### Abstract

Original language | American English |
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Title of host publication | Various criteria of collocation cohesion in internet: Comparison of resolving power |

Pages | 64-72 |

Number of pages | 56 |

ISBN (Electronic) | 354078134X, 9783540781349 |

DOIs | |

State | Published - 27 Aug 2008 |

Event | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) - Duration: 1 Jan 2014 → … |

### Publication series

Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Volume | 4919 LNCS |

ISSN (Print) | 0302-9743 |

### Conference

Conference | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Period | 1/01/14 → … |

### Fingerprint

### Cite this

*Various criteria of collocation cohesion in internet: Comparison of resolving power*(pp. 64-72). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4919 LNCS). https://doi.org/10.1007/978-3-540-78135-6_6

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*Various criteria of collocation cohesion in internet: Comparison of resolving power.*Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4919 LNCS, pp. 64-72, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 1/01/14. https://doi.org/10.1007/978-3-540-78135-6_6

**Various criteria of collocation cohesion in internet: Comparison of resolving power.** / Bolshakov, Igor A.; Bolshakova, Elena I.; Kotlyarov, Alexey P.; Gelbukh, Alexander.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Various criteria of collocation cohesion in internet: Comparison of resolving power

AU - Bolshakov, Igor A.

AU - Bolshakova, Elena I.

AU - Kotlyarov, Alexey P.

AU - Gelbukh, Alexander

PY - 2008/8/27

Y1 - 2008/8/27

N2 - For extracting collocations from the Internet, it is necessary to numerically estimate the cohesion between potential collocates. Mutual Information cohesion measure (MI) based on numbers of collocate occurring closely together (N 12) and apart (N 1, N 2) is well known, but the Web page statistics deprives MI of its statistical validity. We propose a family of different measures that depend on N 1, N 2 and N 12 in a similar monotonic way and possess the scalability feature of MI. We apply the new criteria for a collection of N 1, N 2, and N 12 obtained from AltaVista for links between a few tens of English nouns and several hundreds of their modifiers taken from Oxford Collocations Dictionary. The 'noun-its own adjective' pairs are true collocations and their measure values form one distribution. The 'noun-alien adjective' pairs are false collocations and their measure values form another distribution. The discriminating threshold is searched for to minimize the sum of probabilities for errors of two possible types. The resolving power of a criterion is equal to the minimum of the sum. The best criterion delivering minimum minimorum is found. © 2008 Springer-Verlag Berlin Heidelberg.

AB - For extracting collocations from the Internet, it is necessary to numerically estimate the cohesion between potential collocates. Mutual Information cohesion measure (MI) based on numbers of collocate occurring closely together (N 12) and apart (N 1, N 2) is well known, but the Web page statistics deprives MI of its statistical validity. We propose a family of different measures that depend on N 1, N 2 and N 12 in a similar monotonic way and possess the scalability feature of MI. We apply the new criteria for a collection of N 1, N 2, and N 12 obtained from AltaVista for links between a few tens of English nouns and several hundreds of their modifiers taken from Oxford Collocations Dictionary. The 'noun-its own adjective' pairs are true collocations and their measure values form one distribution. The 'noun-alien adjective' pairs are false collocations and their measure values form another distribution. The discriminating threshold is searched for to minimize the sum of probabilities for errors of two possible types. The resolving power of a criterion is equal to the minimum of the sum. The best criterion delivering minimum minimorum is found. © 2008 Springer-Verlag Berlin Heidelberg.

UR - https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=49949100097&origin=inward

UR - https://www.scopus.com/inward/citedby.uri?partnerID=HzOxMe3b&scp=49949100097&origin=inward

U2 - 10.1007/978-3-540-78135-6_6

DO - 10.1007/978-3-540-78135-6_6

M3 - Conference contribution

SN - 354078134X

SN - 9783540781349

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 64

EP - 72

BT - Various criteria of collocation cohesion in internet: Comparison of resolving power

ER -