[[FrontPage]]
**言語教育学演習2014（木３ 前・後期） [#s66093f3]
#contents
***教室 [#h9ccd2fd]
-201教室に変更になりました（5月15日より）
***講義題目（和文） [#p3f948d9]
--コーパスを用いた学習者英語分析と教材作成への応用 (J)
***授業の目標 [#qb27a80b]
--コーパス言語学の基礎的概念の習得とその応用分野としての CEFR 準拠の学習者データのコーパス分析の概要を知る。
***授業の概要 [#ef5fd5b5]
--コーパス言語学の基礎概念をテキストを購読しながら学ぶと同時に，コーパス処理の基礎を習得する。
***授業の計画 [#aaf24698]
--テキストを用いた専門知識の理解と Sketch Engine というコーパス検索システムの使用法に習熟する。
第1回(4/10) イントロダクション：コーパスと言語教材作成
第2回(4/17) コーパス言語学の基礎（１）：コーパスの定義と歴史的変遷 (CBLS Unit A1)
第3回(5/ 1) コーパス言語学の基礎（２）：代表性・バランス・標本 (CBLS Unit A2) + 宿題（Unit A5・A8 --> summary in English)
第4回(5/15) コーパス言語学の基礎（３）：Markup & annotation (CBLS Unit A3 & A4) + 宿題（Unit A7 --> summary in English)
第5回(5/29) コーパス言語学の基礎（４）：コーパスと応用分野 (CBLS Unit A10)
第6回(6/ 5) コーパス言語学の基礎（５）：コーパスと辞書 (CBLS Unit C1) + BNCWeb の基本的な使い方とコロケーション統計
第7回(6/12) コーパス言語学の基礎（６）：コーパスと文法研究 (CBLS Unit C2) + Sketch Engine を使った help (to) の検索実習
第8回(6/19) コーパス言語学の基礎（７）：コーパスと言語習得研究 (CBLS Unit C3)
第9回(6/26) コーパス言語学の基礎（８）：コーパスと翻訳研究 (CBLS Unit C6)
第10回(7/ 3) CEFR準拠の学習者データの分析（１）：CEFR の概要と English Profile
第11回(7/10) CEFR準拠の学習者データの分析（２）：English Profile の学習者データ分析 の概要
第12回 CEFR準拠の学習者データの分析（３）：エラータグ付与の実際
第13回 CEFR準拠の学習者データの分析（４）：基準特性抽出の研究概観
第14回 CEFR準拠の学習者データの分析（５）：学習者コーパスの種類と基礎的な処理 演習
第15回 まとめと検索処理のテスト
***テキスト [#d3f4c1c2]
|ISBN|0415286239|
|書名|Corpus-based language studies : an advanced resource book|
|著者名|McEnery, T., Xiao, R., & Tono, Y.|
|出版社|Routledge|
|出版年|2006|
***PDF [#sdd6219f]
テキストがくるまで以下をダウンロードして利用して下さい：
-[[Chapter A1>http://www.tufs.ac.jp/ts/personal/corpuskun/pdf/2014/CBLS-A1.pdf]]
-[[Chapter A2>http://www.tufs.ac.jp/ts/personal/corpuskun/pdf/2014/CBLS-A2.pdf]]
-[[Chapter A3>http://www.tufs.ac.jp/ts/personal/corpuskun/pdf/2014/CBLS-A3.pdf]]
-[[Chapter A4>http://www.corpus4u.org/forum/upload/forum/2005052212175880.pdf]]
**READING: [#a8ffc990]
***Discussion questions [#ha205653]
-Chapter 1:
--What is a corpus? Discuss some common features by comparing different definitions.
--Why use computers to study language? What is your intuitive answer to this? What other reasons did you find in the text?
--Discuss the use of corpora and the use of intuition. Are they mutually exclusive?
--Is corpus linguistics a methodology or a theory?
--How different are corpus-based vs. corpus-driven approaches? Can you think of any concrete examples?
-Chapter 2:
-2.2
--What is "representativeness"?
--What does it mean when Biber says "Representativeness refers to the extent to which a sample includes the full range of variabilityin a population." (p.13)
--What are "internal" and "external" criteria used to select texts for a corpus? (p.14)
--The authors say that it is problematical to use internal criteria as the primary parameters for the selection of corpus data. Why? (p.14)
--Explain what Biber calls a 'cyclical fashion'? (p.14)
--Static sample corpora, if resampled, may also allow the study of language change over time. (p.15) How?
-2.3
--What are "general" vs. "specialized" corpora? How is representativeness achieved in these corpora?
-2.4
--How is the acceptable balance of a corpus determined?
--Any claim of corpus balance is largely an act of faith. (p.16) What does this mean?
--Explain the design of the British National Corpus, using the terms 'domain', 'time', 'medium', 'demographic' and 'context-governed'. How is it balanced?
--Elaborate on the following statements:
---Representativeness links to research questions. (p.18)
---Representativeness is a fluid concept. (p.18)
-2.5
--Explain the notion of sampling using the following terms:
---sample/ population/ sampling unit/ sampling frame
--What is the difference between 'simple random sampling' and 'stratified random sampling'?
--Describe pros and cons of 'full text samples'
-Chapter 3
-3.2
--What are the three reasons for corpus mark-up? Discuss each case with complete examples.
-3.3
--Here, you should at least familiarize yourself with the following schemes:
---COCOA (dated)
---TEI (current standard) << [[website>http://www.tei-c.org/index.xml]] >>
--> header vs. body
Q1. What does the TEI header specify?
Q2. What kind of information is in the TEI body?
--Corpus Encoding Standard (CES) & XCES << [[website>http://www.xces.org/]] >>
-3.4
--Please read the following webpage for your reference:
---[[Introduction to character encoding>http://www.dotnetnoob.com/2011/12/introduction-to-character-encoding.html]]
-Chapter 4
--What is corpus annotation and how is it different from corpus mark-up?
-4.2
--What are the four advantages for corpus annotation?
--What are some of the criticisms against corpus annotation? What is the authors' response?
-4.3
-Look at concrete examples for each type of annotation:
--POS tagging
---[[Online tagging system by University of Illinois, Urbana Champaign>http://cogcomp.cs.illinois.edu/demo/pos/?id=4]]
--Lemmatization
---[[Online stemmer and lemmatizer (Python NLTK) >http://text-processing.com/demo/stem/]]
--Parsing
---[[Online parser (Stanford)>http://nlp.stanford.edu:8080/parser/]]
--Semantic annotation
---[[Lancaster USAS tag>http://ucrel.lancs.ac.uk/usas/]]
--Coreference annotation
---[[Image of coreference annotation>http://www.bart-coref.org/images/mmax_muc.png]]
--Pragmatic annotation
---[[Examples (MICASE pragmatic tags)>http://www.ualberta.ca/~aacl2009/PDFs/NesiAhmadIbrahim2009AACL.pdf]]
--Stylistic annotation
---[[Example: Speech, Thought & Presentation>http://stylistics.minb.de/index.php?c=Speech%20and%20Thought%20Presentation]]
--Error tagging
---[[Example: Granger (2003)>http://calico.org/html/article_289.pdf]]
--Problem-oriented annotation
-Chapter 5-9
--Make a summary on your own
-Chapter 10
--Summarize the use of corpus data in the following areas briefly
--The major areas of linguistics
---lexicographic and lexical studies (10.2)
---grammatical studies (10.3)
---register variation and genre analysis (10.4)
---dialect distinction and language variety (10.5)
---contrastive and translation studies (10.6)
---diachronic study and language change (10.7)
---language learning and teaching (10.8)
--Other areas which have started to use corpus data
---Semantics (10.9)
---Pragmatics (10.10)
---Sociolinguistics (10.11)
---Discourse analysis (10.12)
---Stylistics and literary studies (10.13)
---Forensic linguistics (10.14)
--What is the limitation of corpus data? (10.15)
**Sketch Engine CQL memo [#me8bd703]
-help + bare infinitives
--Brown Family の CLAWS7 tagset の検索式：
---[lemma="help"] [tag="VVI|VV0"]
-help + to + V
---[lemma="help"] [lemma="to"] [tag="VVI"]
-make + a + adj(optional) + NOUN
---[lemma="make"] [word="a"] [tag="JJ"]? [tag="NN1"]
**カイ2乗検定など [#hdcbd091]
-[[js-STAR>http://www.kisnet.or.jp/nappa/software/star/]]
--web で計算できる統計
**Sample data for error tagging [#maa3863a]
-[[Download>http://www.tufs.ac.jp/ts/personal/corpuskun/data/sample_A2.zip]]
-[[Raw file Download>http://www.tufs.ac.jp/ts/personal/corpuskun/data/sample_A2.zip]]
-[[Tagged file Download>http://www.tufs.ac.jp/ts/personal/corpuskun/data/sample_A2_tagged.zip]]
**TUTORIALS: Corpus query tools [#j37d45ad]
-[[Sketch Engine>http://www.sketchengine.co.uk]]
--学内では IP auth をクリックすれば，どこからでもアクセスできます
-Antconc (for Windows & Mac)
--[[Download>http://www.antlab.sci.waseda.ac.jp/antconc_index.html]]
-Casualconc (for Mac)
--[[Download>https://sites.google.com/site/casualconcj/]]
***Concordance [#m5895ce7]
-[[Tutorial 資料(6/12)>http://www.tufs.ac.jp/ts/personal/corpuskun/pdf/2014/SkETutorial-04.pdf]]
-[[Tutorial 資料(5/29)>http://www.tufs.ac.jp/ts/personal/corpuskun/pdf/2014/SkETutorial-03.pdf]]
-[[Tutorial 資料(5/1)>http://www.tufs.ac.jp/ts/personal/corpuskun/pdf/2014/SkETutorial-02.pdf]]
-[[Tutorial 資料(4/17)>http://www.tufs.ac.jp/ts/personal/corpuskun/pdf/2014/SkETutorial-01.pdf]]
-[[練習問題(5/1)>http://www.tufs.ac.jp/ts/personal/corpuskun/pdf/2014/Drill-01.pdf]]
![[PukiWiki]](image/pukiwiki.png "[PukiWiki]")
