As online information grows dramatically, search engines such as Google are playing a more and more important role in our lives. Critical to all search engines is the problem of designing an effective retrieval model that can rank documents accurately for a given query. This has been a central resea
Statistical language models for information retrieval
β Scribed by ChengXiang Zhai
- Publisher
- Morgan and Claypool Publishers
- Year
- 2008
- Tongue
- English
- Leaves
- 141
- Series
- Synthesis Lectures on Human Language Technologies
- Category
- Library
No coin nor oath required. For personal study only.
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As online information grows dramatically, search engines such as Google are playing a more and more important role in our lives. Critical to all search engines is the problem of designing an effective retrieval model that can rank documents accurately for a given query. This has been a central resea
ΠΠ· ΡΠ΅ΡΠΈΠΈ Foundations and Trends in Information Retrieval ΠΈΠ·Π΄Π°ΡΠ΅Π»ΡΡΡΠ²Π° NOWPress, 2009, -77 pp.<div class="bb-sep"></div>Statistical language models have recently been successfully applied to many information retrieval problems. A great deal of recent work has shown that statistical language models no
<p>A statisticallanguage model, or more simply a language model, is a probΒ abilistic mechanism for generating text. Such adefinition is general enough to include an endless variety of schemes. However, a distinction should be made between generative models, which can in principle be used to synthes