Multilingual Information Retrieval: From Research To Practice
By C. Peters, Martin Braschler, Paul D. Clough. 2012
78 citations recorded by the source corpus.
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Matthew B. Blaschko
- Wacha Bounliphone
- Sean MacAvaney
- Luca Soldaini
- Nazli Goharian
- Arthur Gretton
- Arthur Tenenhaus
- Krikamol Muandet
Citations in the corpus
- A low variance consistent test of relative dependency (2014, background): “In automated translation (Peters et al., 2012), it is of interest to determine whether documents in a source language are a significantly better match to those in one target language than to another target language, either as a measure of difficulty of the respective learning tasks, or as a basic to”
- Teaching a New Dog Old Tricks: Resurrecting Multilingual Retrieval Using Zero-Shot Learning (2019, methodology): “multiple cross-lingual ad-hoc retrieval tasks from 2000 to 2009 [3]. Early systems for these tasks leveraged dictionary and statistical translation approaches, as well as other indexing optimizations [27]. More recently, approaches that rely on cross-lingual semantic representations (such as multili”
- Adaptation of machine translation for multilingual information retrieval in the medical domain (2014, unknown): “[107], or Zhou et al.”
- MIMO: Multilingual Information Retrieval via Monolingual Objectives (2026, unknown): “As Information Retrieval (IR) technologies become globally ubiquitous, real-world user search environments are inevitably becoming multilingual (Hong et al., 1996; Peters et al., 2012; Sujatha and Dhavachelvan, 2011; Rahimi et al., 2015).”
- MLAIRE: Multilingual Language-Aware Information Retrieval Evaluation Protocal (2026, unknown): “Multilingual Information Retrieval (MLIR) aims to retrieve relevant content when queries and documents appear in diverse languages [1, 2].”