A Study of Chinese Non-canonical VN Collocations View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2013

AUTHORS

Qiong Wu

ABSTRACT

This paper focuses on Chinese non-canonical VN collocations from the NLP perspective. It first makes a classification of the Chinese non-canonical VN collocations, and then talks about their semantic features. This paper argues that, machine recognition of Chinese non-canonical collocations should not only consider the semantic roles of the objects, but also the verbs. Idioms and chunks should be put into the lexicon directly. A flow chart for the machine recognition is offered at the end of this paper. More... »

PAGES

39-46

Book

TITLE

Chinese Lexical Semantics

ISBN

978-3-642-45184-3
978-3-642-45185-0

Author Affiliations

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-642-45185-0_5

DOI

http://dx.doi.org/10.1007/978-3-642-45185-0_5

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1002395556


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0801", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Artificial Intelligence and Image Processing", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/08", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Information and Computing Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Wuhan University", 
          "id": "https://www.grid.ac/institutes/grid.49470.3e", 
          "name": [
            "College of Chinese Language and Literature, Wuhan University, Wuhan, 430072, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Wu", 
        "givenName": "Qiong", 
        "type": "Person"
      }
    ], 
    "datePublished": "2013", 
    "datePublishedReg": "2013-01-01", 
    "description": "This paper focuses on Chinese non-canonical VN collocations from the NLP perspective. It first makes a classification of the Chinese non-canonical VN collocations, and then talks about their semantic features. This paper argues that, machine recognition of Chinese non-canonical collocations should not only consider the semantic roles of the objects, but also the verbs. Idioms and chunks should be put into the lexicon directly. A flow chart for the machine recognition is offered at the end of this paper.", 
    "editor": [
      {
        "familyName": "Liu", 
        "givenName": "Pengyuan", 
        "type": "Person"
      }, 
      {
        "familyName": "Su", 
        "givenName": "Qi", 
        "type": "Person"
      }
    ], 
    "genre": "chapter", 
    "id": "sg:pub.10.1007/978-3-642-45185-0_5", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": {
      "isbn": [
        "978-3-642-45184-3", 
        "978-3-642-45185-0"
      ], 
      "name": "Chinese Lexical Semantics", 
      "type": "Book"
    }, 
    "name": "A Study of Chinese Non-canonical VN Collocations", 
    "pagination": "39-46", 
    "productId": [
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/978-3-642-45185-0_5"
        ]
      }, 
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "0b67c8a2e75c58d6928eebdf3ced1b8d8f81b72fa318771d7f67ae06df0e8d1d"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1002395556"
        ]
      }
    ], 
    "publisher": {
      "location": "Berlin, Heidelberg", 
      "name": "Springer Berlin Heidelberg", 
      "type": "Organisation"
    }, 
    "sameAs": [
      "https://doi.org/10.1007/978-3-642-45185-0_5", 
      "https://app.dimensions.ai/details/publication/pub.1002395556"
    ], 
    "sdDataset": "chapters", 
    "sdDatePublished": "2019-04-15T20:46", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000001_0000000264/records_8690_00000004.jsonl", 
    "type": "Chapter", 
    "url": "http://link.springer.com/10.1007/978-3-642-45185-0_5"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-45185-0_5'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-45185-0_5'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-45185-0_5'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-45185-0_5'


 

This table displays all metadata directly associated to this object as RDF triples.

69 TRIPLES      22 PREDICATES      27 URIs      20 LITERALS      8 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/978-3-642-45185-0_5 schema:about anzsrc-for:08
2 anzsrc-for:0801
3 schema:author N0996a32e1c704eef9b1f540d1d91fe2a
4 schema:datePublished 2013
5 schema:datePublishedReg 2013-01-01
6 schema:description This paper focuses on Chinese non-canonical VN collocations from the NLP perspective. It first makes a classification of the Chinese non-canonical VN collocations, and then talks about their semantic features. This paper argues that, machine recognition of Chinese non-canonical collocations should not only consider the semantic roles of the objects, but also the verbs. Idioms and chunks should be put into the lexicon directly. A flow chart for the machine recognition is offered at the end of this paper.
7 schema:editor N0c636a3f5c2e4050a4ae0a4b37563e8a
8 schema:genre chapter
9 schema:inLanguage en
10 schema:isAccessibleForFree false
11 schema:isPartOf N72f3377467f34cd09997cf5a48de706f
12 schema:name A Study of Chinese Non-canonical VN Collocations
13 schema:pagination 39-46
14 schema:productId Na0d6796dcccb4f208423d82c32bf4e23
15 Nb31c58427b434711a9995826dfa2387e
16 Nb4ec1a4ce05b4f4ba1ed9a590e9645e6
17 schema:publisher Nf96efc1366ea4d77b3d3a9c569a3bb91
18 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002395556
19 https://doi.org/10.1007/978-3-642-45185-0_5
20 schema:sdDatePublished 2019-04-15T20:46
21 schema:sdLicense https://scigraph.springernature.com/explorer/license/
22 schema:sdPublisher N0a1353db6ada4082bc0268ed43d87d47
23 schema:url http://link.springer.com/10.1007/978-3-642-45185-0_5
24 sgo:license sg:explorer/license/
25 sgo:sdDataset chapters
26 rdf:type schema:Chapter
27 N0996a32e1c704eef9b1f540d1d91fe2a rdf:first N21f7fcc5fef243c290bc78f8b343c565
28 rdf:rest rdf:nil
29 N0a1353db6ada4082bc0268ed43d87d47 schema:name Springer Nature - SN SciGraph project
30 rdf:type schema:Organization
31 N0ba6d7e464a94989b0c4a9102543af2e rdf:first Ncdab067f160c49fe80839616869e4016
32 rdf:rest rdf:nil
33 N0c636a3f5c2e4050a4ae0a4b37563e8a rdf:first N42e8d2d14f014f499f2936582300fb38
34 rdf:rest N0ba6d7e464a94989b0c4a9102543af2e
35 N21f7fcc5fef243c290bc78f8b343c565 schema:affiliation https://www.grid.ac/institutes/grid.49470.3e
36 schema:familyName Wu
37 schema:givenName Qiong
38 rdf:type schema:Person
39 N42e8d2d14f014f499f2936582300fb38 schema:familyName Liu
40 schema:givenName Pengyuan
41 rdf:type schema:Person
42 N72f3377467f34cd09997cf5a48de706f schema:isbn 978-3-642-45184-3
43 978-3-642-45185-0
44 schema:name Chinese Lexical Semantics
45 rdf:type schema:Book
46 Na0d6796dcccb4f208423d82c32bf4e23 schema:name readcube_id
47 schema:value 0b67c8a2e75c58d6928eebdf3ced1b8d8f81b72fa318771d7f67ae06df0e8d1d
48 rdf:type schema:PropertyValue
49 Nb31c58427b434711a9995826dfa2387e schema:name dimensions_id
50 schema:value pub.1002395556
51 rdf:type schema:PropertyValue
52 Nb4ec1a4ce05b4f4ba1ed9a590e9645e6 schema:name doi
53 schema:value 10.1007/978-3-642-45185-0_5
54 rdf:type schema:PropertyValue
55 Ncdab067f160c49fe80839616869e4016 schema:familyName Su
56 schema:givenName Qi
57 rdf:type schema:Person
58 Nf96efc1366ea4d77b3d3a9c569a3bb91 schema:location Berlin, Heidelberg
59 schema:name Springer Berlin Heidelberg
60 rdf:type schema:Organisation
61 anzsrc-for:08 schema:inDefinedTermSet anzsrc-for:
62 schema:name Information and Computing Sciences
63 rdf:type schema:DefinedTerm
64 anzsrc-for:0801 schema:inDefinedTermSet anzsrc-for:
65 schema:name Artificial Intelligence and Image Processing
66 rdf:type schema:DefinedTerm
67 https://www.grid.ac/institutes/grid.49470.3e schema:alternateName Wuhan University
68 schema:name College of Chinese Language and Literature, Wuhan University, Wuhan, 430072, China
69 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...