[PDF] Top 20 Dynamic Topic Adaptation for Phrase based MT
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Dynamic Topic Adaptation for Phrase based MT
... of topic information and not towards a tar- get ...form dynamic adaptation with monolingual top- ics, encoding topic similarity between a conversa- tion and training documents in an additional ... See full document
10
Dynamic Topic Adaptation for SMT using Distributional Profiles
... Most work in the WSD literature has modelled disambiguation using a limited window of con- text around the word to disambiguate. Cai et al. (2007), Boyd-graber and Blei (2007) and Li et al. (2010) further tried to ... See full document
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Topic Models for Dynamic Translation Model Adaptation
... Setup To evaluate our approach, we performed ex- periments on Chinese to English MT in two set- tings. First, we use the FBIS corpus as our training bitext. Since FBIS has document delineations, we compare local ... See full document
5
2010 Failures in English Czech Phrase Based MT
... the phrase tables, SemPOS can help to balance model ...domain adaptation by using features indicating the applicability of a phrase in a specific ... See full document
7
Unsupervised Language Model Adaptation Incorporating Named Entity Information
... (LM) adaptation is im- portant for both speech and language ...a topic-specific model that is more relevant to the target ...LM adaptation, this paper in- vestigates how effectively using named ... See full document
8
Dictionary based Domain Adaptation of MT Systems without Retraining
... domain adaptation of Moses (through preprocessing and XML annotations) with the standard approach, where a secondary in-domain phrase table was created from the provided in-domain bilingual lex- icons (this ... See full document
7
A Systematic Comparison of Phrase Based, Hierarchical and Syntax Augmented Statistical MT
... This single batched request per cell paradigm requires some adaptation of the Cube-Pruning al- gorithm. Cube-Pruning is an early pruning tech- nique used to limit the generation of low quality chart items during ... See full document
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Topic Modeling based Domain Adaptation for System Combination
... In the context of system combination, the effect of out-of-domain training data is slightly dif- ferent. Unlike the training of SMT systems, system combination essentially handles only the translation outputs, which can ... See full document
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Incremental Topic Based Translation Model Adaptation for Conversational Spoken Language Translation
... conversations typically revolve around a set of central topics, which may not be evident at the beginning of the interaction. As the conversation progresses, however, the gradual accumulation of contextual information ... See full document
5
A Deep Fusion Model for Domain Adaptation in Phrase based MT
... merging phrase-tables through linear interpolation (Finch and Sumita, 2008; Nakov and Ng, 2009) or log-linear combination (Foster and Kuhn, 2009; Bisazza et ...through phrase training based ... See full document
11
Dynamic Nonlocal Language Modeling via Hierarchical Topic Based Adaptation
... In a concurrent collaborative effort, Khudanpur and Wu 1999 implemented clustering and topic-detection techniques similar on those presented here and computed a maximum entropy topic sen[r] ... See full document
8
Regression with Phrase Indicators for Estimating MT Quality
... This paper describes the regression system for our participation in the WMT12 quality estimation task. In this shared task, we analyzed the pattern of trans- lating errors and studied on capturing such patterns among the ... See full document
5
Hierarchical Phrase Based MT at the Charles University for the WMT 2011 Shared Task
... Table 2: Lowercased BLEU scores of the baseline experiments on News Test 2011 data: BLEUJ is computed by the system, BLEUl is the official evaluation by matrix.statmt.org it differs beca[r] ... See full document
5
Hallucinating Phrase Translations for Low Resource MT
... SMT phrase tables in order to improve efficiency with- out the loss of translation quality (He et ...move phrase pairs which are likely to be inaccu- rate, using either the scores and counts of a given pair ... See full document
11
Towards Topic Labeling with Phrase Entailment and Aggregation
... 1. Phrase aggregation. We propose to generate topic labels using the extracted information by pro- ducing the most representative phrases for each text ...extracted phrase. For ex- ample, the ... See full document
11
A dynamic segmentation based activity discovery through topic modelling
... “bag-of-word” topic models have been applied to discover latent topics in corpus of ...are based on the Kasteren dataset which validates our framework and shows that it is comparable to existing activity ... See full document
6
Using Morphemes from Agglutinative Languages like Quechua and Finnish to Aid in Low Resource Translation
... Another series of morphology experiments, similar to those done at the University of Zurich, were performed by Nießen and Ney (2004). Their methodology reduced the origi- nal corpus size about ten percent resulting in ... See full document
11
Search Engines Analysis for Search Result Based On Phrase (Group of Words) As Query Topic
... Abstract: A huge number of search engines are accessible at the web to fulfill the users’ need based on their query topic. There is a challenge for web users to take decision about the selection of ... See full document
6
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
11
Hierarchical viewpoint discovery from tweets using Bayesian modelling
... To obtain the ground-truth for the evaluation of stance clas- sification, we hired three senior undergraduate students, who worked on NLP-related final-year projects, to manually anno- tate some randomly selected tweets ... See full document
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