[PDF] Top 20 Incremental Topic Based Translation Model Adaptation for Conversational Spoken Language Translation
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Incremental Topic Based Translation Model Adaptation for Conversational Spoken Language Translation
... novel topic-based adaptation technique for phrase-based statistical machine translation (SMT) of spoken conversa- ...(LDA) topic model on the training conversations ... See full document
5
A Topic Triggered Language Model for Statistical Machine Translation
... incorporate topic information into language models in several ...a topic factor decomposition based on a segmented training ...unigram topic-based probability and com- bine it ... See full document
8
Polylingual Tree Based Topic Models for Translation Domain Adaptation
... encouraging words that appear together in a con- cept to have similar probabilities given a topic. These concepts can come from WordNet (Boyd- Graber and Resnik, 2010), domain experts (An- drzejewski et al., ... See full document
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Lightly Supervised Word Sense Translation Error Detection for an Interactive Conversational Spoken Language Translation System
... two-way spoken dialogue collection and spans a variety of domains includ- ing force protection, medical diagnosis and aid, ...IBM Model 4 word alignment after applying a merging heuristic similar to that of ... See full document
5
Bilingual LSA Based LM Adaptation for Spoken Language Translation
... crosslingual language model (LM) adaptation based on bilingual Latent Semantic Analysis ...bLSA model is introduced which enables latent topic distributions to be efficiently ... See full document
8
Reordering Constraints for Phrase Based Statistical Machine Translation
... For the ITG constraints a dynamic program- ming search algorithm exists as described in the previous section. It would be more prac- tical with respect to language model recom- bination to have an algorithm ... See full document
7
Hierarchical Incremental Adaptation for Statistical Machine Translation
... Table 1 demonstrates that each component of this approach offered consistent incremental qual- ity gains, but with varying magnitudes. For the patent experiments we report the average over our eight test sets ... See full document
7
Context Adaptation in Statistical Machine Translation Using Models with Exponentially Decaying Cache
... natural language is con- sistency which is also often ignored in statistical ...machine translation this means that adapting to the local domain and sticking to consistent translation choices within ... See full document
8
Incremental Syntactic Language Models for Phrase based Translation
... finite-state model approximation of the tar- get ...Syntactic language models have also been explored with tree-based translation ...syntactic language models during binary bracketing ... See full document
12
An Example based Decoder for Spoken Language Machine Translation
... If one child input is translated completely, i.e. no phrase is un-translated. Then, it should be merged into the parent translation template to form a new template. When merging, we must satisfy the ITG ... See full document
8
Language Model Weight Adaptation Based on Cross-entropy for Statistical Machine Translation
... natural language processing (NLP) applications, including automatic speech recognition (ASR) and ...of language model learned from given dataset changes drastically among different ...Many ... See full document
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Language Model Adaptation with Additional Text Generated by Machine Translation
... ????????? ? ??? ? ??? ??????? ? ? ??? ??????????????? ???????!??????? ? ?#"$??%&? ' ?(????)*?????(??+?, ? ? /???!???0"1)2? ??3???? ???????54 687 9?;?=*>@?BA8CED8CEF/GIHJC KML&LONQPSR/TVUXW2Y2Z\[VT^][.] ... See full document
7
Context Dependent SMT Model using Bilingual Verb Noun Collocation
... machine translation model as an alternative to the classical IBM-style ...This model is tightly coupled with target language model and utilizes bilingual context ...the ... See full document
8
Augmenting Translation Models with Simulated Acoustic Confusions for Improved Spoken Language Translation
... speech translation in a resource- deficient scenario, specifically, adapting MT sys- tems to SLT when ASR is ...that translation models rescore with synthetic translation ...generated ... See full document
10
Automatic generation of paraphrases to be used as translation references in objective evaluation measures of machine translation
... machine translation evaluation, not only are the paraphrase sets produced by this method correct sentences and valid paraphrases, but they also exhibit an internal lexical and syn- tactical variation which was ... See full document
8
Acceptance Testing of a Spoken Language Translation System
... on translation and spoken language system evaluation have been reported in the literature (Polifroni et ...procedure based on the works of Somers and Sugita (2003) and Thomas ... See full document
6
A Spoken Language Translation System: SL TRANS2
... A SPOKEN LANGUAGE TRANSLATION SYSTEM SL TRANS2 A S P O K E N L A N G U A G E T R A N S L A T I O N S Y S T E M S L T R A N S 2 T s u y o s h i M O R I M O T O , M a s a m i S U Z U K I , T o s h i y u[.] ... See full document
5
A Topic Similarity Model for Hierarchical Phrase based Translation
... a topic similarity model which incorporates the rule-topic distributions on both the source and target side into traditional hierarchical phrase-based ...our model achieves a better ... See full document
9
Cross language and Cross encyclopedia Article Linking Using Mixed language Topic Model and Hypernym Translation
... The second error type is caused by articles that have duplicates in Baidu Baike. For example, for the English article “Jensen Ackles”, our approach generates a link to the Chinese article “Jensen” in Baidu Baike. ... See full document
6
A Structured Language Model for Incremental Tree to String Translation
... structured language model, a left-to-right shift-reduce parser in specific, into an incremental tree-to-string model, and introduce an e ffi cient grouping and pruning mechanism for this ... See full document
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