Cross-language information retrieval:
Saved in:
| Main Author: | |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
San Rafael, Calif.
Morgan & Claypool
2010
|
| Series: | Synthesis lectures in human language technologies
8 |
| Subjects: | |
| Online Access: | Inhaltsverzeichnis |
| Physical Description: | XV, 125 S. |
| ISBN: | 9781598298635 |
Staff View
MARC
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Record in the Search Index
| _version_ | 1804143227979169792 |
|---|---|
| adam_text | Preface
.....................................................................................................................xiii
1.
Introduction
.......................................................................................................1
1.1
General IR
Problems
...........................................................................................1
1.2
General
IR
Approaches
.......................................................................................2
1.2.1
IR
Models
................................................................................................3
1.2.1.1
Boolean Models
........................................................................3
1.2.1.2
Vector Space Model
..................................................................4
1.2.1.3
Probabilistic Models
..................................................................5
1.2.1.4
Statistical Language Models
.....................................................6
1.2.2
Query Expansion
.....................................................................................8
1.2.3
System Evaluation
.................................................................................10
1.3
Language Problems in
IR
..................................................................................12
1.3.1
European Languages
.............................................................................12
1.3.1.1
Word Stemming
......................................................................12
1.3.1.2
Decompounding
.....................................................................12
1.3.2
East Asian Languages
...........................................................................14
1.3.2.1
Chinese and Word Segmentation
...........................................14
1.3.2.2
Japanese and Korean
...............................................................17
1.3.3
Other Languages
...................................................................................17
1.4
The Problems of Cross-Language Information Retrieval
.................................18
1.4.1
Query Translation vs. Document Translation
........................................19
1.4.2
Using Pivot Language and
Interlingua
..................................................20
1.5
Approaches to Translation in CLIR
..................................................................21
1.6
The Need for Cross-Language and Multilingual
IR
.........................................23
1.7
The History of CLIR
........................................................................................24
CROSS-LANGUAGE INFORMATION
RETRIEVAL
2.
Using Manually Constructed Translation Systems and Resources for CLIR
.........29
2.1
Machine Translation
..........................................................................................29
2.1.1
Rule-Based MT
.....................................................................................30
2.1.2
Statistical MT
........................................................................................32
2.2
Basic utilization of MT in CLIR
.......................................................................37
2.2.1
Rule-Based MT
.....................................................................................39
2.2.2
Statistical MT
........................................................................................41
2.2.3
Unknown Word
.....................................................................................41
2.3
Open the Box of MT
.........................................................................................44
2.4
Dictionary-Based Translation for CLIR
............................................................45
2.4.1
Basic Approaches
...................................................................................46
2.4.2
The Term Weighting Problem
..............................................................47
2.4.3
Coverage of the Dictionary
...................................................................49
2.4.4
Translation Ambiguity
...........................................................................50
2.4.5
Selection of Translation Words
.............................................................50
2.4.6
Other Related Approaches
....................................................................53
3.
Translation Based on Parallel and Comparable Corpora
......................................57
3.1
Parallel Corpora
.................................................................................................57
3.2
Paragraph/Sentence Alignment
.........................................................................60
3.3
Utilization of Translation Models in CLIR
......................................................63
3.4
Embedding Translation Models into CLIR Models
.........................................70
3.5
Alternative Approaches using Parallel Corpora
.................................................75
3.5.1
Exploiting a Parallel Corpus by Pseudo-Relevance Feedback
...............75
3.5.2
Using Latent Semantic Indexing (LSI)
.................................................76
3.5.3
Using Comparable Corpora
...................................................................78
3.6
Discussions on CLIR Methods and Resources
..................................................80
3.7
Mining for Translation Resources and Relations
...............................................81
3.7.1
Mining for Parallel Texts
.......................................................................81
3.7.2
Transliteration
.......................................................................................85
3.7.3
Mining Translations using Hyperlinks
..................................................88
3.7.4
Mining Translations from Monolingual Web Pages
..............................90
4.
Other Methods to Improve CLIR
......................................................................95
4.1
Pre-
and Post-Translation Expansion
................................................................95
4.2
Fuzzy Matching
.................................................................................................96
4.3
Combining Translations
....................................................................................97
4.4
Transitive Translation
............................. .....98
CONTENTS xi
4.5
Integrating Monolingual and
Translingual
Relations
......................................100
4.6
Discussions
......................................................................................................103
5.
A Look into the FuturerToward a Unified View of Monolingual
IR
and CLIR?
.. 105
5.1
What has been Achieved?
...............................................................................105
5.2
Inspiring from Monolingual
IR
.......................................................................106
5.2.1
Parallel Between Query Expansion and Query Translation
.................106
5.2.2
Inspiring Query Translation from Query Expansion
—
An Example...
109
References
...............................................................................................................113
Author Biography
....................................................................................................125
|
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| discipline | Informatik |
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| id | DE-604.BV036619133 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-09T22:44:19Z |
| institution | BVB |
| isbn | 9781598298635 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-020539193 |
| oclc_num | 705738152 |
| open_access_boolean | |
| owner | DE-12 DE-355 DE-BY-UBR |
| owner_facet | DE-12 DE-355 DE-BY-UBR |
| physical | XV, 125 S. |
| publishDate | 2010 |
| publishDateSearch | 2010 |
| publishDateSort | 2010 |
| publisher | Morgan & Claypool |
| record_format | marc |
| series | Synthesis lectures in human language technologies |
| series2 | Synthesis lectures in human language technologies |
| spelling | Nie, Jian-Yun Verfasser (DE-588)142970301 aut Cross-language information retrieval Jian-Yun Nie San Rafael, Calif. Morgan & Claypool 2010 XV, 125 S. txt rdacontent n rdamedia nc rdacarrier Synthesis lectures in human language technologies 8 Mehrsprachigkeit (DE-588)4038403-2 gnd rswk-swf Information Retrieval (DE-588)4072803-1 gnd rswk-swf Information Retrieval (DE-588)4072803-1 s Mehrsprachigkeit (DE-588)4038403-2 s DE-604 Erscheint auch als Online-Ausgabe 978-1-59829-864-2 Synthesis lectures in human language technologies 8 (DE-604)BV035447238 8 Digitalisierung BSB Muenchen application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=020539193&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Nie, Jian-Yun Cross-language information retrieval Synthesis lectures in human language technologies Mehrsprachigkeit (DE-588)4038403-2 gnd Information Retrieval (DE-588)4072803-1 gnd |
| subject_GND | (DE-588)4038403-2 (DE-588)4072803-1 |
| title | Cross-language information retrieval |
| title_auth | Cross-language information retrieval |
| title_exact_search | Cross-language information retrieval |
| title_full | Cross-language information retrieval Jian-Yun Nie |
| title_fullStr | Cross-language information retrieval Jian-Yun Nie |
| title_full_unstemmed | Cross-language information retrieval Jian-Yun Nie |
| title_short | Cross-language information retrieval |
| title_sort | cross language information retrieval |
| topic | Mehrsprachigkeit (DE-588)4038403-2 gnd Information Retrieval (DE-588)4072803-1 gnd |
| topic_facet | Mehrsprachigkeit Information Retrieval |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=020539193&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| volume_link | (DE-604)BV035447238 |
| work_keys_str_mv | AT niejianyun crosslanguageinformationretrieval |