• Documents
  • Authors
  • Tables
  • Log in
  • Sign up
  • MetaCart
  • DMCA
  • Donate

CiteSeerX logo

Advanced Search Include Citations

Tools

Sorted by:
Try your query at:
Semantic Scholar Scholar Academic
Google Bing DBLP
Results 1 - 10 of 33,924
Next 10 →

Applying a Hybrid Query Translation Method to

by Japanese English Cross-Language, Masatoshi Fukui, Shigeto Higuchi, Youichi Nakatani, Atsushi Fujii, Tetsuya Ishikawa , 2000
"... This paper applies an existing query translation method to cross-language patent retrieval. In our method, multiple dictionaries are used to derive all possible translations for an input query, and collocational statistics are used to resolve translation ambiguity. We used Japanese/English parallel ..."
Abstract - Add to MetaCart
This paper applies an existing query translation method to cross-language patent retrieval. In our method, multiple dictionaries are used to derive all possible translations for an input query, and collocational statistics are used to resolve translation ambiguity. We used Japanese/English parallel

Applying a hybrid query translation method to Japanese/English cross-language patent retrieval

by Masatoshi Fukui, Shigeto Higuchi, Youichi Nakatani, Masao Tanaka , Atsushi Fujii , Tetsuya Ishikawa - IN ACM SIGIR WORKSHOP ON PATENT RETRIEVAL , 2000
"... This paper applies an existing query translation method to cross-language patent retrieval. In our method, multiple dictionaries are used to derive all possible translations for an input query, and collocational statistics are used to resolve translation ambiguity. We used Japanese/English parallel ..."
Abstract - Cited by 5 (5 self) - Add to MetaCart
This paper applies an existing query translation method to cross-language patent retrieval. In our method, multiple dictionaries are used to derive all possible translations for an input query, and collocational statistics are used to resolve translation ambiguity. We used Japanese/English parallel

Applying a Hybrid Query Translation Method to Japanese/English Cross-Language Patent Retrieval

by Masatoshi Fukui Shigeto, Masatoshi Fukui, Shigeto Higuchi, Youichi Nakatani, Atsushi Fujii, Tetsuya Ishikawa , 2000
"... This paper applies an existing query translation method to cross-language patent retrieval. In our method, multiple dictionaries are used to derive all possible translations for an input query, and collocational statistics are used to resolve translation ambiguity. We used Japanese/English parallel ..."
Abstract - Add to MetaCart
This paper applies an existing query translation method to cross-language patent retrieval. In our method, multiple dictionaries are used to derive all possible translations for an input query, and collocational statistics are used to resolve translation ambiguity. We used Japanese/English parallel

Simple Query Translation Methods for Korean-English and Korean-Chinese CLIR in NTCIR Experiments

by Myung Gil Jang, Jang Myung, Gil Jang, Pyung Kim, Pyung Kim, Yun Jin, Yun Jin, Suk-Hyun Cho, Suk-hyun Cho, Sung Hyon Myaeng, Sung Hyon Myaeng
"... The main goal of our participation in the NTCIR Workshop is to evaluate relatively simple yet practical methods for CLIR using Korean queries for English and Chinese documents. We employed dictionary-based query translation methods for both cases but with different translation ambiguity resolution t ..."
Abstract - Add to MetaCart
The main goal of our participation in the NTCIR Workshop is to evaluate relatively simple yet practical methods for CLIR using Korean queries for English and Chinese documents. We employed dictionary-based query translation methods for both cases but with different translation ambiguity resolution

Efficient and Effective Querying by Image Content

by C. Faloutsos, W. Equitz, M. Flickner, W. Niblack, D. Petkovic, R. Barber - Journal of Intelligent Information Systems , 1994
"... In the QBIC (Query By Image Content) project we are studying methods to query large on-line image databases using the images' content as the basis of the queries. Examples of the content we use include color, texture, and shape of image objects and regions. Potential applications include med ..."
Abstract - Cited by 503 (13 self) - Add to MetaCart
In the QBIC (Query By Image Content) project we are studying methods to query large on-line image databases using the images' content as the basis of the queries. Examples of the content we use include color, texture, and shape of image objects and regions. Potential applications include

BLEU: a Method for Automatic Evaluation of Machine Translation

by Kishore Papineni, Salim Roukos, Todd Ward, Wei-jing Zhu , 2002
"... Human evaluations of machine translation are extensive but expensive. Human evaluations can take months to finish and involve human labor that can not be reused. ..."
Abstract - Cited by 2228 (4 self) - Add to MetaCart
Human evaluations of machine translation are extensive but expensive. Human evaluations can take months to finish and involve human labor that can not be reused.

Hierarchical phrase-based translation

by David Chiang - Computational Linguistics , 2007
"... We present a statistical machine translation model that uses hierarchical phrases—phrases that contain subphrases. The model is formally a synchronous context-free grammar but is learned from a parallel text without any syntactic annotations. Thus it can be seen as combining fundamental ideas from b ..."
Abstract - Cited by 597 (9 self) - Add to MetaCart
both syntax-based translation and phrase-based translation. We describe our system’s training and decoding methods in detail, and evaluate it for translation speed and translation accuracy. Using BLEU as a metric of translation accuracy, we find that our system performs significantly better than

Answering Queries Using Views: A Survey

by Alon Y. Halevy , 2000
"... The problem of answering queries using views is to find efficient methods of answering a query using a set of previously defined materialized views over the database, rather than accessing the database relations. The problem has recently received significant attention because of its relevance to a w ..."
Abstract - Cited by 562 (32 self) - Add to MetaCart
The problem of answering queries using views is to find efficient methods of answering a query using a set of previously defined materialized views over the database, rather than accessing the database relations. The problem has recently received significant attention because of its relevance to a

Multidimensional Access Methods

by Volker Gaede, Oliver Günther , 1998
"... Search operations in databases require special support at the physical level. This is true for conventional databases as well as spatial databases, where typical search operations include the point query (find all objects that contain a given search point) and the region query (find all objects that ..."
Abstract - Cited by 686 (3 self) - Add to MetaCart
Search operations in databases require special support at the physical level. This is true for conventional databases as well as spatial databases, where typical search operations include the point query (find all objects that contain a given search point) and the region query (find all objects

Relational Databases for Querying XML Documents: Limitations and Opportunities

by Jayavel Shanmugasundaram, Kristin Tufte, Gang He, Chun Zhang, David DeWitt, Jeffrey Naughton , 1999
"... XML is fast emerging as the dominant standard for representing data in the World Wide Web. Sophisticated query engines that allow users to effectively tap the data stored in XML documents will be crucial to exploiting the full power of XML. While there has been a great deal of activity recently prop ..."
Abstract - Cited by 478 (9 self) - Add to MetaCart
and implemented a prototype system that converts XML documents to relational tuples, translates semi-structured queries over XML documents to SQL queries over tables, and converts the results to XML. We have qualitatively evaluated this approach using several real DTDs drawn from diverse domains. It turns out
Next 10 →
Results 1 - 10 of 33,924
Powered by: Apache Solr
  • About CiteSeerX
  • Submit and Index Documents
  • Privacy Policy
  • Help
  • Data
  • Source
  • Contact Us

Developed at and hosted by The College of Information Sciences and Technology

© 2007-2019 The Pennsylvania State University