网站综合信息 anc.org
- 标题:
- American National Corpus
- 关键字:
- ANC American National Corpus Language Data American English Corpu
- 描述:
- 域名信息
- 域名年龄:23年11个月6天 注册日期:2000年10月25日 到期时间:
邮箱:suderman 电话:+1.8454375985
注册商:Tucows Inc. (R11-LROR)
- 服务器空间
- IP:143.229.7.41 同IP网站2个 详情
地址:美国 瓦瑟大学
- 备案信息
- 备案号:
域名流量Alexa排名
域名注册Whois信息
anc.org
域名年龄: 23年11个月6天注册时间: 2000-10-25
注 册 商: Tucows Inc. (R11-LROR)
注册邮箱: suderman
联系电话: +1.8454375985
获取时间: 2015年05月05日 00:25:00
Domain Name:ANC.ORG
Domain ID: D38488357-LROR
Creation Date: 2000-10-25T10:45:17Z
Updated Date: 2013-10-18T16:19:52Z
Registry Expiry Date: 2018-10-25T10:45:17Z
Sponsoring Registrar:Tucows Inc. (R11-LROR)
Sponsoring Registrar IANA ID: 69
WHOIS Server:
Referral URL:
Domain Status: clientTransferProhibited -- http://www.icann.org/epp#clientTransferProhibited
Domain Status: clientUpdateProhibited -- http://www.icann.org/epp#clientUpdateProhibited
Registrant ID:tumzIjc9MW2IDTOp
Registrant Name:Keith Suderman
Registrant Organization:American National Corpus
Registrant Street: Box 732 124 Raymond Ave
Registrant City:Poughkeepsie
Registrant State/Province:NY
Registrant Postal Code:12604-0732
Registrant Country:US
Registrant Phone:+1.8454375985
Registrant Phone Ext:
Registrant Fax:
Registrant Fax Ext:
Registrant Email:suderman
Admin ID:tuJfOJE0SQNaJGvN
Admin Name:Keith Suderman
Admin Organization:American National Corpus
Admin Street: Box 732 124 Raymond Ave
Admin City:Poughkeepsie
Admin State/Province:NY
Admin Postal Code:12604-0732
Admin Country:US
Admin Phone:+1.8454375985
Admin Phone Ext:
Admin Fax:
Admin Fax Ext:
Admin Email:suderman
Tech ID:tuGmvrQ44EWhbDUN
Tech Name:Technical Contact
Tech Organization:Hover, a service of Tucows Inc.
Tech Street: 96 Mowat Avenue
Tech City:Toronto
Tech State/Province:ON
Tech Postal Code:M6K3M1
Tech Country:CA
Tech Phone:+1.4165385498
Tech Phone Ext:
Tech Fax: +1.4163520113
Tech Fax Ext:
Tech Email:help
Name Server:NS1.CS.VASSAR.EDU
Name Server:NS2.CS.VASSAR.EDU
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DNSSEC:Unsigned
Access to Public Interest Registry WHOIS information is provided to assist persons in determining the contents of a domain name registration record in the Public Interest Registry registry database. The data in this record is provided by Public Interest Registry for informational purposes only, and Public Interest Registry does not guarantee its accuracy. This service is intended only for query-based access. You agree that you will use this data only for lawful purposes and that, under no circumstances will you use this data to(a) allow, enable, or otherwise support the transmission by e-mail, telephone, or facsimile of mass unsolicited, commercial advertising or solicitations to entities other than the data recipient's own existing customers; or (b) enable high volume, automated, electronic processes that send queries or data to the systems of Registry Operator, a Registrar, or Afilias except as reasonably necessary to register domain names or modify existing registrations. All rights reserved. Public Interest Registry reserves the right to modify these terms at any time. By submitting this query, you agree to abide by this policy. For more information on Whois status codes, please visit https://www.icann.org/resources/pages/epp-status-codes-2014-06-16-en.
网站头文件(HTTP Header)
HTTP/1.1 200 OK 访问时间:2012年09月09日 04:28:40 服务器:Apache/2.2.14 (Ubuntu) 接受单位:字节 动作:Accept-Encoding Transfer-Encoding: chunked 类型:text/html; charset=utf-8 网站编码:utf-8
同IP网站(同服务器)
网站首页快照(纯文字版)
抓取时间:2012年09月09日 04:52:34
网址:http://anc.org/
标题:American National Corpus
关键字:ANC, American National Corpus, Language Data, American English, Corpus, Information Retrieval,Parsing, Sense Disambigua
描述:
主体:
网址:http://anc.org/
标题:American National Corpus
关键字:ANC, American National Corpus, Language Data, American English, Corpus, Information Retrieval,Parsing, Sense Disambigua
描述:
主体:
15em 7em distributions oanc masc resources about first release second release open anc about contents encoding frequency data using xaira bugs & caveats obtaining contributing contents encoding frequency data using Xaira bugs & caveats contents using annotations download home overview masc I download annotations software source code frequency data publications contributor's FAQ project people anc mailing list contact us site map Join us on Facebook What's New OANC in GrAF format The full 15 million word OANC is now available in GrAF format. GrAF is the ISO standard serialization format for standoff annotations over linguistic data. GrAF annotations can be loaded into annotation tools such as GATE and UIMA and/or transduced to other formats using ANC2Go. Please consult the latest draft of the ISO TC37 SC4 Linguistic Annotation Framework for details about GrAF. BBN Named Entity annotations of the OANC Inline named entity annotation produced by the BBN tagger are now available. A rendering of the annotations in GrAF to enable merging with other OANC annotations is forthcoming. Contributed by Sameer Pradhan. Syntactic parses of 11 million words of OANC data Three syntactic parses of 11 million words of the OANC, using the Charniak & Johnson (2005) parser, MaltParser, and LHT dependency converter, have been contributed by Rasul Kalajahi. ANC UIMAUtils With funding from an IBM UIMA Innovation Award, we have developed tools to enable import and export of OANC and MASC annotations in GrAF format in UIMA. MASC V1.0.3 Revision of MASC 1 annotations, fixes a few errors. This version will soon be distributed by the Linguistic Data Consortium. ANC2Go We provide a web application that allows uers to select the texts and annotations they want and obtain them in any of several different formats. The First Release of the Manually Annotated Sub-Corpus (MASC) MASC I consists of approximately 82,000 words drawn from the OANC. The corpus includes manual annotations for WordNet senses and fulltext FrameNet frame annotations, and validated annotations for token and sentence boundaries, part of speech, noun chunks, verb chunks, named entities, and Penn Treebank syntactic annotation. The corpus includes texts from the Language Understanding Corpus, and many of the LU Corpus annoations are also included in MASC. In addition, about half of the corpus was annotated in the Unified Linguistic Annotation (ULA) project, and annotations for opinion, PropBank, and TimeML are either included in MASC I or forthcoming. All annotations, both in-house and contributed, are in LAF/GrAF format and can therefore be merged or combined using the ANC Tool and transduced to other formats using ANC2Go. OANC NGram Search Engine A beta version of the OANC Ngram Search Engine, created by Satoshi Sekine using his Linguistic Knowledge Discovery Tool, is available. We will be porting the engine to its permanent home on the ANC server this summer. ANC in the News The ANC has
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