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--- langtech:nlp [2023/01/31 13:14] – Gerold Schneider
+++ langtech:nlp [2023/02/02 13:26] (current) – johannes.graen.uzh.ch
@@ Line 1: / Line 1: @@
-Back to [[https://www.liri.uzh.ch/en.html|Linguistic Research Infrastructure]] (LiRI)
 ====== Natural Language Processing ======
-The Natural Language Prcessing Group (NLP) continues the services of the Text Crunching Centre (TCC).
-=== Services of the NLP group ===
 If any of the following applies to you, you are in the right place:
   * As a researcher, do you want to base your empirical findings on linguistic data such as text collections or voice recordings?
-  * Does your company need help in collecting, managing, processing, or visualising linguistic data?
+  * Does your team need help in collecting, managing, processing, or visualising linguistic data?
   * Do you want to automate tedious manual tasks?
   * Do you intend to make your documents machine-readable?
-  * Do you want to detect historical trends, political leanings, and personal stance?
+  * Do you want to detect historical trends, political leanings, and personal stance in natural language data?
-  * Do you have an interesting application in mind which is built on text or recordings or eye-tracking data?
+  * Do you have an interesting application in mind which is built on text, audio recordings or eye-tracking data?
-  * Does you want to use semantic anaylsis methods like collocations, word embedding and Neural Networks?
+  * Do you want to use semantic analysis methods like collocations, word embeddings and Neural Networks?
   * Do you want to get started implementing language technology solutions yourself?
-  * Do you have historical documents that you are looking to digitalize?
+  * Do you have historical documents that you are looking to digitize?
 If you need help with the technological side of things, we are here for you!
@@ Line 39: / Line 33: @@
 We offer consulting, coaching, and support in the following scenarios (among others):
-  * Digitalization of printed texts and manuscripts including OCR
+  * Digitization of printed texts and manuscripts (including OCR)
   * Efficient information extraction and analysis of large text collections
-  * Enrichment of texts with named entities, sentiment analysis, topic modeling, and classification, including multilingual and historical texts
+  * Enrichment of texts with named entities, sentiment analysis, topic modeling, and classification, including multilingual and historical documents
   * Advice on tools, software, and best practices
   * Help with project applications and common projects
-=== Teasers from our Research ===
-== Coaching and Teaching ==
+===== Teasers from our Research =====
-Example from a Worskshop Teaching Content Analysis with R
+==== Coaching and Teaching ====
-{{:langtech:picture_coaching.png?600|}}
+Example from a Worskshop, teaching Content Analysis with R
-== Semantic Analysis ==
+{{coaching.png?600|}}
+----
+==== Semantic Analysis ====
 Example of a Result: Conceptual Map of Associations to Wine, Cider and Beer
-{{:langtech:picture_cider_wine_beer.png?600|}}
+{{cider_wine_beer.png?600|}}
+----
-== Stylistics ==
+==== Stylistics ====
 Characterisation of the Language of Donald Trump
-{{:langtech:picture_trump1.png?400|}}
+{{trump1.png?400|}}
-{{:langtech:picture_trump2.png?400|}}
+{{trump2.png?400|}}
+https://www.blick.ch/news/linguistik-trumps-sprache-einfach-sprunghaft-und-emotional-id16163332.html
+----
+==== Examples of our work ====
+Speech-to-text backend for virtual telephone switchboard
+{{vr_telefonzentrale.png?600|}}
+[[https://www.ds.uzh.ch/de/projekte/vr.html]]