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L-O-P-E in Blog

My research notes on Linguistic Ontology, natural language Processing and E-humanities

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PAGE TITLE
L-O-P-E in Blog | hanzinet.blogspot.com Reviews
<META>
DESCRIPTION
My research notes on Linguistic Ontology, natural language Processing and E-humanities
<META>
KEYWORDS
1 l o p e in blog
2 新辭典的時代
3 她們團隊做的 wordnik
4 計畫,也促成了我們做 cwm
5 張貼者: shukai
6 no comments
7 我個人覺得,我們對於語言資源未來可以投入的重點,
8 跟幾個關鍵字有關:
9 雲端儲存與運算環境 clouds
10 zh tw/apis/predict/
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l o p e in blog,新辭典的時代,她們團隊做的 wordnik,計畫,也促成了我們做 cwm,張貼者: shukai,no comments,我個人覺得,我們對於語言資源未來可以投入的重點,,跟幾個關鍵字有關:,雲端儲存與運算環境 clouds,zh tw/apis/predict/,上有一個有趣的介紹影片可以參考,那,有趣的地方在哪?,可以把它當成是黑盒子,由成效與後續處理來決定其優劣,你如果真要知道黑盒子裡有什麼,大概就是以下的綜合體,也讓人搭肩,產生槓桿作用,只要是分類預測與迴歸,都可以
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L-O-P-E in Blog | hanzinet.blogspot.com Reviews

https://hanzinet.blogspot.com

My research notes on Linguistic Ontology, natural language Processing and E-humanities

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hanzinet.blogspot.com hanzinet.blogspot.com
1

L-O-P-E in Blog: February 2009

http://hanzinet.blogspot.com/2009_02_01_archive.html

My research notes on Linguistic Ontology, natural language Processing and E-humanities. Sunday, February 22, 2009. AuthorMapper – Linguistics – Scientific Author Locations. AuthorMapper – Linguistics – Scientific Author Locations. Wednesday, February 11, 2009. Making sense of number sense. Gorard. (2006). Using everyday numbers effectively in research. A good thing. I think the field of LT (Language Technology ) should be more open to work that mixes data of all kinds in searching for better solutions.

2

L-O-P-E in Blog: 學習語言

http://hanzinet.blogspot.com/2011/07/blog-post.html

My research notes on Linguistic Ontology, natural language Processing and E-humanities. Saturday, July 23, 2011. 12300;學習語言」是什麼意思?回答此問題,免不了必須先定義「語言」,或是比較方便一點去看,「語言」怎麼被「表達」(represent)出來。這樣想的話,我們有的一種重要的觀看素材,就是「語料」(linguistic data)。 觀看「語料」的一個形式角度,就是把語料看成是字串的組合學(stringology)。這樣下去,就可以再談「語言學習」的機制,或演算法是有哪些可能? 我覺得,從機器學習的角度,人類學習語言的方式與經驗固然值得參考,但是是不是最好的學語言的方式,就很難說。當然我們要先有對於學習的評測(evaluation)有合理的基準,或定義。(叉開說,我覺得絕大多數的討論,都跟定義、立場息息相關). 標籤: Text Processing Technology. Subscribe to: Post Comments (Atom).

3

L-O-P-E in Blog: October 2011

http://hanzinet.blogspot.com/2011_10_01_archive.html

My research notes on Linguistic Ontology, natural language Processing and E-humanities. Monday, October 17, 2011. My two cents on Language Resources and Evaluation. 趁著投稿 LREC 之際,以下跟大家分享我這一陣子的一些觀察與心得。 混搭 (mashup)、個體化 (individualized)、與標記的多模組化 (multi-layered annotation)。 而相應的評測 (evaluation) 新趨勢,則與重製 (reproducible)、與人本 (humans-oriented) 導向有關。而這一切,都逃離不了大規模語料的處理工作,亦即,. 每個主題,都可以談出許多東西。特別是雲端概念下, BigTable 與 BigQuery 對於詞彙資源的影響,更是有趣。 先跟大家介紹一個最近我自己也在了解的的技術,叫做 Google Prediction API。 我們甚至可以做成一個 web 介面。 除了語言研究,...

4

L-O-P-E in Blog: [Grammatical Inference: Colin de la Higuera]: Notes

http://hanzinet.blogspot.com/2011/07/grammatical-inference-colin-de-la.html

My research notes on Linguistic Ontology, natural language Processing and E-humanities. Saturday, July 23, 2011. Grammatical Inference: Colin de la Higuera]: Notes. What really matters is the data and the relationship between the data and the induced grammar, whereas in. The actual learning process is what is central and is being examined and measured, not just the result of the process. Linguistic data: string, tree and graph. 標籤: Text Processing Technology. Subscribe to: Post Comments (Atom).

5

L-O-P-E in Blog: November 2011

http://hanzinet.blogspot.com/2011_11_01_archive.html

My research notes on Linguistic Ontology, natural language Processing and E-humanities. Saturday, November 19, 2011. 剛剛又看了一次 Erin McKean 在 2007 的演講,相當逗趣,也頗有洞見。其中有兩點我特別同意。一個是當詞彙被使用了,它就有生命,就是「real」。另外一點是,她提到的所謂 ham-butt problem。我們比較注意到我們要定義的對象,很少察覺到我們所藉以定義所需的工具及其限制,或演化。 Chinese Word Map) 的想法。雖然才剛開始,但是我想一個新辭典的時代已經來臨。 Subscribe to: Posts (Atom). Chinese Cloud Corpus (C3). Picture Window template. Powered by Blogger.

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L-O-P-E in Blog

My research notes on Linguistic Ontology, natural language Processing and E-humanities. Saturday, November 19, 2011. 剛剛又看了一次 Erin McKean 在 2007 的演講,相當逗趣,也頗有洞見。其中有兩點我特別同意。一個是當詞彙被使用了,它就有生命,就是「real」。另外一點是,她提到的所謂 ham-butt problem。我們比較注意到我們要定義的對象,很少察覺到我們所藉以定義所需的工具及其限制,或演化。 Chinese Word Map) 的想法。雖然才剛開始,但是我想一個新辭典的時代已經來臨。 Monday, October 17, 2011. My two cents on Language Resources and Evaluation. 趁著投稿 LREC 之際,以下跟大家分享我這一陣子的一些觀察與心得。 先跟大家介紹一個最近我自己也在了解的的技術,叫做 Google Prediction API。 65288;又一個神奇之物!)去&#1...直接用其 Google...

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