[PDF] Top 20 Learning from Post Editing: Online Model Adaptation for Statistical Machine Translation
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Learning from Post Editing: Online Model Adaptation for Statistical Machine Translation
... to translation models and of using incremental data to adjust model parameters (feature ...cache-based translation and language models to incorporate data from the current document into a ... See full document
10
Online Learning for Statistical Machine Translation
... present online learning techniques for statistical machine translation ...of translation agencies or the daily translation of government ...batch learning ... See full document
41
Statistical Phrase Based Post Editing
... the post-editing process itself, at least as far as “repetitive errors” are ...automated post-editing (APE) sys- tem, which would automatically learn post-editing rules ... See full document
8
A Coactive Learning View of Online Structured Prediction in Statistical Machine Translation
... of learning from weak feedback is taken a step ...new post-editing scenario where users pick translations from the n-best list that they consider improvements over the predic- ... See full document
11
Post édition statistique pour l’adaptation aux domaines de spécialité en traduction automatique (Statistical Post Editing of Machine Translation for Domain Adaptation) [in French]
... de post-édition statistique pour adapter aux domaines de spé- cialité des systèmes de traduction automatique ...de post-édition basé sur un alignement sous-phrastique est ...telle adaptation a ... See full document
8
Online Learning for Interactive Statistical Machine Translation
... HMM-based model consists of a set of expected counts (numerator and denominator values are stored ...HMM-based model are estimated analogously to those of the inverse HMM-based ...HMM-based model ... See full document
9
Improving Translation Fluency with Search-Based Decoding and a Monolingual Statistical Machine Translation Model for Automatic Post-Editing
... and translation fluency for the current state-of-the-art SMT systems based on IBM models are still too low for publication ...simplified translation model and n-gram language model, and a ... See full document
14
Incremental Adaptation of NMT for Professional Post editors: A User Study
... on online adaptation from post- edits have been conducted, mainly for phrase- based statistical machine translation systems (Al- abau et ... See full document
9
Deepfix: Statistical Post editing of Statistical Machine Translation Using Deep Syntactic Analysis
... For some combinations of a change type and a model, as in case of the preposition removing, we never perform a fix because we observed that it nearly never improves the translation. E.g., if a verb-noun ... 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 translate ... See full document
11
Translation Model Adaptation for Statistical Machine Translation with Monolingual Topic Information
... about translation model adaptation focused on parallel data ...set, from available in-domain and out-of-domain training da- ta to build an adaptive translation ...pairs from ... See full document
10
Hierarchical Incremental Adaptation for Statistical Machine Translation
... incremental adaptation ap- proach for statistical machine translation that maintains a flexible hierarchical do- main structure within a single consistent ...in translation quality ... See full document
7
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 be ... See full document
7
A Post editing Interface for Immediate Adaptation in Statistical Machine Translation
... e.g. from multiple responses by the same subjects. Technical translation effort is approximated by HBLEU+1 and HTER, comparing MT outputs to post-edits, and time is normalized by the number of ... See full document
5
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 ... See full document
5
Adaptation of Reordering Models for Statistical Machine Translation
... domain adaptation (DA) for statistical machine translation (SMT) has mainly focused on the translation model (TM) and the language model ...reordering model (RM) ... See full document
9
ListNet based MT Rescoring
... this model and the RBM-based translation model, the ListNet based algorithm outperforms again all other mod- ...slightly from these models, the ListNet-based op- timization improves the BLEU ... See full document
8
PET: a Tool for Post-editing and Assessing Machine Translation
... pairs, post-editing only the best machine translations according to any QE model allows more words to be post-edited in a fixed amount of time than post-editing randomly ... See full document
6
The Impact of Machine Translation Quality on Human Post Editing
... of post- editors is still an open research ...some machine translation ap- proaches — say, syntax-based models — are bet- ter suited for post-editing than ... See full document
9
Learning Bilingual Linguistic Reordering Model for Statistical Machine Translation
... Bracketing Transduction Grammar (BTG) is a spe- cial case of Synchronous Context Free Grammar (SCFG), with binary branching rules that are either straight or inverted. BTG is widely adopted in SMT systems, because of its ... See full document
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