Lexical Ambiguity Resolution:
The most frequently used words in English are highly ambiguous; for example, Webster's Ninth New Collegiate Dictionary lists 94 meanings for the word "run" as a verb alone. Yet people rarely notice this ambiguity. Solving this puzzle has commanded the efforts of cognitive scientists f...
Gespeichert in:
| Beteiligte Personen: | , , |
|---|---|
| Körperschaft: | |
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
[Erscheinungsort nicht ermittelbar]
Morgan Kaufmann
2013
|
| Ausgabe: | 1st edition. |
| Schlagwörter: | |
| Links: | https://learning.oreilly.com/library/view/-/9780934613507/?ar |
| Zusammenfassung: | The most frequently used words in English are highly ambiguous; for example, Webster's Ninth New Collegiate Dictionary lists 94 meanings for the word "run" as a verb alone. Yet people rarely notice this ambiguity. Solving this puzzle has commanded the efforts of cognitive scientists for many years. The solution most often identified is "context": we use the context of utterance to determine the proper meanings of words and sentences. The problem then becomes specifying the nature of context and how it interacts with the rest of an understanding system. The difficulty becomes especially apparent in the attempt to write a computer program to understand natural language. Lexical ambiguity resolution (LAR), then, is one of the central problems in natural language and computational semantics research. A collection of the best research on LAR available, this volume offers eighteen original papers by leading scientists. Part I, Computer Models, describes nine attempts to discover the processes necessary for disambiguation by implementing programs to do the job. Part II, Empirical Studies, goes into the laboratory setting to examine the nature of the human disambiguation mechanism and the structure of ambiguity itself. A primary goal of this volume is to propose a cognitive science perspective arising out of the conjunction of work and approaches from neuropsychology, psycholinguistics, and artificial intelligence--thereby encouraging a closer cooperation and collaboration among these fields. Lexical Ambiguity Resolution is a valuable and accessible source book for students and cognitive scientists in AI, psycholinguistics, neuropsychology, or theoretical linguistics. |
| Umfang: | 1 Online-Ressource (518 Seiten) |
| ISBN: | 9780934613507 |
Internformat
MARC
| LEADER | 00000cam a22000002c 4500 | ||
|---|---|---|---|
| 001 | ZDB-30-ORH-048572993 | ||
| 003 | DE-627-1 | ||
| 005 | 20240228120804.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 191206s2013 xx |||||o 00| ||eng c | ||
| 020 | |a 9780934613507 |9 978-0-934613-50-7 | ||
| 035 | |a (DE-627-1)048572993 | ||
| 035 | |a (DE-599)KEP048572993 | ||
| 035 | |a (ORHE)9780934613507 | ||
| 035 | |a (DE-627-1)048572993 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rda | ||
| 041 | |a eng | ||
| 082 | 0 | |a 401.41 |2 19/eng/20231120 | |
| 100 | 1 | |a Small, Steven |e VerfasserIn |4 aut | |
| 245 | 1 | 0 | |a Lexical Ambiguity Resolution |c Small, Steven |
| 250 | |a 1st edition. | ||
| 264 | 1 | |a [Erscheinungsort nicht ermittelbar] |b Morgan Kaufmann |c 2013 | |
| 300 | |a 1 Online-Ressource (518 Seiten) | ||
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a Computermedien |b c |2 rdamedia | ||
| 338 | |a Online-Ressource |b cr |2 rdacarrier | ||
| 520 | |a The most frequently used words in English are highly ambiguous; for example, Webster's Ninth New Collegiate Dictionary lists 94 meanings for the word "run" as a verb alone. Yet people rarely notice this ambiguity. Solving this puzzle has commanded the efforts of cognitive scientists for many years. The solution most often identified is "context": we use the context of utterance to determine the proper meanings of words and sentences. The problem then becomes specifying the nature of context and how it interacts with the rest of an understanding system. The difficulty becomes especially apparent in the attempt to write a computer program to understand natural language. Lexical ambiguity resolution (LAR), then, is one of the central problems in natural language and computational semantics research. A collection of the best research on LAR available, this volume offers eighteen original papers by leading scientists. Part I, Computer Models, describes nine attempts to discover the processes necessary for disambiguation by implementing programs to do the job. Part II, Empirical Studies, goes into the laboratory setting to examine the nature of the human disambiguation mechanism and the structure of ambiguity itself. A primary goal of this volume is to propose a cognitive science perspective arising out of the conjunction of work and approaches from neuropsychology, psycholinguistics, and artificial intelligence--thereby encouraging a closer cooperation and collaboration among these fields. Lexical Ambiguity Resolution is a valuable and accessible source book for students and cognitive scientists in AI, psycholinguistics, neuropsychology, or theoretical linguistics. | ||
| 650 | 0 | |a Mathematics | |
| 650 | 0 | |a Science | |
| 650 | 2 | |a Mathematics | |
| 650 | 2 | |a Science | |
| 650 | 4 | |a Mathématiques | |
| 650 | 4 | |a Sciences | |
| 650 | 4 | |a sciences (philosophy) | |
| 650 | 4 | |a science (modern discipline) | |
| 650 | 4 | |a Mathematics | |
| 650 | 4 | |a Science | |
| 700 | 1 | |a Cottrell, Garrison |e VerfasserIn |4 aut | |
| 700 | 1 | |a Tanenhaus, Michael |e VerfasserIn |4 aut | |
| 710 | 2 | |a O'Reilly for Higher Education (Firm) |e MitwirkendeR |4 ctb | |
| 966 | 4 | 0 | |l DE-91 |p ZDB-30-ORH |q TUM_PDA_ORH |u https://learning.oreilly.com/library/view/-/9780934613507/?ar |m X:ORHE |x Aggregator |z lizenzpflichtig |3 Volltext |
| 912 | |a ZDB-30-ORH | ||
| 912 | |a ZDB-30-ORH | ||
| 951 | |a BO | ||
| 912 | |a ZDB-30-ORH | ||
| 049 | |a DE-91 | ||
Datensatz im Suchindex
| DE-BY-TUM_katkey | ZDB-30-ORH-048572993 |
|---|---|
| _version_ | 1829007760628383744 |
| adam_text | |
| any_adam_object | |
| author | Small, Steven Cottrell, Garrison Tanenhaus, Michael |
| author_corporate | O'Reilly for Higher Education (Firm) |
| author_corporate_role | ctb |
| author_facet | Small, Steven Cottrell, Garrison Tanenhaus, Michael O'Reilly for Higher Education (Firm) |
| author_role | aut aut aut |
| author_sort | Small, Steven |
| author_variant | s s ss g c gc m t mt |
| building | Verbundindex |
| bvnumber | localTUM |
| collection | ZDB-30-ORH |
| ctrlnum | (DE-627-1)048572993 (DE-599)KEP048572993 (ORHE)9780934613507 |
| dewey-full | 401.41 |
| dewey-hundreds | 400 - Language |
| dewey-ones | 401 - Philosophy and theory |
| dewey-raw | 401.41 |
| dewey-search | 401.41 |
| dewey-sort | 3401.41 |
| dewey-tens | 400 - Language |
| discipline | Sprachwissenschaft |
| edition | 1st edition. |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>03230cam a22004932c 4500</leader><controlfield tag="001">ZDB-30-ORH-048572993</controlfield><controlfield tag="003">DE-627-1</controlfield><controlfield tag="005">20240228120804.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">191206s2013 xx |||||o 00| ||eng c</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9780934613507</subfield><subfield code="9">978-0-934613-50-7</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627-1)048572993</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)KEP048572993</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ORHE)9780934613507</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627-1)048572993</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">401.41</subfield><subfield code="2">19/eng/20231120</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Small, Steven</subfield><subfield code="e">VerfasserIn</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Lexical Ambiguity Resolution</subfield><subfield code="c">Small, Steven</subfield></datafield><datafield tag="250" ind1=" " ind2=" "><subfield code="a">1st edition.</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">[Erscheinungsort nicht ermittelbar]</subfield><subfield code="b">Morgan Kaufmann</subfield><subfield code="c">2013</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (518 Seiten)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">The most frequently used words in English are highly ambiguous; for example, Webster's Ninth New Collegiate Dictionary lists 94 meanings for the word "run" as a verb alone. Yet people rarely notice this ambiguity. Solving this puzzle has commanded the efforts of cognitive scientists for many years. The solution most often identified is "context": we use the context of utterance to determine the proper meanings of words and sentences. The problem then becomes specifying the nature of context and how it interacts with the rest of an understanding system. The difficulty becomes especially apparent in the attempt to write a computer program to understand natural language. Lexical ambiguity resolution (LAR), then, is one of the central problems in natural language and computational semantics research. A collection of the best research on LAR available, this volume offers eighteen original papers by leading scientists. Part I, Computer Models, describes nine attempts to discover the processes necessary for disambiguation by implementing programs to do the job. Part II, Empirical Studies, goes into the laboratory setting to examine the nature of the human disambiguation mechanism and the structure of ambiguity itself. A primary goal of this volume is to propose a cognitive science perspective arising out of the conjunction of work and approaches from neuropsychology, psycholinguistics, and artificial intelligence--thereby encouraging a closer cooperation and collaboration among these fields. Lexical Ambiguity Resolution is a valuable and accessible source book for students and cognitive scientists in AI, psycholinguistics, neuropsychology, or theoretical linguistics.</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Mathematics</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Science</subfield></datafield><datafield tag="650" ind1=" " ind2="2"><subfield code="a">Mathematics</subfield></datafield><datafield tag="650" ind1=" " ind2="2"><subfield code="a">Science</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Mathématiques</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Sciences</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">sciences (philosophy)</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">science (modern discipline)</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Mathematics</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Science</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Cottrell, Garrison</subfield><subfield code="e">VerfasserIn</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Tanenhaus, Michael</subfield><subfield code="e">VerfasserIn</subfield><subfield code="4">aut</subfield></datafield><datafield tag="710" ind1="2" ind2=" "><subfield code="a">O'Reilly for Higher Education (Firm)</subfield><subfield code="e">MitwirkendeR</subfield><subfield code="4">ctb</subfield></datafield><datafield tag="966" ind1="4" ind2="0"><subfield code="l">DE-91</subfield><subfield code="p">ZDB-30-ORH</subfield><subfield code="q">TUM_PDA_ORH</subfield><subfield code="u">https://learning.oreilly.com/library/view/-/9780934613507/?ar</subfield><subfield code="m">X:ORHE</subfield><subfield code="x">Aggregator</subfield><subfield code="z">lizenzpflichtig</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-ORH</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-ORH</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">BO</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-ORH</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-91</subfield></datafield></record></collection> |
| id | ZDB-30-ORH-048572993 |
| illustrated | Not Illustrated |
| indexdate | 2025-04-10T09:35:25Z |
| institution | BVB |
| isbn | 9780934613507 |
| language | English |
| open_access_boolean | |
| owner | DE-91 DE-BY-TUM |
| owner_facet | DE-91 DE-BY-TUM |
| physical | 1 Online-Ressource (518 Seiten) |
| psigel | ZDB-30-ORH TUM_PDA_ORH ZDB-30-ORH |
| publishDate | 2013 |
| publishDateSearch | 2013 |
| publishDateSort | 2013 |
| publisher | Morgan Kaufmann |
| record_format | marc |
| spelling | Small, Steven VerfasserIn aut Lexical Ambiguity Resolution Small, Steven 1st edition. [Erscheinungsort nicht ermittelbar] Morgan Kaufmann 2013 1 Online-Ressource (518 Seiten) Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The most frequently used words in English are highly ambiguous; for example, Webster's Ninth New Collegiate Dictionary lists 94 meanings for the word "run" as a verb alone. Yet people rarely notice this ambiguity. Solving this puzzle has commanded the efforts of cognitive scientists for many years. The solution most often identified is "context": we use the context of utterance to determine the proper meanings of words and sentences. The problem then becomes specifying the nature of context and how it interacts with the rest of an understanding system. The difficulty becomes especially apparent in the attempt to write a computer program to understand natural language. Lexical ambiguity resolution (LAR), then, is one of the central problems in natural language and computational semantics research. A collection of the best research on LAR available, this volume offers eighteen original papers by leading scientists. Part I, Computer Models, describes nine attempts to discover the processes necessary for disambiguation by implementing programs to do the job. Part II, Empirical Studies, goes into the laboratory setting to examine the nature of the human disambiguation mechanism and the structure of ambiguity itself. A primary goal of this volume is to propose a cognitive science perspective arising out of the conjunction of work and approaches from neuropsychology, psycholinguistics, and artificial intelligence--thereby encouraging a closer cooperation and collaboration among these fields. Lexical Ambiguity Resolution is a valuable and accessible source book for students and cognitive scientists in AI, psycholinguistics, neuropsychology, or theoretical linguistics. Mathematics Science Mathématiques Sciences sciences (philosophy) science (modern discipline) Cottrell, Garrison VerfasserIn aut Tanenhaus, Michael VerfasserIn aut O'Reilly for Higher Education (Firm) MitwirkendeR ctb |
| spellingShingle | Small, Steven Cottrell, Garrison Tanenhaus, Michael Lexical Ambiguity Resolution Mathematics Science Mathématiques Sciences sciences (philosophy) science (modern discipline) |
| title | Lexical Ambiguity Resolution |
| title_auth | Lexical Ambiguity Resolution |
| title_exact_search | Lexical Ambiguity Resolution |
| title_full | Lexical Ambiguity Resolution Small, Steven |
| title_fullStr | Lexical Ambiguity Resolution Small, Steven |
| title_full_unstemmed | Lexical Ambiguity Resolution Small, Steven |
| title_short | Lexical Ambiguity Resolution |
| title_sort | lexical ambiguity resolution |
| topic | Mathematics Science Mathématiques Sciences sciences (philosophy) science (modern discipline) |
| topic_facet | Mathematics Science Mathématiques Sciences sciences (philosophy) science (modern discipline) |
| work_keys_str_mv | AT smallsteven lexicalambiguityresolution AT cottrellgarrison lexicalambiguityresolution AT tanenhausmichael lexicalambiguityresolution AT oreillyforhighereducationfirm lexicalambiguityresolution |