[PDF] Top 20 A Translation Model for Sentence Retrieval
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A Translation Model for Sentence Retrieval
... for sentence retrieval are low, in comparison to results we would expect for doc- ument ...document retrieval systems, and the low numbers are the result of a lack of coverage in the ...the ... See full document
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THUTR: A Translation Retrieval System
... Translation retrieval is firstly introduced in translation memory (TM) systems (Baldwin and Tanaka, 2000; Baldwin, ...2001). Translation equivalents of maximally similar source language ... See full document
8
Semi supervised Convolutional Networks for Translation Adaptation with Tiny Amount of In domain Data
... each sentence in the general-domain training data based on their do- main relevance ...N sentence pairs are selected to train the SMT ...9-15M sentence pairs in each ... See full document
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Referential Translation Machines for Predicting Translation Quality
... pora contain 4.5M sentences for de-en with 110M words for de and 116M words for en and 15.1M sentences for en-es with 412M words for en and 462M words for es. We do not use any resources provided by QET including data, ... See full document
9
Sentence Simplification by Monolingual Machine Translation
... the sentence simplification ...alignment model to find statistically motivated alignments between ...guage model with the SRILM toolkit to learn the probabilities of different ...each sentence ... See full document
10
Efficient Sentence Retrieval Based on Syntactic Structure
... information retrieval and machine ...a translation system regards these sentences as similar, the translation would ...conventional retrieval techniques exploit only sim- ilarity of surface ... See full document
8
Multi-modal learning using deep neural networks
... unified model which can generalize well on a diverse set of tasks namely image captioning, cross modal retrieval and sentence ...This model emulates the human brain which can perform multiple ... See full document
70
A neural interlingua for multilingual machine translation
... Neural machine translation (NMT) relies on word and sentence embeddings to encode the seman- tic information needed for translation. The stan- dard attentional encoder-decoder models (Bah- danau et ... See full document
9
Source Phrase Segmentation and Translation for Japanese English Translation Using Dependency Structure
... complex sentence to a simple problem of word-level ...clause translation, non-terminals are treated as words and the clause including them is trans- lated using the model trained on a clause-level ... See full document
6
Sentence retrieval for abstracts of randomized controlled trials
... Conclusion sentence which appears to be the most informative [26], and therefore best candidate to enhance search ...effectively model the sequential ordering of ... See full document
13
Large scale Exact Decoding: The IMS TTT submission to WMT14
... put sentence parse trees to a forest of transla- tion derivations by means of forward ...our model is the fact that decod- ing is completely independent of the weights, as no pruning is performed and all ... See full document
8
UPM system for the translation task
... This paper describes the UPM system for translation task at the EMNLP 2011 workshop on statistical machine translation (http://www.statmt.org/wmt11/), and it has been used for both directions: ... See full document
6
Sentence Type Based Reordering Model for Statistical Machine Translation
... Some readers may argue that the features to distinguish the sentence types are very obvious in Chinese. For example, “ ? ” can easily sepa- rate the interrogative sentences from non- question sentences. In this ... See full document
8
Adapting Translation Models for Transcript Disfluency Detection
... machine translation, the state of the art neu- ral sequence-to-sequence methods have led to a paradigm shift away from phrase-based statistical machine transla- tion (SMT) to ...popular model for neural ... See full document
8
TransDoop: A Map Reduce based Crowdsourced Translation for Complex Domain
... which translation is a good ...to translation crowdsourcing, with two map stages (phrase trans- lation and translation validation) and one reduce stage (sentence ... See full document
6
Morphology In Statistical Machine Translation From English To Highly Inflectional Language
... core translation process ...The translation process can be bro- ken up into a sequence of mapping steps that either translate input factors into output factors or gener- ate additional output factors from ... See full document
12
Effective Phrase Translation Extraction from Alignment Models
... phrase translation, and then show gains by our method over a system that utilizes phrase ex- tracted from the HMM ...highest translation quality is achieved by using a lexicon extracted from the ... See full document
8
Context free reordering, finite state translation
... of translation model in which a set of input variants encoded as a context-free forest is translated using a finite- state translation ...to model translation as a two step process: (1) ... See full document
9
A Unified Graph Model for Sentence Based Opinion Retrieval
... opinion retrieval in the granularity of sentence as we observe that a complete opinion always exists within a sentence (refer to Figure 2 ...opinion retrieval (see later in Section ... See full document
9
A Monolingual Tree based Translation Model for Sentence Simplification
... There are still some important issues to be con- sidered in future. Based on our observations, the current model performs well for word substitution and segmentation. But the completion of the new sentences is ... See full document
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