Carlo Aliprandi – Mario Spoto

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1 Carlo Aliprandi – Mario Spoto
SyNTHEMA Semantic Intelligence, Speech & Language Technologies Carlo Aliprandi – Mario Spoto Synthema srl Carlo Aliprandi

2 Company Profile Based in Pisa (Italy), SyNTHEMA is a high-technology SME that was established in 1993 by computer scientists from the IBM Research Center. Since then, the company has rapidly evolved, becoming nowadays a leading provider of Language and Semantic solutions, with state-of-the-art technologies for applications like Enterprise Search, Audio&Text Mining, Technology Watch, Competitive Intelligence, Speech Recognition, Respeaking and Speech Analytics. Grounding its leadership into a strong IT Research and Development, SyNTHEMA has pioneered a number of innovative applications and solutions, adopted on a daily basis by a vast amount of users to perform productivity tasks in different markets and industries, including Homeland Security, Intelligence and Law Enforcement, Public Administration and Government, Healthcare and Media. Carlo Aliprandi

3 Structure and activities
30 People (20 IT, 10 Localisation Services) Semantic Technology Translation Technology Speech Technology Carlo Aliprandi

4 Tecnologie del Linguaggio – COSA SONO?
Language technology is often called Human Language Technology (HLT) or Natural Language Processing (NLP) and consists of computational linguistics and speech technology as its core but includes also many application oriented aspects of them. Language technology is closely connected to computer science and general linguistics Bill Clinton: “Soon researchers will bring us devices that can translate foreign languages as fast as as you can talk ….” Carlo Aliprandi

5 Tecnologie del linguaggio, alcuni esempi
LINGUAGGIO SCRITTO Traduzione Automatica Analisi Semantica Ricerca in linguaggio naturale Information Retrieval Question Answering LINGUAGGIO PARLATO Speech Recognition – Speech to Text Trascrizione Automatica Sottotitolazione Assistita Intelligent Speech Interfaces Comprensione del Parlato Gestione del dialogo (Avatar,..) Carlo Aliprandi

6 Il linguaggio naturale
Source Ethnologue Source Netz-Tipp.De 2002 Source AIIA NLP Workshop 2010 Carlo Aliprandi

7 Semantica La semantica è una parte della linguistica che studia il significato delle parole, delle frasi e dei testi. Computazionalmente, si tratta di analizzare automaticamente il testo, cercando di capire il testo e di rappresentarne il significato profondo, (Natural Language Understanding) che risulta sempre dipendente dal contesto. AIIA NLP Workshop 2010 Carlo Aliprandi

8 Semantica: stato dell’arte
Tecnologie fondanti, esempi: interessi “Questo prodotto è rivolto ai clienti cui interessi la qualità” “Contattateci per il calcolo interessi addebitati nei conti correnti e nei mutui” borsa “La borsa di Milano oggi ha chiuso in rialzo” “La Treasure è una borsa in pelle di lusso“ “Dal 2010 diventa obbligatoria la borsa della spesa biodegradabile” “Il presidente ha le borse sotto agli occhi” “per ottenere la borsa di studio della Camera dei Deputati…” interessare interesse lemmatizzazione VERBO NOME POS tagging WSD NER ORG. DATE PERS. LOC. AIIA NLP Workshop 2010 Carlo Aliprandi

9 The Italian market offers State of the art for deep NLU: Lemmatisation
Semantic Technology The Italian market offers State of the art for deep NLU: Lemmatisation POS Tagging MultiWord Detection (MWD) Named Entity Recogniiton (NER) Parsing (dependency – constituency) Word Sense Disambiguation (WSD) Sentiment Analysis (SA) Semantic Role Labeling (SLR) Languages: Carlo Aliprandi

10 aspettando la killer app, c’è una domanda latente di “Semantic Search”
Semantica è un cool topic? Bing Microsoft – Powerset (linguistic processor) Google – Applied Semantics (ontology, or knowledge base of concepts and their relationships, coupled with linguistic processing engine) Google Squared (structures the unstructured data on web pages) Hakia (meaning-based search engine, ontology and semantic lexicon, ontological parser) WolphramAlpha + computational knowledge engine, distilled and revised knowledge, NL query, rich visualisation Knowledge engineering, language dependent IBM Watson (Jeopardy!) aspettando la killer app, c’è una domanda latente di “Semantic Search” AIIA NLP Workshop 2010 Carlo Aliprandi

11 The Italian market offers State of the art speech technology for:
Automatic Speech Recognition Automatic Transcription Dialogue Systems Speech Analytics Languages: Carlo Aliprandi

12 Dictation Transcription Dialogue Speech Retrieval
Speech Recognition Dictation Dictation is the interactive composition of text Medical Report, court – parliamentary proceedings Transcription Transcription is transforming speech into text (Batch – Online) Dialogue CRM, device control, navigation, call routing Speech Retrieval Search audio and video using keywords Carlo Aliprandi

13 Language and Speech Solutions Manager
Thank you Q&A Carlo Aliprandi Language and Speech Solutions Manager Synthema srl Carlo Aliprandi

14 from Core NLP&ASR Technologies to products
Dal 1997, portiamo tecnologia R&D nel mercato SR (consumer - professional) 1997: primo sistema di Riconoscimento del Parlato Continuo per l’Italiano (IBM Viavoice – Rad, Pat) 2000: Camera dei Deputati: CameraVox, primo sistema di Speech Reporting basato sul respeaking 2001: SpeechTitle (VoiceSubTitle), primo sistema per la sottotitolazione con Live Respeaking (broadcasting) 2002: Voice Suite, primo sistema professionale per il distributed Speech Reporting 2005: Voice Suite (and Fabrizio G. Verruso) World Champion in Speech Reporting - (still current) WR of 174 wpm 2009: Applicazione al mondo Giudiziario: Voice Suite Legal edition 2007: SpeechAligner, sistema di allineamento automatico tra video/audio e testo 2008: DictaSpeech, sistema ALL-IN-ONE per la gestione del workflow dell’Audio Digitale e della Resocontazione Vocale 2010: SpeechJive, Riconoscimento del Parlato su nuovi motori Nuance Dragon NaturallySpeaking 2012: SpeechScribe.Server, Speaker Independent ASR. Trascrizione automatica batch di audio e video del parlato spontaneo 2012: SpeechScribe.Live!, primo sistema di Online Speaker Independent ASR. Trascrizione automatica Live di audio e video del parlato spontaneo per la lingua italiana 2013: SpeechScribe, new languages: Carlo Aliprandi

15 Italian Chamber of Deputies RAI Università di Pisa
Main Clients - Italy Italian Chamber of Deputies RAI Università di Pisa Regione Emilia-Romagna Tribunale di Milano 200+ Hospitals, physicians: Ospedale di Merano (German & Italian) Azienda Ospedaliera Pisana Ospedale di Viareggio Ospedale Savigliano Area vasta Toscana Sud-Est Carlo Aliprandi

16 HealthCare (Public and Private) Media Local and central Government
Market HealthCare (Public and Private) Media Local and central Government Customer care Carlo Aliprandi

17 R&D - current projects Mosaic (Multi-Modal Situation Assessment & Analytics Platform) Automated detection, recognition, geo-location and mapping, to enhance situation awareness, surveillance targeting and camera handover Caper (Collaborative information, Acquisition, Processing, Exploitation and Reporting for the prevention of organised crime) A common platform for the prevention of organised crime through information sharing, exploitation and analysis of open and closed information sources Savas (Sharing AudioVisual language resources for Automatic Subtitling) Audiovisual resources collection and sharing, to develop a new Speech Recognition (ASR) technology for Multilingual Live Subtitling, specifically tuned to the needs of the Broadcasting and New Media Industries. OpenNER (Open Named Entity recognition) Provide enterprise and society with base technologies for Crosslingual Named Entity Recognition and Classification and Sentiment Analysis through the reuse of existing resources Carlo Aliprandi