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--- draft [2009/07/16 09:50]
ptacek
+++ draft [2009/09/30 18:36]
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-====== Progress Report ======
+====== Architecture Description ======
-[[Progress Report]] - dal jsem to na zvlastni stranku, abysme si nelezli do zeli
+The Czech Companion follows the original idea of Reminiscing about the User's Photos,
+taking advantage of the data collected in the first phase of the project (using a Wizard-of-Oz setting). The full recorded corpora was transcribed, manual speech reconstruction was done on 92.6% of utterances((Manual speech reconstruction is still in progress.)) and a pilot dialog acts annotation was performed on sample of 1000 sentences.
+The architecture is the same as in the English version, i.e. a set of modules communicating through the Inamode (TID) backbone. However, the set of modules is different, see Figure 1. Regarding the physical settings, the Czech version runs on two notebook computers connected by a local network. One serves as a Speech Client, running modules dealing with ASR, TTS and ECA; the other one as an NLP Server.
-====== Description of Czech Companion November Demonstrator ======
+The NLU pipeline, DM, and NLG modules at the NLP Server are implemented using a CU's own TectoMT platform that provides access to a single in-memory data representation through common API. This eliminates the overhead of repeated serialization and XML parsing that an Inamode based solution would impose otherwise.
-The Czech version of the 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 is different (see Figure 1). Regarding the physical settings, the Czech version runs on two notebook computers connected by a local network; one can be seen as a Speech Client, running modules dealing with ASR, TTS and ECA, second as an NLP Server.
+The Knowledge Base consists of objects (persons, events, photos) that model the information acquainted in the course of dialog. Those objects also provide very basic reasoning (e.g. accounting for the link between date of birth and age properties). Each object's property is able to store multiple values with varying level of confidence((Provided either by ASR module or from lexical clues contained in respective utterance.)), and values restricted to a defined time span.
-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|}}
-===== Automatic Speech Recognition (WP 5.1)=====
-features: improved language models, real-time speaker adaptation
-performance indicator: WER
-===== Speech Reconstruction (WP 5.2) =====
-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
-===== Morphology Analyzer and POS tagging (WP 5.2) =====
-features: coverage of photo-pal domain, domain adapted tagger
-performance indicator: OOV rate, accuracy
-===== Syntactic Parsing (WP 5.2) =====
-features: induce dependencies and labels
-performance indicator: accuracy (correctly induced edges, labels)
-===== 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 user utterances)
-performance indicator: accuracy (correctly induced edges, labels)
-===== Information Extraction (WP 5.2) =====
-features: template based identification of predicates
-covering predicates from  before-mentioned set of DAFs.
-performance indicator: accuracy
-===== Named Entities Recognition (WP 5.2) =====
-features: detect person names, geographical locations, organization names
-performance indicator: f-measure
-===== Dialog Act Tagging (WP 5.2) =====
-features: domain tailored tag-set (variation of DAMSL-SWBD)
-performance indicator: accuracy
-===== Dialog Manager (WP 5.3) =====
-features: integrated DAF-based dialog manager from previous English prototype,
-manual creation of DAFs covering following topics: Person_retired, Person_in_productive_age, Child, Husband, Wife, Wedding, Christmas, Death, Handling_stalled_dialog (most frequent topics in corpora), using customized DAF Editor provided by USFD.
-performance indicator: acceptability - manual evaluation of actions selected by DM
-===== Natural Language Generation (WP 5.4) =====
-features: adding of functional words, morphological adjustments, generating paraphrases for hard-coded utterances, underspecified input (dott format), passing-through of emotional markup (originating in DAFs)
-performance indicator: BLEU score
-===== 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
-performance indicator: listening tests
-===== 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)

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