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draft [2009/07/15 17:50]
147.228.47.190
draft [2009/07/16 09:14]
ptacek
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-====== Description of Czech Companion November Prototype ====== 
  
-The Czech version of Companion deals with the Reminiscing about User's Photos scenario taking advantage of data recorded in first phase of the project. The basic architecture is same as of the English version, i.e. set of modules communicating through the Inamode Relayer (TID) backbone; 
-however the set of modules differs (see Figure 1). Regarding the physical settings: the Czech version runs on two notebook computers connected by local network; one can be seen as a Speech Client, running modules dealing with ASR,TTS and ECA, second as an NLP Server. 
  
-{{user:ptacek:czech_companion_diagram.png.jpg|}}+====== Description of Czech Companion November Demonstrator ======
  
-photopal domenanahranej korpusze na to sou dafy (reusing SHEFF DM intergrated through Inamode Relayer (TID)) vhodny, moreover reusable for expected pomdp DM from UOX (reuse states, let pomdp's do the topology and handle the states transitionspost november work), +The Czech version of the Companion deals with the Reminiscing about User's Photos scenariotaking advantage of data recorded in first phase of the project. The basic architecture is same as of the English versioni.e. set of modules communicating through the Inamode Relayer (TID) backbone; however the set of modules is different (see Figure 1). Regarding the physical settingsthe Czech version runs on two notebook computers connected by local network; one can be seen as a Speech Clientrunning modules dealing with ASR, TTS and ECAsecond as an NLP Server.
-typy odpovedi zpusob jejich implementace +
-NLP server s tectomtASR/TTS/SR clientconnected over network +
-XXX JPta+
  
 +The dialog is driven by a dialog manager component by USFD (originally developed for the English Senior Companion prototype), we supply the transition network (DAFs). The selection is backed by (a) appropriateness for the type of dialog we aim for (the corpus reveals frequent reoccurring topics to be handled by DAFs) , (b) availability of mature package within time frame that allows for integration, (c) possibility of reusing created DAF states, tests and specified actions for the upcoming statistical DM by UOXF (however this is post November work).
  
 +Our DAFs covering selected topics contain not only Companion replies mined from the corpora, but also new human-authored assessments, remarks and glosses to provide longer system utterances in order to encourage user to tell more.
 +
 +{{user:ptacek:czech_companion_diagram.png|}}
  
  
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-===== Speech Reconstruction (WP 5.1 ???) =====+ 
 +===== Speech Reconstruction (WP 5.2) =====
 features: omit filler phrases, remove irrelevant speech events, handle false starts, repetitions, and corrections, polish word ordering features: omit filler phrases, remove irrelevant speech events, handle false starts, repetitions, and corrections, polish word ordering
 performance indicator: BLEU score between actual output and manually reconstructed sentences from corpora (T5.2.1), baseline: Moses with default settings performance indicator: BLEU score between actual output and manually reconstructed sentences from corpora (T5.2.1), baseline: Moses with default settings
 +
  
  
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 ===== Morphology Analyzer and POS tagging (WP 5.2) ===== ===== Morphology Analyzer and POS tagging (WP 5.2) =====
-features: coverage of photo-pal domain, domain adapted tagger (XXX prida nam Jarka OOV slova co najdeme, bude PDTSC rucne oznackovane - do listopadu?)+features: coverage of photo-pal domain, domain adapted tagger **(XXX prida nam Jarka OOV slova co najdeme?? - Mirek uz vyrabi list, bude PDTSC rucne oznackovane - do listopadu?)**
 performance indicator: OOV rate, accuracy performance indicator: OOV rate, accuracy
  
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 ===== Semantic Parsing (WP 5.2) ===== ===== Semantic Parsing (WP 5.2) =====
-features: assignment of semantic roles (69 roles), coordinations, argument structure, partial ellipsis resolution, pronominal anaphora resolution, post parsing detection of ungrammatical edges (caused by long utterances)+features: assignment of semantic roles (69 roles), coordinations, argument structure, partial ellipsis resolution, pronominal anaphora resolution, post parsing detection of ungrammatical edges (caused by long user utterances)
 performance indicator: accuracy (correctly induced edges, labels)  performance indicator: accuracy (correctly induced edges, labels) 
  
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 ===== Named Entities Recognition (WP 5.2) ===== ===== Named Entities Recognition (WP 5.2) =====
-features: detect person names, geographical locations, organizations+features: detect person names, geographical locations, organization names
 performance indicator: f-measure performance indicator: f-measure
  
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 ===== Dialog Act Tagging (WP 5.2) ===== ===== Dialog Act Tagging (WP 5.2) =====
-features: domain tailored tagset (variation of DAMSL-SWBD)+features: domain tailored tag-set (variation of DAMSL-SWBD)
 performance indicator: accuracy performance indicator: accuracy
 +
  
  
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 ===== Emotional TTS (WP 5.5) ===== ===== Emotional TTS (WP 5.5) =====
 features: emotions will be expressed implicitly, through the usage of communicative functions; new female voice database was recorded for this purposes features: emotions will be expressed implicitly, through the usage of communicative functions; new female voice database was recorded for this purposes
-perfomance indicator: listening tests +performance indicator: listening tests  
 + 
  
 ===== Emotional Avatar Integration (WP 5.5) ===== ===== Emotional Avatar Integration (WP 5.5) =====
 +features: new Czech female voice with affective features will be integrated with the TID avatar
 +performance indicator: subjective evaluation of the naturalness and the ability to convey emotions (small-scale, given the time constraint)
 + 
 +
 +
 +--------------cut here----------------
  
-====== AZ PO LISTOPADU ======+====== AZ PO LISTOPADU (NENI SOUCASTI ZPRAVY PRO PO) ======
  
 ===== Syntactic Parsing (WP 5.2) ===== ===== Syntactic Parsing (WP 5.2) =====
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 advances in Czech NLU (on reconstructed spoken data): 300-500vet(?) rucne anotovat pos, a-tree, t-tree, IE predicates, Named Entities, DA pro eval in-domain testy after Nov. advances in Czech NLU (on reconstructed spoken data): 300-500vet(?) rucne anotovat pos, a-tree, t-tree, IE predicates, Named Entities, DA pro eval in-domain testy after Nov.
-pos ? analyzovat, generovat a kontrolovat 'jen' kde je rozdil ve forme?{{user:ptacek:czech_companion_diagram.png.jpg|}}+pos ? analyzovat, generovat a kontrolovat 'jen' kde je rozdil ve forme?

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