A query rewrite system can be used to improve query understanding of search engines by generating multiple reformulations of the same query using machine translation. The query rewrite system receives an initial query from a user. It then retrieves known related queries to the initial query from a database. Subsequently, the system generates variant queries from the query and the related queries by passing them through a monolingual machine translator. Thereafter, the system ranks the variant queries according to predefined parameters and transmits one or more of the ranked variant queries to a search engine for further processing
In this paper we describe the use of QuEst, a framework that aims to obtain predictions on the quali...
Query reformulation modifies the original query with aim of providing a better representation of a u...
The Web has been rapidly ``deepened" by myriad searchable databases online, where data are hidden be...
Long queries often suffer from low recall in Web search due to conjunctive term matching. The chance...
Systems and methods for rewriting query terms are disclosed. The system collects queries and query s...
Query translation is an important step in cross-language information retrieval (CLIR), therefore the...
User queries to search engines are observed to predominantly contain inflected content words but lac...
Query translation is an important step in cross-language information retrieval (CLIR), therefore the...
User logs of search engines have recently been applied successfully to improve var-ious aspects of w...
Machine Translation (MT) has been identified as a very important related technology for Multilingual...
AbstractInformation integration systems have to cope with a wide variety of different information so...
We investigate adaptation of a supervised machine learning model for reranking of query translation...
In the past few decades machine translation research has made major progress. A researcher now has a...
Query rewriting plays a vital role in enhancing conversational search by transforming context-depend...
The huge number of documents available on the Web represents a challenge for the information retriev...
In this paper we describe the use of QuEst, a framework that aims to obtain predictions on the quali...
Query reformulation modifies the original query with aim of providing a better representation of a u...
The Web has been rapidly ``deepened" by myriad searchable databases online, where data are hidden be...
Long queries often suffer from low recall in Web search due to conjunctive term matching. The chance...
Systems and methods for rewriting query terms are disclosed. The system collects queries and query s...
Query translation is an important step in cross-language information retrieval (CLIR), therefore the...
User queries to search engines are observed to predominantly contain inflected content words but lac...
Query translation is an important step in cross-language information retrieval (CLIR), therefore the...
User logs of search engines have recently been applied successfully to improve var-ious aspects of w...
Machine Translation (MT) has been identified as a very important related technology for Multilingual...
AbstractInformation integration systems have to cope with a wide variety of different information so...
We investigate adaptation of a supervised machine learning model for reranking of query translation...
In the past few decades machine translation research has made major progress. A researcher now has a...
Query rewriting plays a vital role in enhancing conversational search by transforming context-depend...
The huge number of documents available on the Web represents a challenge for the information retriev...
In this paper we describe the use of QuEst, a framework that aims to obtain predictions on the quali...
Query reformulation modifies the original query with aim of providing a better representation of a u...
The Web has been rapidly ``deepened" by myriad searchable databases online, where data are hidden be...