Get Cross-Language Information Retrieval For Technical Documents

Cross-language information retrieval refers more specifically to the use case where users formulate their information need in one language and the system retrieves relevant documents in another. To do so, most CLIR systems use various translation techniques.

Cross-lingual IR (CLIR) is the task of retrieving information in one language (the target language) based on a query in another language (the source language). For example, you might want to search for French documents using an English query, or vice versa.

: of or relating to languages of different families and types. especially : relating to the comparison of different languages.

Cross-language information retrieval refers more specifically to the use case where users formulate their information need in one language and the system retrieves relevant documents in another. To do so, most CLIR systems use various translation techniques.

Cross-lingual embeddings attempt to ensure that words that mean the same thing in different languages map to almost the same vector. Multilingual embeddings are happy if the embeddings work well in language A and work well in language B separately without any guarantees about interaction between different languages.

While CLIR is concerned with retrieval for given language pairs (i.e. all the documents are given in a specific language and need to be retrieved to queries in another language), MLIR is concerned with retrieval from a document collection where documents in multiple languages co-exist and need to be retrieved to a ...

The term Multilingual Information Retrieval (MLIR) involves the study of systems that accept queries for information in various languages and return objects (text, and other media) of various languages, translated into the user's language.

Query translation is probably the most common approach to CLIR. Since MT is fre- quently computationally expensive and the document sets in IR are large, query transla- tion requires fewer computer resources than document translation.