**言語教育学演習2014(木3 前・後期) [#s66093f3]


***教室 [#h9ccd2fd]


***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]
***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]

|書名|Corpus-based language studies : an advanced resource book|
|著者名|McEnery, T., Xiao, R., & Tono, Y.|

***PDF [#sdd6219f]


-[[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: 


--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?


--What are "general" vs. "specialized" corpora? How is representativeness achieved in these corpora?


--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)


--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

--What are the three reasons for corpus mark-up? Discuss each case with complete examples.

--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/]] >>

--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?

--What are the four advantages for corpus annotation?
--What are some of the criticisms against corpus annotation? What is the authors' response?

-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]] 

---[[Online stemmer and lemmatizer (Python NLTK) >http://text-processing.com/demo/stem/]]

---[[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]

--web で計算できる統計

**Sample data for error tagging [#maa3863a]

-[[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)

-Casualconc (for Mac)

***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]]


トップ   編集 差分 バックアップ 添付 複製 名前変更 リロード   新規 一覧 単語検索 最終更新   ヘルプ   最終更新のRSS