BarlowTalk
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開始行:
[[FrontPage]]
*Connecting texts to [#e60763ab]
**Lack of contexts [#e607b033]
-typical case: Biber
--context is often only referred in terms of the name of ...
-Concordances
--highlight contextual information
---frequency info
---collocations and phraseology
---variation
-Corpus approaches and successes
--lexicogrammar
--usage-based linguistics
--variation across text types
--thing in concordances
---sentence-initial: one thing to do is ... (cataphoric)
---sentence-final: that kind of thing (anaphoric)
--Hoey 2005: Text colligation
--Position variation of ngrams & pframes
---O'Donnell and Romer 2010 (ICAME)
--Link analysis more to contexts, text structures
-Collocate 2.0
--ngrams
---user only selects n
---order by MI, freq
---select sequence, show concordance lines
--P-frames
--lexical bundles
--collocation extraction
---user only selects thresholds and values
---find "collocates" of "collocations" [VERY INTERESTING]
-WordSkew
--idea of a skewed distribution
--divide the texts into x sections
--focus on particular sentences/sections
--compare word distributions over these subcomponents
---get the histograms
---then click on the bars to go to the concordance lines
終了行:
[[FrontPage]]
*Connecting texts to [#e60763ab]
**Lack of contexts [#e607b033]
-typical case: Biber
--context is often only referred in terms of the name of ...
-Concordances
--highlight contextual information
---frequency info
---collocations and phraseology
---variation
-Corpus approaches and successes
--lexicogrammar
--usage-based linguistics
--variation across text types
--thing in concordances
---sentence-initial: one thing to do is ... (cataphoric)
---sentence-final: that kind of thing (anaphoric)
--Hoey 2005: Text colligation
--Position variation of ngrams & pframes
---O'Donnell and Romer 2010 (ICAME)
--Link analysis more to contexts, text structures
-Collocate 2.0
--ngrams
---user only selects n
---order by MI, freq
---select sequence, show concordance lines
--P-frames
--lexical bundles
--collocation extraction
---user only selects thresholds and values
---find "collocates" of "collocations" [VERY INTERESTING]
-WordSkew
--idea of a skewed distribution
--divide the texts into x sections
--focus on particular sentences/sections
--compare word distributions over these subcomponents
---get the histograms
---then click on the bars to go to the concordance lines
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