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A study of statistical models for query translation
2006
Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '06
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We begin with a review of a word-based translation model that uses cooccurrence statistics for resolving translation ambiguities. ...
This paper presents a study of three statistical query translation models that use different units of translation. ...
Reranking Approach This section describes the reranking approach which is the fundamental modeling framework for both NP and dependency translation models. ...
doi:10.1145/1148170.1148207
dblp:conf/sigir/GaoN06
fatcat:lemb54h7ybeuncuwz5ibb5uyi4
Statistical query translation models for cross-language information retrieval
2006
ACM Transactions on Asian Language Information Processing
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words and weights for a query. ...
The co-occurrence model treats a query as a bag of words, and use all the other terms in the query as the context for translation disambiguation. ...
Huang for useful discussions. ...
doi:10.1145/1236181.1236184
fatcat:wyvllatw3bbgfjvdws3ep7gi4i
KenLM: Faster and Smaller Language Model Queries
2011
Conference on Machine Translation
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We present KenLM, a library that implements two data structures for efficient language model queries, reducing both time and memory costs. ...
The TRIE data structure is a trie with bit-level packing, sorted records, interpolation search, and optional quantization aimed at lower memory consumption. ...
Adam Pauls provided a pre-release comparison to BerkeleyLM and an initial Java interface. Nicola Bertoldi and Marcello Federico assisted with IRSTLM. Chris Dyer integrated the code into cdec. ...
dblp:conf/wmt/Heafield11
fatcat:gskdwespmbcpvdru6mgzdghhbq
On-the-Fly Translation and Execution of OCL-Like Queries on Simulink Models
2019
2019 ACM/IEEE 22nd International Conference on Model Driven Engineering Languages and Systems (MODELS)
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MATLAB/Simulink is a tool for dynamic system modelling. ...
This approach is expensive as the cost of the transformation can be crippling for large models, it requires the synchronisation of the native Simulink model and its EMF counterpart, and the EMF-representation ...
In contrast, our approach uses the modelling technology API to translate high-level CRUD operations at model type level on-demand in a similar fashion to other Epsilon bridges such as [20, 35] . ...
doi:10.1109/models.2019.000-1
dblp:conf/models/SanchezZRKP19
fatcat:tppdrwecgfgvxoizhu5fp2ym7u
MQT, an Approach for Run-Time Query Translation: From EOL to SQL
2014
ACM/IEEE International Conference on Model Driven Engineering Languages and Systems
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This paper presents MQT, an approach that translates EOL (model-level queries) to SQL (persistence-level queries) at runtime. ...
Both are complementary but while model-level queries are closer to modelling engineers, persistence-level queries are specific to the persistence technology and leverage its capabilities. ...
Dimitris Kolovos for his help on this work. This work is partially supported by the EC, through the Scalable Modelling and Model Management on the Cloud (MONDO) FP7 STREP project (#611125). ...
dblp:conf/models/CarlosST14a
fatcat:ryy4py5c4za4nita6f6zznmj3a
Text-to-SQL Generation for Question Answering on Electronic Medical Records
[article]
2020
arXiv
pre-print
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In this paper, we tackle these challenges by developing a deep learning based TRanslate-Edit Model for Question-to-SQL (TREQS) generation, which adapts the widely used sequence-to-sequence model to directly ...
However, most of the existing approaches have not been adapted to the healthcare domain due to a lack of healthcare Question-to-SQL dataset for learning models specific to this domain. ...
large-scale dataset for Question-to-SQL task in healthcare domain. ...
arXiv:1908.01839v2
fatcat:7cwr33tcdbd5xhup7jdnsixvxe
Scalable Model Edition, Query and Version Control Through Embedded Database Persistence
2014
ACM/IEEE International Conference on Model Driven Engineering Languages and Systems
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This approach aims to provide scalability through model edition, querying and versioning mechanisms that leverage database capabilities. ...
However, to the best of our knowledge there is less coverage of approaches on models persistence which include model querying, versioning and edition capabilities leveraging persistence capabilities. ...
Fig. 1 : 1 Fig. 1: Model-Level Query Layer, run-time translation from model-level to persistence-level.
Fig. 2 : 2 Fig. 2: VCS Integration Layer, differencing and merging for large-scale models. ...
dblp:conf/models/CarlosST14
fatcat:yxtpn5old5d63nrkozkvyunnfa
Efficiently querying large-scale heterogeneous models
2020
Proceedings of the 23rd ACM/IEEE International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings
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This paper contributes to tackling the challenge of scalable querying of large-scale heterogeneous models for low-code platforms. ...
In [20] , the authors discuss the challenges of running OCL based queries on relational database-backed models and propose an approach for translating queries written in higher-level query languages ( ...
It is essential to have a query optimization strategy for this scenario so that large-scale models can be queried efficiently. ...
doi:10.1145/3417990.3420207
dblp:conf/models/AliKB20
fatcat:rrcbc5drk5fgfg7lrhrpur2fqa
Effective Approaches to Neural Query Language Identification
2022
Computational Linguistics
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In order to enhance the discrimination of queries, a variety of external features, e.g. character, word as well as script, are fed into the model and fused by a multi-scale attention mechanism. ...
Moreover, to remedy the low resource challenge in this task, a novel machine translation based strategy is proposed to automatically generate synthetic query-style data for low-resource languages. ...
Acknowledgments The authors thank the reviewers for their helpful comments in improving the quality of this work. This work is supported by National Key R&D Program of China (2018YFB1403202). ...
doi:10.1162/coli_a_00451
fatcat:tz3oxk6lujehtesnagnnzwpzqe
Cross-language spoken document retrieval using HMM-based retrieval model with multi-scale fusion
2003
ACM Transactions on Asian Language Information Processing
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In addition, this HMM-based CLIR retrieval model is also extended for retrieval at subword scales. ...
The HMM-based retrieval model is a probabilistic formulation for the retrieval problem. Extensions to this retrieval model can be made by taking advantage of its probabilistic nature. ...
One approach is to obtain maximum likelihood estimates from large corpora. ...
doi:10.1145/964161.964162
fatcat:meyid3zxrjglvpf3zm4nn3u2wu
Cross-lingual Information Retrieval with BERT
[article]
2020
arXiv
pre-print
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Experimental results of the retrieval of Lithuanian documents against short English queries show that our model is effective and outperforms the competitive baseline approaches. ...
A deep relevance matching model based on BERT is introduced and trained by finetuning a pretrained multilingual BERT model with weak supervision, using home-made CLIR training data derived from parallel ...
After finetuning, this model produces a sentence-level relevance score for a pair of input query and foreign language sentence. ...
arXiv:2004.13005v1
fatcat:c4wlwr65abekrjljez3bvzipru
Statistical Machine Translation for Query Expansion in Answer Retrieval
2007
Annual Meeting of the Association for Computational Linguistics
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SMT-based query expansion is done by i) using a full-sentence paraphraser to introduce synonyms in context of the entire query, and ii) by translating query terms into answer terms using a full-sentence ...
We present an approach to query expansion in answer retrieval that uses Statistical Machine Translation (SMT) techniques to bridge the lexical gap between questions and answers. ...
Our method for question-answer translation uses a large corpus of question-answer pairs extracted from FAQ pages to learn a translation model from questions to answers. ...
dblp:conf/acl/RiezlerVTML07
fatcat:ixaktrrskfcqraia3fxl55aghi
Machine learning for query-document matching in search
2012
Proceedings of the fifth ACM international conference on Web search and data mining - WSDM '12
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Sense level
Topic level
Structure level
No Transformation
Topic Model
Dependency
Model
Latent Space
Model
Query
Reformulation
Translation
Model
Translation
Model
Translation
Model ...
Translation Model
• Matching in Latent Space
33
Relation between Approaches
34
Phrase level
Doc Trans. ...
., 2003) • Generation process -Word distribution given topic ~Dir -For each document: ...
doi:10.1145/2124295.2124393
dblp:conf/wsdm/LiX12
fatcat:ie2hyzulwvd6tayifniys5ih4y
Learning Translational and Knowledge-based Similarities from Relevance Rankings for Cross-Language Retrieval
2014
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
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In large-scale experiments for patent prior art search and cross-lingual retrieval in Wikipedia, our approach yields considerable improvements over learningto-rank with either only dense or only sparse ...
We present an approach to cross-language retrieval that combines dense knowledgebased features and sparse word translations. ...
Acknowledgments This research was supported in part by DFG grant RI-2221/1-1 "Cross-language Learning-to-Rank for Patent Retrieval". ...
doi:10.3115/v1/p14-2080
dblp:conf/acl/SchamoniHSR14
fatcat:fk42avwtpje2pmt76sw276vc7e
Cross-Lingual Learning-to-Rank with Shared Representations
2018
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers)
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We introduce a large-scale dataset derived from Wikipedia to support CLIR research in 25 languages. ...
This is a challenging problem for data-driven approaches due to the general lack of labeled training data. ...
Government is authorized to reproduce and distribute reprints for governmental purposes notwithstanding any copyright annotation therein. ...
doi:10.18653/v1/n18-2073
dblp:conf/naacl/SasakiSSDI18
fatcat:mrdjzvlqgnda5bu74vzlg4xwwi
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