[PDF] Top 20 Word Lattices for Multi Source Translation
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Word Lattices for Multi Source Translation
... of multi- source translation, with increasing degrees of so- phistication, which we compare empirically on a number of different ...of multi-source translation to include any ... See full document
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Learning a Lexicon and Translation Model from Phoneme Lattices
... While many bilingual lexical entries are correct, such as [w2n]⇔ 一 (‘one’), most are not. Some have segmentation errors [li:z]⇔ くださ (‘please’); some are correctly segmented but misaligned to commonly co-occurring words ... See full document
6
Lattice CNNs for Matching Based Chinese Question Answering
... each word in word lattice via convolutional kernels and ...English translation to alleviate error propagations of 1-best tokenizations, (Zhang and Yang 2018) used lattice LSTM in Chinese named entity ... See full document
8
Phrase Model Training for Statistical Machine Translation with Word Lattices of Preprocessing Alternatives
... the translation decoder to force-align the training ...with word lattices on the source ...the source and target phrase lengths | f ˜ | and |˜ e| and fixed β = e −5 (length-based ... See full document
10
Using a maximum entropy model to build segmentation lattices for MT
... mentation lattices (lattices that encode alterna- tive ways of breaking the input to an MT sys- tem into words), rather than text in any partic- ular segmentation, improves translation qual- ity of ... See full document
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An Overview of Translation Science
... its translation), multi-lingual (similar monolingual texts in source languages with no translations provided; texts are chosen according to set criteria); comparative (source and translated ... See full document
5
Online Full Text
... machine translation is word sense disambiguation (WSD), which is defined as choosing the correct meaning of a multi- meaning ...of source and target ... See full document
5
Multi Source Neural Translation
... first translation by hand, then turns the rest over to machine translation ...The translation system now has two strings as input, which can reduce ambiguity via “triangu- lation” (Kay’s ...English ... See full document
5
Machine Translation with Lattices and Forests
... into word lattice and then use lattice to direct a phrase-based transla- tion ...system. Lattices and forests can also be used in Minimal Error Rate Training and Minimum Bayes Risk Decod- ing phases ... See full document
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Multi Source Neural Machine Translation with Missing Data
... We describe the settings of common parts for all NMT models: multi-encoder NMT, mixture of NMT experts, and one-to-one NMT. We used global attention and attention feeding (Luong et al., 2015) for the NMT models ... See full document
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Ensemble Learning for Multi Source Neural Machine Translation
... a multi-source ensemble (Firat et ...different source languages into the same target ...Different source sentences may differ quite significantly in their structure and thus present a ... See full document
10
A Multi Pairwise Extension of Procrustes Analysis for Multilingual Word Translation
... Continuous word embeddings have been proved effective in numerous NLP ...a source-language embedding space to a target-language one and demonstrated the bene- fits of this approach for word ... See full document
6
Identifying bilingual Multi-Word Expressions for Statistical Machine Translation
... In this section, we describe the approach to extract mono- lingual MWE S from a French-English parallel corpus. Generally, the choice of an effective way to deal with this problem depends on the further use of MWE S , ... See full document
6
Facilitating Translation Using Source Language Paraphrase Lattices
... facilitate translation, especially for resource-limited ...the source input sentence to build a source-side lattice to provide a diverse and flexible list of source-side candidates to the SMT ... See full document
10
Multilingual word translation using auxiliary languages
... word embedding data from a set of k languages. The task is to learn linear mappings between ev- ery pair of languages. In order to learn these map- pings, we are also given a dictionary for each pair of languages, ... See full document
6
The Design of the SauLTC application for the English Arabic Learner Translation Corpus
... English source texts and their Arabic translations in terms of their segmentations, which in turn made automatic alignment ...by translation learners while translating multi-word units and ... See full document
9
Learning Hierarchical Translation Spans
... predicts translation spans for source sentence be- fore translating, which is integrated into the trans- lation system conveniently as soft ...better translation per- formance with acceptable ... See full document
6
The University of Cambridge Russian English System at WMT13
... This paper describes the University of Cambridge submission to the Eighth Workshop on Statistical Machine Transla- tion. We report results for the Russian- English translation task. We use mul- tiple segmentations ... See full document
6
System Description of bjtu nlp Neural Machine Translation System
... On ASPEC-JE corpus, the vocabulary size of English side is 40k while Japanese side is 30k. The number of hidden units is 1000 for both encoder and decoder. And the word embedding dimension is 600 for English side ... See full document
7
Extending Statistical Machine Translation with Discriminative and Trigger Based Lexicon Models
... smaller values tend to have less effect on the over- all probability. In experiments we determined that we could safely reduce the size of the final model by a factor of ten without losing predictive power. In search, we ... See full document
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