This thesis discusses main problems associated with dictionary-based Cross-Language Information Retrieval as lexical and translational ambiguity of query terms, translation of compounds and phrases, dictionary limitation. The purpose of the study is to investigate how query structure influences the effectiveness of CLIR regarding performance of three query types: original query, unstructured query and structured query. Query structuring refers to the application of #syn-operator to group query terms. The study comprises an experiment that was performed in the InQuery IR system with TrecUta database that contains 550,000 news articles from different American newspapers. 24 topics were used for the experiment.

The purpose of this Masters thesis is to examine the performance of queries that are expanded by synonyms and hyponyms from Svenskt OrdNät, the Swedish version of the Princeton WordNet. Four different types of queries were constructed: a baseline query S1, the baseline query expanded with synonyms S2, the baseline query expanded with hyponyms S3 and finally the baseline query expanded with the synonyms and hyponyms used in S2 and S3. The terms for expansion were picked by hand. The queries were executed in the Query Performance Analyser QPA, a tool used in IR education and in experimental IR research for analysing and comparing the performance of individual queries. 20 topics from the test collection GP_HDINF were chosen for the experiment.

The purpose of this thesis is to compare five different ranking algorithms for query expansion. The algorithms compared are f4, f4mod, porter, wpq, and emim. This is done using a TREC collection, a selection of topics, and relevance judgements. Relative recall is measured before and after the expansion of the query. The study shows that all of the algorithms manage to increase the relative recall, f4 being the one most successful..

In query expansion (QE) terms are added to an initial query in order to improve retrieval effectiveness. In this thesis we use QE in the sense that a reformulation of the query is done by deleting the terms in the initial query and instead replacing them with terms from the documents retrieved in the initial run. The aim of this thesis is to, in a experimental full text invironment, study and compare the retrieval result of two different query expansion strategies in relation to each other. The following questions are addressed by the study: How do the two strategies perform in relation to each other regarding recall? What may be causing the result? Are the two strategies retrieving the same relevant documents? Two strategies are designed to simulate a searcher using automatic query expansion (AQE) either with or without relevance feedback.

The aim of this masters thesis is to examine query expansion. Query expansion is the process of adding new terms to a query to improve the retrieval effectiveness. In this study the baseline query was expanded in five different modes. The first expansion strategy was formulated by the inflected terms as the system does not allow truncation, I have inflected the terms, e. g.

The aim of this thesis is to compare the effectivity of using a natural language and a controlled vocabulary when performing subject searches in the bibliographic database LISA Library and Information Science Abstracts. 20 topics were created and for each topic two searches were made, one by using a query formulated with natural language directed to the abstract field and the other one by using a query formulated with descriptors from the thesaurus in LISA directed to the descriptor field. The average relative recall amounted to 64,8% for the AB-queries and 54% for the DE-queries. Failure analysis showed that the majority of the relevant documents not retrieved by AB-queries could have been retrieved with other query terms, such as synonyms. In a natural language there are many different ways of expressing a topic, and this tends to have a negative effect on retrieval effectivity.

The focus of the thesis is an information search technique called manual query expansion, which aims to improve the retrieval per-formance in a search system by adding terms to the search query. The study looks at the query expansions done by LIS students, and the eventual beneficial effects by using a search help during the search process. The empirical data have been collected thro-ugh an experiment, with an experiment group as well as a control group. The conclusion is that the students need more education in query expansion in order to be able to use it correctly. There are significant differences between the groups in several aspects, for example in the use of search terms, parentheses, and truncation.

This Masters thesis deals with query expansion in an online library catalogue. The aim of the study was to compare the retrieval effectiveness of four different query types when applied to the online library catalogue of the University College of Borås. The query types were: an initial query, the initial query with right hand truncation, the initial query expanded with synonyms and finally the initial query expanded with synonyms and right hand truncation. 24 topics were formulated, and four queries for each topic were constructed. The records retrieved by the searches were judged with regard to topicality, and were judged to be non-relevant, partially relevant or relevant.

This thesis deals with query formulation in full text retrieval. The variables studied were query expansion and query structur[INS: e :INS , and the aim of the thesis is to study their co-effects on retrieval performance in a probabilistic system. The expansion was made with synonyms, and the structure by expressing facets and phrases. The study was performed using QPA, Query Performance Analyzer, which includes InQuery retrieval system and a sub-collection of TREC documents with its topics. The measurement used was precision at 11 DCV points.

This thesis examines the effects of proximity operators and query expansion with synonyms on retrieval performance. The queries were expanded with synonyms and structured with proximity operators where the permitted distance between terms varied from 1 to 3. The expansion terms were selected from the online lexical reference system WordNet. Initial query terms were selected from 28 topics that contained compound words and were chosen on the basis of their expandibility. The English morphological analyser ENGTWOL was used for normalization of query terms.

The purpose of this thesis is to examine the performance of queries that are expanded by 1 inflections, 2 compound splitting and 3 inflections and compound splitting combined. For compound splitting, the morphological analyser SWETWOL was used. Queries were executed in the Query Performance Analyser, QPA, containing the InQuery system. Query terms were selected from 29 topics, all of whom containing at least one compound word. Both the queries and the documents were in Swedish.

The aim of this study was to compare the Query-by-Humming systems Midomi, Musicline and Tunebot regarding their retrieval effectiveness. The aim was to see if there were differences between the systems but also between the user groups common users, musicians and singers. Query-by-Humming system means that the user sings a tune that the system then use to find the right melody.To compare the systems and their users, queries where collected from the different user groups and replayed for the systems. Mean Reciprocal Rank and Friedman test was used to do the comparison.The results showed that the system did not achieve equivalent and that there were no difference between the user groups. The Mean Reciprocal Rank showed that the systems had very different retrieval effectiveness, where Midomi was the system with best result and Musicline with the lowest result..

This Master?s thesis examines different retrieval strategies used in cross-language information retrieval (CLIR). The aim was to investigate if there were any differences between baseline queries and translated queries in retrieval effectiveness; how the retrieval effectiveness was affected by query structuring and if the results differed between different languages. The languages used in this study were Swedish, English and Finnish. 30 topics from the TrecUta collection were translated into Swedish and Finnish.

Automatic query expansion has long been studied in information retrieval research as a technique that deals with the fundamental issue of word mismatch between query and document. The purpose of this thesis is to compare the retrieval effectiveness of different strategies for automatic query expansion. The strategies are based on local analysis of the corpus and use statistical information from the local document set to extract terms that suppose to adapt themselves to each individual search and therefore appear to be searchonyms to the index terms. The strategies compared are: association clusters, metric cluster and scalar cluster. Baseline queries of 24 topics are expanded using terms from the different clusters and searches are made.

This Master?s thesis is a comparative study of information retrieval results between three distinct search strategies in simulated automatic query expansion in a bibliographic database. Our purpose is to investigate which of the search strategies score the most effective precision and to what extent the same relevant documents are retrieved (overlapped). A thesaurus attached to the database is used to select appropriate descriptors for the baseline query formulations which subsequently are expanded with hierarchical relations. The search strategies are s1: A baseline query with two or three descriptors, s2: The baseline descriptors combined with at least one Narrower Term, s3: The baseline descriptors combined with Narrower Term and at least one Broader Term.