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Prior work on English monolingual retrieval has shown that a cross-encoder trained using a large number of relevance judgments for query-document pairs can be used as a teacher to train more efficient, but similarly effective, dual-encoder student ...

This half day tutorial introduces the participant to the basic concepts underlying neural Cross-Language Information Retrieval (CLIR). It discusses the most common algorithmic approaches to CLIR, focusing on modern neural methods; the history of CLIR; ...

While there are high-quality software frameworks for information retrieval experimentation, they do not explicitly support cross-language information retrieval (CLIR). To fill this gap, we have created Patapsco, a Python CLIR framework. This ...

The advent of transformer-based models such as BERT has led to the rise of neural ranking models. These models have improved the effectiveness of retrieval systems well beyond that of lexical term matching models such as BM25. While monolingual ...

HC4 is a new suite of test collections for ad hoc Cross-Language Information Retrieval (CLIR), with Common Crawl News documents in Chinese, Persian, and Russian, topics in English and in the document languages, and graded relevance judgments. New ...

In cross-language information retrieval using probabilistic structured queries (PSQ), translation probabilities from statistical machine translation act as a bridge between the query and document vocabulary. These translation probabilities are typically ...

Todays, The internet has become a source of multi-lingual content. Users are not aware of multiple languages, so the language diversity becomes a great barrier for world communication. Cross-Language Information Retrieval (CLIR) provides a solution for ...

Proliferation of multilingual content on the web has paved way for text reuse to get cross-lingual and also cross script. Identifying cross language text reuse becomes tougher if one considers cross-script less resourced languages. This paper focuses on ...

Using bilingual dictionaries is a common way for query translation in Cross Language Information Retrieval. In this article, we focus on Vietnamese-English Bilingual Information Retrieval and present algorithms for query segmentation, word ...

This paper presents results for DCU's second participation in the SMS-based FAQ Retrieval task at FIRE. For FIRE 2012, we submitted runs for the monolingual English and Hindi and the crosslingual English to Hindi subtasks. Compared to our experiments ...

This paper reports on functions and extensions to a digital library record creation, search, and collection-building tools, auroraDL, as a response to academic and professional focus groups' interest in digital library/content exploration tools.

This paper discusses a query-translation based cross-language diagnosis (Q-CLD) for print defects conducted by nonnative English users. The first step involved developing three fuzzy Bayesian models: one based on English descriptions provided by native ...

This paper analyzes the basic modes of Cross-Language Information Retrieval (CLIR) and the critical technologies of translation disambiguation. It optimizes translation outcome by eliminating translation ambiguity. The methods are based on co-...

We propose a cross-language retrieval model that is solely based on Wikipedia as a training corpus. The main contributions of our work are: 1. A translation model based on linked text in Wikipedia and a term weighting method associated with it. 2. A ...

I demonstrate that there are two types of transitive translations of Named Entities (NEs), both of which should be handled in the process of Cross Lingual Information Retrieval (CLIR). An official transitive translation is defined as a translation made ...

A query translation-based Korean-English cross-language diagnosis (Q-KE-CLD) tool for assisting Korean users diagnosing print defects was developed and then evaluated as a case study of distributed decision making support for nonnative English users. ...

In this paper, we propose a graph-based approach to constructing a multilingual association dictionary from Wikipedia, in which we exploit two kinds of links in Wikipedia articles to associate multilingual words and concepts together in a graph. The ...

The selection of indexing terms for representing documents is a key decision that limits how effective subsequent retrieval can be. Often stemming algorithms are used to normalize surface forms, and thereby address the problem of not finding documents ...

Now with the competition of the enterprise globalization gradually, so enterprise which want to participating competition, not only know their own circumstance about the enterprise themselves, but also know the circumstance about the rival. This need ...

The goal of this paper is to cross-lingually analyze multilingual blogs collected with a topic keyword. The framework of collecting multilingual blogs with a topic keyword is designed as the blog feed retrieval procedure. Mulitlingual queries for ...