What Do Users Care About? Detecting Actionable Insights from User Feedback

Universidade Federal de Sao Carlos (UFSCar), Dept Letras, BR-13565905 Sao Carlos, SP, Brazil

Anubhav Shrimal, Avi Jain, Kartik Mehta, Promod Yenigalla. Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Track. 2022.

Biplob Biswas, Renhao Cui, Rajiv Ramnath. Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Track. 2022.

Joanna Bitton, Maya Pavlova, Ivan Evtimov. Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Track. 2022.

Jisoo Mok, Mohammad Kachuee, Shuyang Dai, Shayan Ray, Tara Taghavi, Sungroh Yoon. Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 6: Industry Track). 2024.

Human language technology (HLT) contributes to the development of languages by providing various avenues through which languages can be interrogated. Through HLT, diverse questions can be raised and answered scientifically and objectively. In the context of South African indigenous languages (SAIL), several HLT tools support these languages. However, it seems that some language users are unaware of the availability and capabilities of these tools, which contributes to their underutilisation. This study aims to identify and describe briefly some of the HLT tools that support and analyse SAIL. It presents an overview of the open access HLT tools, namely part-of-speech (POS) taggers, morphological decomposers (MDs), morphological analysers (MAs), isiZulu.net, ZulMorph and Google Translate (GT). These tools are crucial in analysing and understanding SAIL, as well as for advancing these languages in the field of HLT. In this study, the researchers anticipate that by raising awareness of the existence of these tools, more users of indigenous languages will be eager to use them.Contribution: This study fills the practical gap in the use of HLT to perform linguistic functions for SAIL. It seems that there is underutilisation of existing HLT tools for SAIL, which might be attributed to language users being unaware of these tools. Therefore, the study aims to identify and describe some HLT tools that support and analyse SAIL. It presents an overview of the open access HLT tools, namely POS taggers, MD, MA, isiZulu.net, ZulMorph and GT. The researchers intend to demonstrate the use of these tools and to raise awareness about their existence.

Language technologies are used to develop software systems designed to handle human language and are therefore often called ‘human language technologies’.

Language technology is used to develop software systems designed to handle human language and are therefore often called “human language technology”. Human language comes in spoken and written forms. While speech is the oldest and in terms of human evolution the most natural form of language communication, complex information and most human knowledge is stored and transmitted through the written word. Speech and text technologies process or produce these different forms of language, using dictionaries, rules of grammar, and semantics. This means that language technology (LT) links language to various forms of knowledge, independently of the media (speech or text) in which it is expressed.

Language technology is used to develop software systems designed to handle human language and are therefore often called “human language technology”. Human language comes in spoken and written forms. While speech is the oldest and in terms of human evolution the most natural form of language communication, complex information and most human knowledge is stored and transmitted through the written word. Speech and text technologies process or produce these different forms of language, using dictionaries, rules of grammar, and semantics. This means that language technology (LT) links language to various forms of knowledge, independently of the media (speech or text) in which it is expressed.

Developing multi-purpose Human Language Technologies (HLT) pipelines and integrating them into the large scale software environments is a complex software engineering task. One needs to orchestrate a variety of new and legacy Natural Language Processing components, language models, linguistic and encyclopedic knowledge resources. This requires working with a variety of different APIs, data formats and knowledge models. In this paper, we propose to employ the Model Driven Development (MDD) approach to software engineering, which provides rich structural and behavioral modeling capabilities and solid software support for model transformation and code generation. These benefits help to increase development productivity and quality of HLT assets. We show how MDD techniques and tools facilitate working with different data formats, adapting to new languages and domains, managing UIMA type systems, and accessing the external knowledge bases.

Language technology is used to develop software systemsdesigned to handle human language and are therefore often also termed as human language technology. Human language comes in spoken and written forms. While speech is the oldest in terms of human evolution, and the most natural form of language communication, complex information and most human knowledge is stored and transmitted through the written word.KeywordsSearch EngineMachine TranslationAutomatic Speech RecognitionSpeech SynthesisWord Sense DisambiguationThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Language technologies are software systems designed to handle human language and are therefore often called “human language technology”. Human language comes in spoken and written forms. While speech is the oldest and, in terms of human evolution, the most natural form of language communication, complex information and most human knowledge is stored and transmitted through the written word. Speech and text technologies process or produce these different forms of language, using dictionaries, rules of grammar, and semantics.

Language technology is used to develop software systems designed to handle human language and are therefore often called “human language technology”. Human language comes in spoken and written forms. While speech is the oldest and in terms of human evolution the most natural form of language communication, complex information and most human knowledge is stored and transmitted through the written word. Speech and text technologies process or produce these different forms of language, using dictionaries, rules of grammar, and semantics.KeywordsMachine TranslationAutomatic Speech RecognitionSpeech SynthesisText CorpusLanguage TechnologyThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Language technology is used to develop software systems designed to handle human language and are therefore often called “human language technology”. Human language comes in spoken and written forms.KeywordsSpeech RecognitionMachine TranslationAutomatic Speech RecognitionSpeech SynthesisText CorpusThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Language technologies are information technologies that are specialised to deal with human language. Therefore, these technologies are also often subsumed under the term “Human Language Technology”. Human language occurs in spoken and written form. While speech is the oldest and in terms of human evolution the most natural form of language communication, complex information and most human knowledge is stored and transmitted through the written word.KeywordsMachine TranslationAutomatic Speech RecognitionSpeech SynthesisStatistical Machine TranslationEuropean LanguageThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.