the rule contributions and the redundances issues using the presented rule classification based on some real translation systems, we plan to implement some syn- chronous grammar based ... See full document
6
Deepfix: Statistical Post editing of Statistical Machine Translation Using Deep Syntactic Analysis
... 4.1 Tectogrammatical dependency trees Tectogrammatical trees are deep syntactic depen- dency trees based on the Functional Generative Description (Sgall et al., 1986). Each node in a tectogrammatical tree ... See full document
8
Combining Quality Estimation and Automatic Post editing to Enhance Machine Translation output
... MT system, without any intervention on the actual MT ...of machine-translated text (QE as activator, see Section ...the machine-translated text (QE as guidance, see Section ... See full document
13
Learning from Post Editing: Online Model Adaptation for Statistical Machine Translation
... by post-editor ...incremental post-editing ...the post-edited data via the post-edit support ...our translation model a viable platform for further exploration in online learning ... See full document
10
Towards a Hybrid Rule-based and Statistical Arabic-French Machine Translation System
... much smaller than it is for a non- morphologically rich language like English for example. This means that the same word does not repeat often enough for the investigator to make valid observations. In order for any ... See full document
5
Statistical machine translation based on translation rules
... Nowadays statistical machine translation shows its benefits and has received much ...phrase-based statistical machine translation was carefully ...better. ... See full document
8
Combining Statistical Machine Translation and Translation Memories with Domain Adaptation
... the translation memory system: For each segment, the translator is shown similar segments that are already stored in the TM—it is her or his decision whether to take an existing segment and adapt it or ... See full document
11
Touch Based Pre Post Editing of Machine Translation Output
... First, we observe that whatever the metric and the task, the first iteration of PPE always yields a significant improvement over the Moses initial system (e.g. up to +9.8 BLEU and -8.2 TER for news fr→en). ... See full document
6
Applying Statistical Post-Editing to English-to-Korean Rule-based Machine Translation System
... in machine translation from rule-based machine translation (RBMT) to the latest statistical machine translation ...for machine translation can ... See full document
7
A Post editing Interface for Immediate Adaptation in Statistical Machine Translation
... for post-edits – significantly reducing the cost of high quality translation; Frustrations, rooted in repeated errors of MT systems, are mitigated and acceptance of MT can be improved; Domain adaptation in ... See full document
5
Evaluation of machine translation systems and related procedures
... All machine translation techniques come with benefits and ...While rule-based techniques emphasize on the grammar rules, the statistical technique generally ignores the grammar aspect ... See full document
12
Post Editing System For Statistical Machine Translation
... automatic post-editing of machine translation outputs are where the authors successfully performed statistical post-editing (SPE) of rule-based ... See full document
6
Can SMT and RBMT Improve each other’s Performance? An Experiment with English Hindi Translation
... In rule-based MT, various linguistic rules are defined and combined in (Arnold, ...tistical machine translation models have re- sulted from the word-based models (Brown et ...in ... See full document
10
Statistical Phrase Based Post Editing
... databases, translation memories, machine translation and hu- man ...often post ads which, while not entirely identi- cal, still contain identical ...a translation memory of in- dividual ... See full document
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