About Us - Revision history

Imt at 18:25, 15 February 2024

2024-02-15T18:25:48Z

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	The group also collaborates with the Portuguese Ministry of Education in a EU project (iRead4Skills) which aims to support the training of adults with low literacy levels, focusing on the development of intelligent systems for text complexity assessment in different languages. These systems can be used by trainers to create or adapt texts to the appropriate level of complexity for their individual students.		The group also collaborates with the Portuguese Ministry of Education in a EU project (iRead4Skills) which aims to support the training of adults with low literacy levels, focusing on the development of intelligent systems for text complexity assessment in different languages. These systems can be used by trainers to create or adapt texts to the appropriate level of complexity for their individual students.

	Besides the involvement in many national and EU projects (including leading a COST Action, Multi3Generation - Multitask, Multilingual, Multimodal Language Generation), the group is heavily involved in two recent nationwide efforts on AI: Accelerat.ai and Center for Responsible AI (CRAI). These two large scale projects, with a total amount of funding for HLT of ~2.7 millions€ for 2023-2025, respectively aim at changing the landscape of conversational AI technologies and establishing Portugal as an international reference in the use of responsible AI through its four pillars: fairness, privacy, explainability and sustainability. ~~Within the CRAI project, HLT members are chairs of the Scientific and Ethics Boards.~~		Besides the involvement in many national and EU projects (including leading a COST Action, Multi3Generation - Multitask, Multilingual, Multimodal Language Generation), the group is heavily involved in two recent nationwide efforts on AI: Accelerat.ai and Center for Responsible AI (CRAI). These two large scale projects, with a total amount of funding for HLT of ~2.7 millions€ for 2023-2025, respectively aim at changing the landscape of conversational AI technologies and establishing Portugal as an international reference in the use of responsible AI through its four pillars: fairness, privacy, explainability and sustainability.

	The group was heavily involved in a technology transfer project with 9 companies in 2006-2008. One of the main achievements was the deployment of an online fully automatic broadcast news subtitling system for Portuguese TV, live since March 2008. This laid the groundwork for launching a spin-off company - VoiceInteraction - which now has offices in Brazil, New York and Singapore, producing subtitles for over 180 TV stations.		The group was heavily involved in a technology transfer project with 9 companies in 2006-2008. One of the main achievements was the deployment of an online fully automatic broadcast news subtitling system for Portuguese TV, live since March 2008. This laid the groundwork for launching a spin-off company - VoiceInteraction - which now has offices in Brazil, New York and Singapore, producing subtitles for over 180 TV stations.

Imt at 16:03, 15 February 2024

2024-02-15T16:03:28Z

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	INESC-ID incorporates a body of highly qualified researchers, including more than 70 researchers holding a PhD and numerous post-graduate students. The majority of the PhD researchers are university professors. This body of researchers enables INESC-ID to act in the different phases of the R&D process. The intense activity developed by INESC-ID resulted in a large number of scientific papers published in specialized journals and international conferences, industrial prototypes, and computer systems based on state-of-art technologies, as well as a number of patents and awards.		INESC-ID incorporates a body of highly qualified researchers, including more than 70 researchers holding a PhD and numerous post-graduate students. The majority of the PhD researchers are university professors. This body of researchers enables INESC-ID to act in the different phases of the R&D process. The intense activity developed by INESC-ID resulted in a large number of scientific papers published in specialized journals and international conferences, industrial prototypes, and computer systems based on state-of-art technologies, as well as a number of patents and awards.

	INESC-ID operates in the following scientific areas: AI for People & Society, Automated Reasoning & Software Reliability, Communication Networks, Distributed, Parallel & Secure Systems, Green Energy & Smart Converters, Graphics & Interaction, Human Language ~~Technologies~~, High Performance Computing, Architectures & Systems, Information & Decision Support Systems, Nano-Electronic Circuits & Systems, and Sustainable Power Systems.		INESC-ID operates in the following scientific areas: AI for People & Society, Automated Reasoning & Software Reliability, Communication Networks, Distributed, Parallel & Secure Systems, Green Energy & Smart Converters, Graphics & Interaction, Human Language Technology, High Performance Computing, Architectures & Systems, Information & Decision Support Systems, Nano-Electronic Circuits & Systems, and Sustainable Power Systems.

	~~----~~

	The Human Language Technology (HLT) group is the successor of the Spoken Language Systems Laboratory (L²F), which was created in 2001. L²F brought together several groups of INESC and also independent researchers, aiming to advance the field of computational processing of spoken language, particularly for European Portuguese. The long term goal of L²F was to bridge the gap between natural spoken language and the underlying semantic information. The HLT group has expanded on the mission from L²F, considering a broader set of activities related to spoken and written language technologies, and building bridges with other disciplines.		The Human Language Technology (HLT) group is the successor of the Spoken Language Systems Laboratory (L²F), which was created in 2001. L²F brought together several groups of INESC and also independent researchers, aiming to advance the field of computational processing of spoken language, particularly for European Portuguese. The long term goal of L²F was to bridge the gap between natural spoken language and the underlying semantic information. The HLT group has expanded on the mission from L²F, considering a broader set of activities related to spoken and written language technologies, and building bridges with other disciplines.

Imt at 16:02, 15 February 2024

2024-02-15T16:02:12Z

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	Last but not least, the international recognition of the group is also seen by many leadership roles played by HLT members in scientific associations and major conferences in our field: International Speech Communication Association (ISCA - former president, Chair of Interspeech 2005), International / European Machine Translation Association (IAMT/EAMT - current president, local organization of EAMT 2020), Institute of Electric and Electronic Engineers (IEEE - Chair of Fellow Committee, Technical Chair of ICASSP 2025), and Association for Computational Linguistics (local organization of EMNLP 2015).		Last but not least, the international recognition of the group is also seen by many leadership roles played by HLT members in scientific associations and major conferences in our field: International Speech Communication Association (ISCA - former president, Chair of Interspeech 2005), International / European Machine Translation Association (IAMT/EAMT - current president, local organization of EAMT 2020), Institute of Electric and Electronic Engineers (IEEE - Chair of Fellow Committee, Technical Chair of ICASSP 2025), and Association for Computational Linguistics (local organization of EMNLP 2015).

	~~The group launched~~ in 1993 the first conference of the PROPOR (Computational Processing of the Portuguese Language) series, with the Portuguese and Brazilian research communities. This biennial conference, now in its 16th edition, has since then alternated between the two countries. The group also co-founded in 2005 the ISCA Iberian Languages Special Interest Group, and organized IberSpeech 2016, the first conference of this series to be held outside Spain. We also chaired IPMU (International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems) in 2020, remotely, and 2024, in person.		Another highlight in terms of conference organization was the launching in 1993 of the first conference of the PROPOR (Computational Processing of the Portuguese Language) series, with the Portuguese and Brazilian research communities. This biennial conference, now in its 16th edition, has since then alternated between the two countries. The group also co-founded in 2005 the ISCA Iberian Languages Special Interest Group, and organized IberSpeech 2016, the first conference of this series to be held outside Spain. We also chaired IPMU (International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems) in 2020, remotely, and 2024, in person.

Imt at 16:00, 15 February 2024

2024-02-15T16:00:28Z

Imt at 17:06, 12 February 2024

2024-02-12T17:06:21Z

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 INESC-ID operates in the following scientific areas: AI for People & Society, Automated Reasoning & Software Reliability, Communication Networks, Distributed, Parallel & Secure Systems, Green Energy & Smart Converters, Graphics & Interaction, Human Language Technologies, High Performance Computing, Architectures & Systems, Information & Decision Support Systems, Nano-Electronic Circuits & Systems, and Sustainable Power Systems.
-The Human Language Technology laboratory, as a congregation of people working on human language technology and related matters, is the natural evolution of the Spoken Language Systems Laboratory (L²F), a laboratory created in 2001, to bring together several research groups of INESC and independent researchers to contribute to the area of computational processing of spoken language for European Portuguese. The long term goal of L²F was to bridge the gap between natural spoken language and the underlying semantic information.
+The Human Language Technology group (HLT), includes researchers/faculty from various universities, as well as graduate and post-graduate researchers. Their background ranges from Electrical Engineering, to Computer Science, and Linguistics. This strongly interdisciplinary group is actively involved in many areas of language research and development,  both spoken and written, including, without limitation, speech recognition, speech synthesis, speech coding, speech understanding, audio indexing, multimodal dialogue systems, language and dialect identification, speech-to-speech machine translation, automatic summarization, natural language database interfaces, natural language generation, text simplification, named entity recognition, question answering, among others and in no particular order.
 <!--
 The expertise in these core technologies is integrated into 3 main research strands: semantic processing of multimedia contents, spoken/multimodal dialogue systems and speech-to-speech translation. The original focus on European Portuguese has now been broadened to encompass all varieties of Portuguese. Two application areas also deserve our special attention: e-learning and e-inclusion, namely in the development of alternative and augmentative communication tools for people with special needs.

David at 08:39, 11 February 2020

2020-02-11T08:39:08Z

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	The Human Language Technology laboratory, as a congregation of people working on human language technology and related matters, is the natural evolution of the Spoken Language Systems Laboratory (L²F), a laboratory created in 2001, to bring together several research groups of INESC and independent researchers to contribute to the area of computational processing of spoken language for European Portuguese. The long term goal of L²F was to bridge the gap between natural spoken language and the underlying semantic information.		The Human Language Technology laboratory, as a congregation of people working on human language technology and related matters, is the natural evolution of the Spoken Language Systems Laboratory (L²F), a laboratory created in 2001, to bring together several research groups of INESC and independent researchers to contribute to the area of computational processing of spoken language for European Portuguese. The long term goal of L²F was to bridge the gap between natural spoken language and the underlying semantic information.

	The HLT laboratory includes researchers/faculty from various universities, as well as graduate and post-graduate researchers. Their background ranges from Electrical Engineering, to Computer Science, and Linguistics. This strongly interdisciplinary group is actively involved in many areas of language research and development, both spoken and written, including, without limitation, speech recognition, speech synthesis, speech coding, speech understanding, audio indexing, multimodal dialogue systems, language and dialect identification, speech-to-speech machine translation, automatic summarization, natural language database interfaces, natural language generation, text simplification, named entity ~~retrieval~~, question answering, among others and in no particular order.		The HLT laboratory includes researchers/faculty from various universities, as well as graduate and post-graduate researchers. Their background ranges from Electrical Engineering, to Computer Science, and Linguistics. This strongly interdisciplinary group is actively involved in many areas of language research and development, both spoken and written, including, without limitation, speech recognition, speech synthesis, speech coding, speech understanding, audio indexing, multimodal dialogue systems, language and dialect identification, speech-to-speech machine translation, automatic summarization, natural language database interfaces, natural language generation, text simplification, named entity recognition, question answering, among others and in no particular order.
	<!--		<!--
	The expertise in these core technologies is integrated into 3 main research strands: semantic processing of multimedia contents, spoken/multimodal dialogue systems and speech-to-speech translation. The original focus on European Portuguese has now been broadened to encompass all varieties of Portuguese. Two application areas also deserve our special attention: e-learning and e-inclusion, namely in the development of alternative and augmentative communication tools for people with special needs.		The expertise in these core technologies is integrated into 3 main research strands: semantic processing of multimedia contents, spoken/multimodal dialogue systems and speech-to-speech translation. The original focus on European Portuguese has now been broadened to encompass all varieties of Portuguese. Two application areas also deserve our special attention: e-learning and e-inclusion, namely in the development of alternative and augmentative communication tools for people with special needs.

David at 08:34, 11 February 2020

2020-02-11T08:34:49Z

← Older revision		Revision as of 08:34, 11 February 2020
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	The Human Language Technology laboratory, as a congregation of people working on human language technology and related matters, is the natural evolution of the Spoken Language Systems Laboratory (L²F), a laboratory created in 2001, to bring together several research groups of INESC and independent researchers to contribute to the area of computational processing of spoken language for European Portuguese. The long term goal of L²F was to bridge the gap between natural spoken language and the underlying semantic information.		The Human Language Technology laboratory, as a congregation of people working on human language technology and related matters, is the natural evolution of the Spoken Language Systems Laboratory (L²F), a laboratory created in 2001, to bring together several research groups of INESC and independent researchers to contribute to the area of computational processing of spoken language for European Portuguese. The long term goal of L²F was to bridge the gap between natural spoken language and the underlying semantic information.

	The HLT laboratory includes researchers/faculty from various universities, as well as graduate and post-graduate researchers. Their background ranges from Electrical Engineering, to Computer Science, and Linguistics. This strongly interdisciplinary group is actively involved in many areas of language research and development, both spoken and written, including, ~~but limited to~~, speech recognition, speech synthesis, speech coding, speech understanding, audio indexing, multimodal dialogue systems, language and dialect identification, speech-to-speech machine translation, automatic summarization, natural language database interfaces, natural language generation, text simplification, named entity retrieval, question answering, among others and in no particular order.		The HLT laboratory includes researchers/faculty from various universities, as well as graduate and post-graduate researchers. Their background ranges from Electrical Engineering, to Computer Science, and Linguistics. This strongly interdisciplinary group is actively involved in many areas of language research and development, both spoken and written, including, without limitation, speech recognition, speech synthesis, speech coding, speech understanding, audio indexing, multimodal dialogue systems, language and dialect identification, speech-to-speech machine translation, automatic summarization, natural language database interfaces, natural language generation, text simplification, named entity retrieval, question answering, among others and in no particular order.
	<!--		<!--
	The expertise in these core technologies is integrated into 3 main research strands: semantic processing of multimedia contents, spoken/multimodal dialogue systems and speech-to-speech translation. The original focus on European Portuguese has now been broadened to encompass all varieties of Portuguese. Two application areas also deserve our special attention: e-learning and e-inclusion, namely in the development of alternative and augmentative communication tools for people with special needs.		The expertise in these core technologies is integrated into 3 main research strands: semantic processing of multimedia contents, spoken/multimodal dialogue systems and speech-to-speech translation. The original focus on European Portuguese has now been broadened to encompass all varieties of Portuguese. Two application areas also deserve our special attention: e-learning and e-inclusion, namely in the development of alternative and augmentative communication tools for people with special needs.

David at 08:20, 11 February 2020

2020-02-11T08:20:31Z

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	INESC-ID operates in the following scientific areas: AI for People & Society, Automated Reasoning & Software Reliability, Communication Networks, Distributed, Parallel & Secure Systems, Green Energy & Smart Converters, Graphics & Interaction, Human Language Technologies, High Performance Computing, Architectures & Systems, Information & Decision Support Systems, Nano-Electronic Circuits & Systems, and Sustainable Power Systems.		INESC-ID operates in the following scientific areas: AI for People & Society, Automated Reasoning & Software Reliability, Communication Networks, Distributed, Parallel & Secure Systems, Green Energy & Smart Converters, Graphics & Interaction, Human Language Technologies, High Performance Computing, Architectures & Systems, Information & Decision Support Systems, Nano-Electronic Circuits & Systems, and Sustainable Power Systems.

	The Human Language Technology laboratory, as a congregation of people working on human language technology and related matters, is the natural evolution of the Spoken Language Systems Laboratory (L²F), a laboratory created in 2001, to bring together several research groups of INESC and independent researchers ~~that could potentially add relevant contributions~~ to the area of computational processing of spoken language for European Portuguese. The long term goal of L²F was to bridge the gap between natural spoken language and the underlying semantic information.		The Human Language Technology laboratory, as a congregation of people working on human language technology and related matters, is the natural evolution of the Spoken Language Systems Laboratory (L²F), a laboratory created in 2001, to bring together several research groups of INESC and independent researchers to contribute to the area of computational processing of spoken language for European Portuguese. The long term goal of L²F was to bridge the gap between natural spoken language and the underlying semantic information.

	The HLT laboratory includes ~~about 30~~ researchers, ~~most of them either university professors or~~ graduate ~~students~~. Their background ranges from Electrical Engineering to Computer Science and Linguistics ~~(the latter through the cooperation with the [http://www.clul.ul.pt/ Center of Linguistics of the University of Lisbon] – CLUL)~~. This strongly interdisciplinary group is actively involved in many areas of language research and development, both spoken and written, including, but limited to, speech recognition, speech synthesis, speech coding, speech understanding, audio ~~indexation~~, multimodal dialogue systems, language and dialect identification, speech-to-speech machine translation, automatic summarization, natural language database interfaces, natural language generation, text simplification, named entity retrieval, question answering, among others.		The HLT laboratory includes researchers/faculty from various universities, as well as graduate and post-graduate researchers. Their background ranges from Electrical Engineering, to Computer Science, and Linguistics. This strongly interdisciplinary group is actively involved in many areas of language research and development, both spoken and written, including, but limited to, speech recognition, speech synthesis, speech coding, speech understanding, audio indexing, multimodal dialogue systems, language and dialect identification, speech-to-speech machine translation, automatic summarization, natural language database interfaces, natural language generation, text simplification, named entity retrieval, question answering, among others and in no particular order.
	<!--		<!--
	The expertise in these core technologies is integrated into 3 main research strands: semantic processing of multimedia contents, spoken/multimodal dialogue systems and speech-to-speech translation. The original focus on European Portuguese has now been broadened to encompass all varieties of Portuguese. Two application areas also deserve our special attention: e-learning and e-inclusion, namely in the development of alternative and augmentative communication tools for people with special needs.		The expertise in these core technologies is integrated into 3 main research strands: semantic processing of multimedia contents, spoken/multimodal dialogue systems and speech-to-speech translation. The original focus on European Portuguese has now been broadened to encompass all varieties of Portuguese. Two application areas also deserve our special attention: e-learning and e-inclusion, namely in the development of alternative and augmentative communication tools for people with special needs.

David at 19:57, 10 February 2020

2020-02-10T19:57:03Z

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	[[Image:inescid-2020.png\|right\|300px]]		[[Image:inescid-2020.png\|right\|300px]]

	[https://www.inesc-id.pt INESC-ID] is an R&D institute dedicated to advanced research and development in the fields of Information Technologies, Electronics, Communications, and Energy. It is a non-profit institution, privately owned by [https://www.tecnico.ulisboa.pt IST] and [http://www.inesc.pt/ INESC], officially declared of public interest. It was created in 2000, as a result of a reorganization of INESC, an institution which also played a pioneering role at the national level both in research and in the creation of SMEs. In 2004, INESC-ID was recognized by the Portuguese Government as an ''Associated Laboratory''.		[https://www.inesc-id.pt INESC-ID] is an R&D institute dedicated to advanced research and development in the fields of Information Technologies, Electronics, Communications, and Energy. It is a non-profit institution, privately owned by [https://www.tecnico.ulisboa.pt IST] and [http://www.inesc.pt/ INESC], officially declared of public interest. It was created in 2000, as a result of a reorganization of INESC, an institution which also played a pioneering role at the national level both in research and in the creation of SMEs. In 2004, INESC-ID was recognized by the Portuguese Government as an "Associated Laboratory".

	INESC-ID incorporates a body of highly qualified researchers, including more than 70 researchers holding a PhD and numerous post-graduate students. The majority of the PhD researchers are university professors. This body of researchers enables INESC-ID to act in the different phases of the R&D process. The intense activity developed by INESC-ID resulted in a large number of scientific papers published in specialized journals and international conferences, industrial prototypes, and computer systems based on state-of-art technologies, as well as a number of patents and awards.		INESC-ID incorporates a body of highly qualified researchers, including more than 70 researchers holding a PhD and numerous post-graduate students. The majority of the PhD researchers are university professors. This body of researchers enables INESC-ID to act in the different phases of the R&D process. The intense activity developed by INESC-ID resulted in a large number of scientific papers published in specialized journals and international conferences, industrial prototypes, and computer systems based on state-of-art technologies, as well as a number of patents and awards.

David at 19:56, 10 February 2020

2020-02-10T19:56:40Z

← Older revision		Revision as of 19:56, 10 February 2020
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	The Human Language Technology laboratory, as a congregation of people working on human language technology and related matters, is the natural evolution of the Spoken Language Systems Laboratory (L²F), a laboratory created in 2001, to bring together several research groups of INESC and independent researchers that could potentially add relevant contributions to the area of computational processing of spoken language for European Portuguese. The long term goal of L²F was to bridge the gap between natural spoken language and the underlying semantic information.		The Human Language Technology laboratory, as a congregation of people working on human language technology and related matters, is the natural evolution of the Spoken Language Systems Laboratory (L²F), a laboratory created in 2001, to bring together several research groups of INESC and independent researchers that could potentially add relevant contributions to the area of computational processing of spoken language for European Portuguese. The long term goal of L²F was to bridge the gap between natural spoken language and the underlying semantic information.

	The HLT laboratory includes 30 researchers, most of them either ~~Professors~~ or graduate students~~, and 3 invited researchers~~. Their background ranges from Electrical Engineering to Computer Science and Linguistics (the latter through the cooperation with the [http://www.clul.ul.pt/ Center of Linguistics of the University of Lisbon] – CLUL). This strongly interdisciplinary group is actively involved in many areas of language research and development, both spoken and written, including, but limited to, speech recognition, speech synthesis, speech coding, speech understanding, audio indexation, multimodal dialogue systems, language and dialect identification, speech-to-speech machine translation, automatic summarization, natural language database interfaces, natural language generation, text simplification, named entity retrieval, question answering, among others.		The HLT laboratory includes about 30 researchers, most of them either university professors or graduate students. Their background ranges from Electrical Engineering to Computer Science and Linguistics (the latter through the cooperation with the [http://www.clul.ul.pt/ Center of Linguistics of the University of Lisbon] – CLUL). This strongly interdisciplinary group is actively involved in many areas of language research and development, both spoken and written, including, but limited to, speech recognition, speech synthesis, speech coding, speech understanding, audio indexation, multimodal dialogue systems, language and dialect identification, speech-to-speech machine translation, automatic summarization, natural language database interfaces, natural language generation, text simplification, named entity retrieval, question answering, among others.
	<!--		<!--
	The expertise in these core technologies is integrated into 3 main research strands: semantic processing of multimedia contents, spoken/multimodal dialogue systems and speech-to-speech translation. The original focus on European Portuguese has now been broadened to encompass all varieties of Portuguese. Two application areas also deserve our special attention: e-learning and e-inclusion, namely in the development of alternative and augmentative communication tools for people with special needs.		The expertise in these core technologies is integrated into 3 main research strands: semantic processing of multimedia contents, spoken/multimodal dialogue systems and speech-to-speech translation. The original focus on European Portuguese has now been broadened to encompass all varieties of Portuguese. Two application areas also deserve our special attention: e-learning and e-inclusion, namely in the development of alternative and augmentative communication tools for people with special needs.

← Older revision		Revision as of 16:00, 15 February 2024
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	INESC-ID operates in the following scientific areas: AI for People & Society, Automated Reasoning & Software Reliability, Communication Networks, Distributed, Parallel & Secure Systems, Green Energy & Smart Converters, Graphics & Interaction, Human Language Technologies, High Performance Computing, Architectures & Systems, Information & Decision Support Systems, Nano-Electronic Circuits & Systems, and Sustainable Power Systems.		INESC-ID operates in the following scientific areas: AI for People & Society, Automated Reasoning & Software Reliability, Communication Networks, Distributed, Parallel & Secure Systems, Green Energy & Smart Converters, Graphics & Interaction, Human Language Technologies, High Performance Computing, Architectures & Systems, Information & Decision Support Systems, Nano-Electronic Circuits & Systems, and Sustainable Power Systems.

	~~The Human Language Technology group (HLT), includes researchers/faculty from various universities, as well as graduate and post~~-graduate researchers. Their background ranges from Electrical Engineering, to Computer Science, and Linguistics. This strongly interdisciplinary group is actively involved in many areas of language research and development, both spoken and written, including, without limitation, speech recognition, speech synthesis, speech coding, speech understanding, audio indexing, multimodal dialogue systems, language and dialect identification, speech-to-speech machine translation, automatic summarization, natural language database interfaces, natural language generation, text simplification, named entity recognition, question answering, among others and in no particular order.		----

	HLT is the successor of the Spoken Language Systems Laboratory (L²F), which was created in 2001. L²F brought together several groups of INESC and also independent researchers, aiming to advance the field of computational processing of spoken language, particularly for European Portuguese. The long term goal of L²F was to bridge the gap between natural spoken language and the underlying semantic information. The HLT group has expanded on the mission from L²F, considering a broader set of activities related to spoken and written language technologies, and building bridges with other disciplines.		The Human Language Technology (HLT) group is the successor of the Spoken Language Systems Laboratory (L²F), which was created in 2001. L²F brought together several groups of INESC and also independent researchers, aiming to advance the field of computational processing of spoken language, particularly for European Portuguese. The long term goal of L²F was to bridge the gap between natural spoken language and the underlying semantic information. The HLT group has expanded on the mission from L²F, considering a broader set of activities related to spoken and written language technologies, and building bridges with other disciplines.

	The HLT group currently includes researchers/faculty from various universities, as well as ~~graduate~~ and post-graduate researchers. The group is highly interdisciplinary, featuring researchers whose background ranges from Electrical Engineering to Computer Science and Linguistics. The group members are actively involved in research and development activities related to many areas of spoken and written language processing, including speech coding, speech recognition and synthesis, multimodal dialogue systems and natural language interfaces, text and audio indexing and retrieval, language and dialect identification, text simplification and paraphrasing, automatic summarization, question answering, named entity recognition and information extraction, or machine translation from text and speech, among other topics and in no particular order. The group’s involvement in these core technologies can be seen not only by its publications and open domain toolkits (e.g. STRING), but also by its successful participation in joint evaluation campaigns such as in the recent challenges on machine translation quality estimation, or multilingual automatic evaluation metrics for open-domain dialogue systems .		The HLT group currently includes researchers/faculty from various universities, as well as over 30 doctoral students and post-graduate researchers. The group is highly interdisciplinary, featuring researchers whose background ranges from Electrical Engineering to Computer Science and Linguistics. The group members are actively involved in research and development activities related to many areas of spoken and written language processing, including speech coding, speech recognition and synthesis, multimodal dialogue systems and natural language interfaces, text and audio indexing and retrieval, language and dialect identification, text simplification and paraphrasing, automatic summarization, question answering, named entity recognition and information extraction, or machine translation from text and speech, among other topics and in no particular order. The group’s involvement in these core technologies can be seen not only by its publications and open domain toolkits (e.g. STRING), but also by its successful participation in joint evaluation campaigns such as in the recent challenges on machine translation quality estimation, or multilingual automatic evaluation metrics for open-domain dialogue systems.

	Combining speech and language technologies with other disciplines has been one of the highlights of the group's work, ~~with very interesting applications related to multimodal information processing. We highlight work related to~~ the use of speech as a health biomarker, privacy-preserving speech processing, geographical text analysis and retrieval, music information retrieval, and work on vision and language problems such as image captioning or visual question answering.		Combining speech and language technologies with other disciplines has been one of the highlights of the group's work, particularly on the use of speech as a health biomarker, privacy-preserving speech processing, geographical text analysis and retrieval, music information retrieval, and also multimodal work on vision and language problems such as image captioning or visual question answering.

	HLT's work in speech as a health biomarker covers several speech-affecting diseases, including respiratory (e.g., obstructive sleep apnea, COVID 19), mood disorders (e.g. depression, psychosis, bipolar disease) and neurodegenerative diseases (e.g. Parkinson's and Alzheimer’s). Besides strongly investing in collecting corpora in collaboration with health professionals, HLT's work also encompassed processing in-the-wild corpora (from YouTube, or from repositories of testimonials by patients and caregivers). This allowed the group to address the limitations that must be overcome in telemedicine, and motivated them to encompass other non-invasive modalities (facial images, visual speech). Together with research groups from the Universities of Bremen and Augsburg, the group also published pioneering papers on “Silent Paralinguistics”, involving speech and EMG signals.		HLT's work in speech as a health biomarker covers several speech-affecting diseases, including respiratory (e.g., obstructive sleep apnea, COVID 19), mood disorders (e.g. depression, psychosis, bipolar disease) and neurodegenerative diseases (e.g. Parkinson's and Alzheimer’s). Besides strongly investing in collecting corpora in collaboration with health professionals, HLT's work also encompassed processing in-the-wild corpora (from YouTube, or from repositories of testimonials by patients and caregivers). This allowed the group to address the limitations that must be overcome in telemedicine, and motivated them to encompass other non-invasive modalities (facial images, visual speech). Together with research groups from the Universities of Bremen and Augsburg, the group also published pioneering papers on “Silent Paralinguistics”, involving speech and EMG signals.
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	Specifically on what regards multimodality, and noting that most previous vision and language research focuses on the English language, the group has pursued the development of methods capable of working across languages and cultures. Research within this topic has also tackled issues related to computational efficiency, aiming at smaller models that retain the effectiveness of much larger counterparts, e.g. through the use of retrieval augmentation as an approach to offload some of the training budget (and connecting also to some of the group’s activities in the area of information retrieval). The group has strong international collaborations in connection to this cross disciplinary area of activity, including the co-supervision of PhD students on topics such as image captioning, vision-and-language models for remote sensing data, or image captioning evaluation.		Specifically on what regards multimodality, and noting that most previous vision and language research focuses on the English language, the group has pursued the development of methods capable of working across languages and cultures. Research within this topic has also tackled issues related to computational efficiency, aiming at smaller models that retain the effectiveness of much larger counterparts, e.g. through the use of retrieval augmentation as an approach to offload some of the training budget (and connecting also to some of the group’s activities in the area of information retrieval). The group has strong international collaborations in connection to this cross disciplinary area of activity, including the co-supervision of PhD students on topics such as image captioning, vision-and-language models for remote sensing data, or image captioning evaluation.

	Our strong interdisciplinary profile is also patent in the very active collaboration in the fields of law (namely in collaboration with the Portuguese Supreme Court), and psychology, with an emphasis on cyberbullying.		Our strong interdisciplinary profile is also patent in the very active collaboration in the fields of law (namely in collaboration with the Portuguese Supreme Justice Court), and psychology, with an emphasis on cyberbullying and hate speech. The collaboration with the Portuguese Supreme Justice Court focused on the development of tools that increase the open availability and accessibility of their rulings, through the use of natural language processing. Namely, tools for anonymization, information retrieval, optical character recognition, and segmentation and summarization have been developed, with the anonymization tool being currently used nationally by all courts in Portugal. The work on cyberbullying and hate speech delves into several perspectives, specifically, their characterization, including the diachronic aspect (namely, how it was affected by the Covid-19 pandemic), automatic detection, and prevention strategies.

	Besides the involvement in many national and EU projects (including leading a COST Action), the group is heavily involved in two recent nationwide efforts on AI: Accelerat.ai and CRAI. These two large scale projects, with a total amount of funding for HLT of ~2.7 millions€ for 2023-2025, aim at changing the landscape of conversational AI ~~technology~~ and establishing Portugal as an international reference in the use of responsible AI.		The group also collaborates with the Portuguese Ministry of Education in a EU project (iRead4Skills) which aims to support the training of adults with low literacy levels, focusing on the development of intelligent systems for text complexity assessment in different languages. These systems can be used by trainers to create or adapt texts to the appropriate level of complexity for their individual students.

			Besides the involvement in many national and EU projects (including leading a COST Action, Multi3Generation - Multitask, Multilingual, Multimodal Language Generation), the group is heavily involved in two recent nationwide efforts on AI: Accelerat.ai and Center for Responsible AI (CRAI). These two large scale projects, with a total amount of funding for HLT of ~2.7 millions€ for 2023-2025, respectively aim at changing the landscape of conversational AI technologies and establishing Portugal as an international reference in the use of responsible AI through its four pillars: fairness, privacy, explainability and sustainability. Within the CRAI project, HLT members are chairs of the Scientific and Ethics Boards.

	The group was heavily involved in a technology transfer project with 9 companies in 2006-2008. One of the main achievements was the deployment of an online fully automatic broadcast news subtitling system for Portuguese TV, live since March 2008. This laid the groundwork for launching a spin-off company - VoiceInteraction - which now has offices in Brazil, New York and Singapore, producing subtitles for over 180 TV stations.		The group was heavily involved in a technology transfer project with 9 companies in 2006-2008. One of the main achievements was the deployment of an online fully automatic broadcast news subtitling system for Portuguese TV, live since March 2008. This laid the groundwork for launching a spin-off company - VoiceInteraction - which now has offices in Brazil, New York and Singapore, producing subtitles for over 180 TV stations.

	HLT also has a very close cooperation with Unbabel, a translation company combining AI + post-editing, launched by a former PhD student of the group in 2013. The ~~formal cooperation focuses on~~ scalable ~~linguistic quality assurance~~ processes for crowdsourcing, ~~but~~ extends to many other areas such as evaluation of neural machine translation, which is the topic of the PhD thesis Ricardo Rei, winner of INESC-ID’s PhD student award.		HLT also has a very close cooperation with Unbabel, a translation company combining AI + post-editing, launched by a former PhD student of the group in 2013. The bilateral protocol between Unbabel and INESC-ID was established in 2015, with Technology Transfer purposes, and initially targeted scalable Linguistic Quality Assurance processes for crowdsourcing (over 50k editors, evaluators, annotators and in-house teams). Nowadays, the collaboration focuses on Product Innovation based on Machine Translation, (Automatic) Post-editing and Generative AI for several tasks (e.g., localisation, automatic post-editing, cultural transcreation) and domains, namely high risk domains (life sciences), customer support and websites, amongst others. It also extends to many other areas such as evaluation of neural machine translation, which is the topic of the PhD thesis of Ricardo Rei, winner of INESC-ID’s PhD student award.

	The group has also strongly invested in training the future leaders in ~~the field~~, particularly through the Lisbon Machine Learning Summer School which has been running since 2011 in cooperation with other research institutes and companies. The list of speakers in this school includes a very impressive number of the very best machine learning experts in the field, and the number of applications received each year exceeds 500.		The group is also very involved in training the next generation of skilled industry players through Technology Transfer within Master’s and Doctoral theses with industry (Baidu, Defined.ai, ELSA, Unbabel, VoiceInteraction). Another highlight in terms of training is the groups’ participation in an European training network which joins many top researchers in speech technologies for health applications (TAPAS). The group has also strongly invested in training the future leaders in AI, particularly through the Lisbon Machine Learning Summer School which has been running since 2011 in cooperation with other research institutes and companies. The list of speakers in this school includes a very impressive number of the very best machine learning experts in the field, and the number of applications received each year exceeds 500.

	Last but not least, the international recognition of the group is also seen by many leadership roles played by HLT members in scientific associations and major conferences in our field: International Speech Communication Association (ISCA - former president, Chair of Interspeech 2005), International / European Machine Translation Association (IAMT/EAMT - current president, local organization of EAMT 2020), Institute of Electric and Electronic Engineers (IEEE - Chair of Fellow Committee, Technical Chair of ICASSP 2025), and Association for Computational Linguistics (local organization of EMNLP 2015).		Last but not least, the international recognition of the group is also seen by many leadership roles played by HLT members in scientific associations and major conferences in our field: International Speech Communication Association (ISCA - former president, Chair of Interspeech 2005), International / European Machine Translation Association (IAMT/EAMT - current president, local organization of EAMT 2020), Institute of Electric and Electronic Engineers (IEEE - Chair of Fellow Committee, Technical Chair of ICASSP 2025), and Association for Computational Linguistics (local organization of EMNLP 2015).

	The group launched in 1993 the first conference of the PROPOR (Computational Processing of the Portuguese Language) series, with the Portuguese and Brazilian research communities. This biennial conference, now in its 16th edition, has since then alternated between the two countries. The group also co-founded in 2005 the ISCA Iberian Languages Special Interest Group, and organized IberSpeech 2016, the first conference of this series to be held outside Spain. We also chaired IPMU (International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems) in 2020, remotely, and 2024, in person.		The group launched in 1993 the first conference of the PROPOR (Computational Processing of the Portuguese Language) series, with the Portuguese and Brazilian research communities. This biennial conference, now in its 16th edition, has since then alternated between the two countries. The group also co-founded in 2005 the ISCA Iberian Languages Special Interest Group, and organized IberSpeech 2016, the first conference of this series to be held outside Spain. We also chaired IPMU (International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems) in 2020, remotely, and 2024, in person.