[PDF] Top 20 Translation Model Based Cross Lingual Language Model Adaptation: from Word Models to Phrase Models
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Translation Model Based Cross Lingual Language Model Adaptation: from Word Models to Phrase Models
... this model selected large quantities of irrele- vant text, which may degrade the adapted LM (Eck et ...our word TM based cross-lingual data selection model, we operate at the ... See full document
11
The Helsinki Neural Machine Translation System
... are based on Moses (Koehn et ...non-factored phrase-based SMT models using KenLM for language modeling (Heafield, 2011) and BLEU-based MERT for tun- ...IBM word alignment ... See full document
10
Investigations on Phrase based Decoding with Recurrent Neural Network Language and Translation Models
... RNN language and translation models into a phrase-based de- ...RNN translation mod- els that are conditioned on the source context only, and used caching to integrate approximate ... See full document
10
Incremental Syntactic Language Models for Phrase based Translation
... In our integration with Moses, incorporating a syntactic language model dramatically slows the de- coding process. Figure 8 illustrates a slowdown around three orders of magnitude. Although speed remains ... See full document
12
The RWTH Aachen Machine Translation System for WMT 2013
... hierarchical phrase-based translation (Chiang, 2007), a weighted synchronous context-free gram- mar is induced from parallel ...standard models integrated into our Jane hierar- chical ... See full document
7
LIMSI@WMT’16: Machine Translation of News
... n-gram translation models and target n- gram language models, 13 conventional features are combined: 4 lexicon models similar to the ones used in standard phrase-based ... See full document
7
Word Level Confidence Estimation for Machine Translation using Phrase Based Translation Models
... the phrase-based translation sys- tem described in section ...translations, word graphs and N -best lists on all three language pairs using these ...The translation quality in ... See full document
8
Cross lingual projection for class based language models
... a cross-lingual pro- jection technique for training class-based language ...borrow from pre- vious success in projecting POS tags and NER mentions to that of a trained class- ... See full document
6
Towards one shot learning for rare word translation with external experts
... both language pairs, we used data from Europarl (version 7) (Koehn, 2005) and IWSLT17 (Cettolo et ...els based on perplexity (for cross-entropy loss) and BLEU score (for reinforcement ...our ... See full document
10
Neural Reordering Model Considering Phrase Translation and Word Alignment for Phrase based Translation
... machine translation (PBSMT) (Koehn et ...is word reordering. Since PBSMT models the translation process using a phrase table, it is not easy to incorporate global information during ... See full document
10
LIMSI @ WMT’14 Medical Translation Task
... on-the-fly phrase-based model, in a new medical translation task, through various approaches to perform do- main ...ous language models, which yield additional gains of up to 2 ... See full document
8
Language Model Adaptation for Statistical Machine Translation via Structured Query Models
... contains translation candidates, and thus is more informative than Q T 1 ...different from each other in one word or ...query model. 2.2.3 Translation Model as a Query ... See full document
7
The RWTH Aachen University English Romanian Machine Translation System for WMT 2016
... following models: Phrase translation probabilities and lexical smoothing in both directions, word and phrase penalty, distance- based reordering model, n -gram target ... See full document
6
A Direct Syntax Driven Reordering Model for Phrase Based Machine Translation
... direct word reordering model with novel syntax-based features for sta- tistical machine ...Reordering models address the problem of reordering source lan- guage into the word order of ... See full document
9
Incorporating Word and Subword Units in Unsupervised Machine Translation Using Language Model Rescoring
... machine translation track of the WMT’19 news shared task from German to ...a phrase-based sta- tistical machine translation (PBSMT) model and a pre-trained language ... See full document
8
Quality Estimation with Force Decoded Attention and Cross lingual Embeddings
... that models with features based on cross-lingual embeddings only gave a close-to-zero Pearson correlation score, therefore these were not included as standalone features into the final ...of ... See full document
6
Word Level Confidence Estimation for Machine Translation
... direct phrase-based confidence ...the phrase-based translation system described in Section ...IBM model 1, a 4-gram language model, and a deletion model ... See full document
32
Context Dependent Alignment Models for Statistical Machine Translation
... Arabic language incorporates into its words sev- eral prefixes and suffixes which determine grammatical features such as gender, number, person and ...morphological word decomposition and part-of-speech ... See full document
9
A Clustered Global Phrase Reordering Model for Statistical Machine Translation
... Viterbi phrase align- ments can be implemented as a phrase-based de- coder using a beam search whose outputs are con- strained only to the target ...N-best phrase alignment can be obtained by ... See full document
8
Experiments with Universal CEFR Classification
... Mart´ın Abadi, Ashish Agarwal, Paul Barham, Eugene Brevdo, Zhifeng Chen, Craig Citro, Greg S. Cor- rado, Andy Davis, Jeffrey Dean, Matthieu Devin, Sanjay Ghemawat, Ian Goodfellow, Andrew Harp, Geoffrey Irving, Michael ... See full document
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