Abstract This paper intends to examine the development of conflictual interactions, how they might be resolved, and the socio-cultural norms involved, by adopting an analytical framework in an online gaming context. The current paper was inspired by Kádár and Haugh’s framework as it enables me to investigate both the macro and micro aspects of (im)politeness. The study’s aim is to further examine how impoliteness, language aggression and conflict are realised in two online gaming platforms, namely Fortnite and PUBG Mobile. Thus, I will explore discursively how these phenomena are subjective in a Tunisian Arabic setting and discuss how participants reach their subjective perception of conflict in ways that do not always correspond to the supposed intentions of the ostensible offender. The results indicate that conflict is subjective as it is evaluated in different ways by different gamers and could be a result of a conflictual intention. The findings also reveal that conflict may also be created/ escalated as a result of a non-conflictual intention. Thus, this paper contributes to understanding of conflict, how impoliteness can lead to conflict and the various aspects of impoliteness/the perception of impoliteness.
{"title":"Online gaming and language aggression in a Tunisian Arabic context","authors":"Khouloud Boukhris","doi":"10.1515/lpp-2023-0014","DOIUrl":"https://doi.org/10.1515/lpp-2023-0014","url":null,"abstract":"Abstract This paper intends to examine the development of conflictual interactions, how they might be resolved, and the socio-cultural norms involved, by adopting an analytical framework in an online gaming context. The current paper was inspired by Kádár and Haugh’s framework as it enables me to investigate both the macro and micro aspects of (im)politeness. The study’s aim is to further examine how impoliteness, language aggression and conflict are realised in two online gaming platforms, namely Fortnite and PUBG Mobile. Thus, I will explore discursively how these phenomena are subjective in a Tunisian Arabic setting and discuss how participants reach their subjective perception of conflict in ways that do not always correspond to the supposed intentions of the ostensible offender. The results indicate that conflict is subjective as it is evaluated in different ways by different gamers and could be a result of a conflictual intention. The findings also reveal that conflict may also be created/ escalated as a result of a non-conflictual intention. Thus, this paper contributes to understanding of conflict, how impoliteness can lead to conflict and the various aspects of impoliteness/the perception of impoliteness.","PeriodicalId":39423,"journal":{"name":"Lodz Papers in Pragmatics","volume":"36 1","pages":"255 - 278"},"PeriodicalIF":0.0,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138626183","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Barbara Lewandowska-Tomaszczyk, Chaya Liebeskind, Anna Bączkowska, Jurate Ruzaite, Ardita Dylgjeri, Ledia Kazazi, Erika Lombart
Abstract The paper investigates various definitions of the concept of opinion as opposed to factual or evidence-based statements and proposes a taxonomy of opinions expressed in English as identified in selected social media. A discussion situates opinions in the realm of pragmatics and reaches to philosophy of language and cognitive science. The research methodology combines a thorough linguistic analysis of opinions, proposing their multifaceted taxonomy with the automatically generated lexical embeddings of positive and negative lexicon acquired from the analysed opinionated texts. As proposed, the definition of the concept of opinion is best apprehended when looked upon in terms of an opinion event, with a number of necessary conditions on the one hand, and those that are characteristic of an explicit opinion prototype on the other. Lists of opinion discourse markers show their preferential uses either in positive or negative opinionated texts; however, no sets of necessary and/or sufficient opinion markers properties have been acquired from the analysed texts. The conclusions indicate a polysemous understanding of naturally occurring social media opinionated texts and a definitional flexibility of the boundaries around lexical positive and negative types of opinion markers.
{"title":"Opinion Events: Types and opinion markers in English social media discourse","authors":"Barbara Lewandowska-Tomaszczyk, Chaya Liebeskind, Anna Bączkowska, Jurate Ruzaite, Ardita Dylgjeri, Ledia Kazazi, Erika Lombart","doi":"10.1515/lpp-2023-0022","DOIUrl":"https://doi.org/10.1515/lpp-2023-0022","url":null,"abstract":"Abstract The paper investigates various definitions of the concept of opinion as opposed to factual or evidence-based statements and proposes a taxonomy of opinions expressed in English as identified in selected social media. A discussion situates opinions in the realm of pragmatics and reaches to philosophy of language and cognitive science. The research methodology combines a thorough linguistic analysis of opinions, proposing their multifaceted taxonomy with the automatically generated lexical embeddings of positive and negative lexicon acquired from the analysed opinionated texts. As proposed, the definition of the concept of opinion is best apprehended when looked upon in terms of an opinion event, with a number of necessary conditions on the one hand, and those that are characteristic of an explicit opinion prototype on the other. Lists of opinion discourse markers show their preferential uses either in positive or negative opinionated texts; however, no sets of necessary and/or sufficient opinion markers properties have been acquired from the analysed texts. The conclusions indicate a polysemous understanding of naturally occurring social media opinionated texts and a definitional flexibility of the boundaries around lexical positive and negative types of opinion markers.","PeriodicalId":39423,"journal":{"name":"Lodz Papers in Pragmatics","volume":"51 10","pages":"447 - 481"},"PeriodicalIF":0.0,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138626892","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Barbara Lewandowska-Tomaszczyk, Anna Bączkowska, Olga Dontcheva-Navrátilová, Chaya Liebeskind, Giedrė Valūnaitė Oleškevičienė, Slavko Žitnik, Marcin Trojszczak, Renata Povolná, Linas Selmistraitis, A. Utka, Dangis Gudelis
Abstract The goal of the paper is to present a Simplified Offensive Language (SOL) Taxonomy, its application and testing in the Second Annotation Campaign conducted between March-May 2023 on four languages: English, Czech, Lithuanian, and Polish to be verified and located in LLOD. Making reference to the previous Offensive Language taxonomic models proposed mostly by the same COST Action Nexus Linguarum WG 4.1.1 team, the number and variety of the categories underwent the definitional revision, and the present typology was tested in the annotation on the publicly available offensive language datasets of each of the four languages. The results of the annotation are presented and as they are contained within the accepted statistical values on the inter-annotator agreement in the SOL categories and their aspects, we propose this taxonomy as a core ontology which represents the encoding of the supported offensive languages and justify its use on new data in terms of a more universal Linguistic Linked Open Data (LLOD) schema.
本文的目标是提出一个简化的攻击性语言(SOL)分类法，并在2023年3月至5月期间对英语、捷克语、立陶宛语和波兰语四种语言进行的第二次注释活动中进行应用和测试，这些语言将被验证并位于LLOD中。参考先前主要由相同的COST Action Nexus Linguarum WG 4.1.1团队提出的攻击性语言分类模型，对类别的数量和种类进行了定义修订，并在公开的四种语言的攻击性语言数据集上的注释中对目前的类型进行了测试。我们给出了注释的结果，因为它们包含在SOL类别及其方面的注释者间协议的可接受统计值中，我们建议将该分类法作为核心本体，代表支持的攻击性语言的编码，并根据更通用的语言链接开放数据(LLOD)模式证明其在新数据上的使用。
{"title":"LLOD schema for Simplified Offensive Language Taxonomy in multilingual detection and applications","authors":"Barbara Lewandowska-Tomaszczyk, Anna Bączkowska, Olga Dontcheva-Navrátilová, Chaya Liebeskind, Giedrė Valūnaitė Oleškevičienė, Slavko Žitnik, Marcin Trojszczak, Renata Povolná, Linas Selmistraitis, A. Utka, Dangis Gudelis","doi":"10.1515/lpp-2023-0016","DOIUrl":"https://doi.org/10.1515/lpp-2023-0016","url":null,"abstract":"Abstract The goal of the paper is to present a Simplified Offensive Language (SOL) Taxonomy, its application and testing in the Second Annotation Campaign conducted between March-May 2023 on four languages: English, Czech, Lithuanian, and Polish to be verified and located in LLOD. Making reference to the previous Offensive Language taxonomic models proposed mostly by the same COST Action Nexus Linguarum WG 4.1.1 team, the number and variety of the categories underwent the definitional revision, and the present typology was tested in the annotation on the publicly available offensive language datasets of each of the four languages. The results of the annotation are presented and as they are contained within the accepted statistical values on the inter-annotator agreement in the SOL categories and their aspects, we propose this taxonomy as a core ontology which represents the encoding of the supported offensive languages and justify its use on new data in terms of a more universal Linguistic Linked Open Data (LLOD) schema.","PeriodicalId":39423,"journal":{"name":"Lodz Papers in Pragmatics","volume":"104 32","pages":"301 - 324"},"PeriodicalIF":0.0,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138608887","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract The prevalence of sensationalized headlines and deceptive narratives in online content has prompted the need for effective clickbait detection methods. This study delves into the nuances of clickbait in Hebrew, scrutinizing diverse features such as linguistic and structural features, and exploring various types of clickbait in Hebrew, a language that has received relatively limited attention in this context. Utilizing a range of machine learning models, this research aims to identify linguistic features that are instrumental in accurately classifying Hebrew headlines as either clickbait or non-clickbait. The findings underscore the critical role of linguistic attributes in enhancing the performance of the classification model. Notably, the employment of a machine learning model resulted in an impressive accuracy of 0.87 in clickbait detection. Moving forward, our research plan encompasses dataset expansion through the best machine learning model assisted labelling, with the objective of optimizing deep learning models for even more robust outcomes. This study not only advances clickbait detection in the realm of Hebrew but also emphasizes the fundamental importance of linguistic features in the accurate classification of clickbait.
{"title":"Clickbait detection in Hebrew","authors":"Talya Natanya, Chaya Liebeskind","doi":"10.1515/lpp-2023-0021","DOIUrl":"https://doi.org/10.1515/lpp-2023-0021","url":null,"abstract":"Abstract The prevalence of sensationalized headlines and deceptive narratives in online content has prompted the need for effective clickbait detection methods. This study delves into the nuances of clickbait in Hebrew, scrutinizing diverse features such as linguistic and structural features, and exploring various types of clickbait in Hebrew, a language that has received relatively limited attention in this context. Utilizing a range of machine learning models, this research aims to identify linguistic features that are instrumental in accurately classifying Hebrew headlines as either clickbait or non-clickbait. The findings underscore the critical role of linguistic attributes in enhancing the performance of the classification model. Notably, the employment of a machine learning model resulted in an impressive accuracy of 0.87 in clickbait detection. Moving forward, our research plan encompasses dataset expansion through the best machine learning model assisted labelling, with the objective of optimizing deep learning models for even more robust outcomes. This study not only advances clickbait detection in the realm of Hebrew but also emphasizes the fundamental importance of linguistic features in the accurate classification of clickbait.","PeriodicalId":39423,"journal":{"name":"Lodz Papers in Pragmatics","volume":" 3","pages":"427 - 446"},"PeriodicalIF":0.0,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138617046","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract This study intends to contribute to the delimitation of selected offensive language categories based on an analysis of a corpus of contributions to discussion forums in Czech online national newspapers and news platforms called Czech Corpus of Offensive Language (CCOL). It endeavours to study three problematic areas (1) delimitation between the speech acts performed, (ii) lexical realisation of specific properties of the target and (iii) identification and categorisation of implicit offence (e.g. figurative semantic shifts) by exploring contextual cues for the speech act identification, the keywords indicating the properties of the target and the types of semantic shifts in implicit expressions of offence. The findings indicate that annotation systems that do not use context information for the detection of offensive language may face problems with adequate interpretation of the language means under investigation.
{"title":"Offensive language in media discussion forums: A pragmatic analysis","authors":"Olga Dontcheva- Navrátilová, Renata Povolná","doi":"10.1515/lpp-2023-0012","DOIUrl":"https://doi.org/10.1515/lpp-2023-0012","url":null,"abstract":"Abstract This study intends to contribute to the delimitation of selected offensive language categories based on an analysis of a corpus of contributions to discussion forums in Czech online national newspapers and news platforms called Czech Corpus of Offensive Language (CCOL). It endeavours to study three problematic areas (1) delimitation between the speech acts performed, (ii) lexical realisation of specific properties of the target and (iii) identification and categorisation of implicit offence (e.g. figurative semantic shifts) by exploring contextual cues for the speech act identification, the keywords indicating the properties of the target and the types of semantic shifts in implicit expressions of offence. The findings indicate that annotation systems that do not use context information for the detection of offensive language may face problems with adequate interpretation of the language means under investigation.","PeriodicalId":39423,"journal":{"name":"Lodz Papers in Pragmatics","volume":"32 1","pages":"223 - 238"},"PeriodicalIF":0.0,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138623539","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract The automatic detection of implicitly offensive language is a challenge for NLP, as such language is subtle, contextual, and plausibly deniable, but it is becoming increasingly important with the wider use of large language models to generate human-quality texts. This study argues that current difficulties in detecting implicit offence are exacerbated by multiple factors: (a) inadequate definitions of implicit and explicit offense; (b) an insufficient typology of implicit offence; and (c) a dearth of detailed analysis of implicitly offensive linguistic data. In this study, based on a qualitative analysis of an implicitly offensive dataset, a new typology of implicitly offensive language is proposed along with a detailed, example-led account of the new typology, an operational definition of implicitly offensive language, and a thorough analysis of the role of figurative language and humour in each type. Our analyses identify three main issues with previous datasets and typologies used in NLP approaches: (a) conflating content and form in the annotation; (b) treating figurativeness, particularly metaphor, as the main device of implicitness, while ignoring its equally important role in the explicit offence; and (c) an over-focus on form-specific datasets (e.g. focusing only on offensive comparisons), which fails to reflect the full complexity of offensive language use.
{"title":"“Somewhere along your pedigree, a bitch got over the wall!” A proposal of implicitly offensive language typology","authors":"Kristina Š. Despot, A. Anić, Tony Veale","doi":"10.1515/lpp-2023-0019","DOIUrl":"https://doi.org/10.1515/lpp-2023-0019","url":null,"abstract":"Abstract The automatic detection of implicitly offensive language is a challenge for NLP, as such language is subtle, contextual, and plausibly deniable, but it is becoming increasingly important with the wider use of large language models to generate human-quality texts. This study argues that current difficulties in detecting implicit offence are exacerbated by multiple factors: (a) inadequate definitions of implicit and explicit offense; (b) an insufficient typology of implicit offence; and (c) a dearth of detailed analysis of implicitly offensive linguistic data. In this study, based on a qualitative analysis of an implicitly offensive dataset, a new typology of implicitly offensive language is proposed along with a detailed, example-led account of the new typology, an operational definition of implicitly offensive language, and a thorough analysis of the role of figurative language and humour in each type. Our analyses identify three main issues with previous datasets and typologies used in NLP approaches: (a) conflating content and form in the annotation; (b) treating figurativeness, particularly metaphor, as the main device of implicitness, while ignoring its equally important role in the explicit offence; and (c) an over-focus on form-specific datasets (e.g. focusing only on offensive comparisons), which fails to reflect the full complexity of offensive language use.","PeriodicalId":39423,"journal":{"name":"Lodz Papers in Pragmatics","volume":" 27","pages":"385 - 414"},"PeriodicalIF":0.0,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138614012","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract The aim of this paper is to shed some light on the linguistic concept of implicit offensiveness. On the one hand, implicitness will be juxtaposed with indirectness as the two concepts are not conceived of here as synonymous. On the other hand, a typology of offensiveness (vs offensive language and vs offendedness) will be proposed, as well as the overarching term ‘covert meaning’ that will span figurative implicitness and non-figurative implicitness. The gradability of various forms of covert meaning and its overlap with overt meaning (subsuming explicit literal meaning and implicit literal meaning) will also be discussed. In the analysis, two sample implicit concepts will be examined (irony vs sarcasm) based on corpus data (of general English and dedicated offensiveness corpus) and using non-contextual embeddings. Theory-wise, the paper demonstrates that implicitness is a complex term which is fuzzy and gradable; methodology-wise, it shows how computational tools can be used to attest theoretical assumptions related to offensive covert terms.
{"title":"Implicit offensiveness from linguistic and computational perspectives: A study of irony and sarcasm","authors":"Anna Bączkowska","doi":"10.1515/lpp-2023-0018","DOIUrl":"https://doi.org/10.1515/lpp-2023-0018","url":null,"abstract":"Abstract The aim of this paper is to shed some light on the linguistic concept of implicit offensiveness. On the one hand, implicitness will be juxtaposed with indirectness as the two concepts are not conceived of here as synonymous. On the other hand, a typology of offensiveness (vs offensive language and vs offendedness) will be proposed, as well as the overarching term ‘covert meaning’ that will span figurative implicitness and non-figurative implicitness. The gradability of various forms of covert meaning and its overlap with overt meaning (subsuming explicit literal meaning and implicit literal meaning) will also be discussed. In the analysis, two sample implicit concepts will be examined (irony vs sarcasm) based on corpus data (of general English and dedicated offensiveness corpus) and using non-contextual embeddings. Theory-wise, the paper demonstrates that implicitness is a complex term which is fuzzy and gradable; methodology-wise, it shows how computational tools can be used to attest theoretical assumptions related to offensive covert terms.","PeriodicalId":39423,"journal":{"name":"Lodz Papers in Pragmatics","volume":" 9","pages":"353 - 383"},"PeriodicalIF":0.0,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138616893","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract Currently, the Internet information and communication network has become an integral part of human life. People use social networks such as Twitter, VKontakte, Facebook, etc., to establish global contacts, exchange opinions, gain knowledge, etc. The active participation of not only individual users, but also information organizations in the entire world space makes it necessary to develop measures that correspond to modern trends in the development of information and communication technologies to ensure national security, in particular, the organization of events related to countering the strengthening of ideas of extremism and terrorism. Countering the spread of aggressive information on the global network is an urgent problem of society and government agencies, this task is solved by filtering unwanted Internet resources. However, terrorist and extremist groups rationally use web technologies to perform various functions, including information dissemination, propaganda, fundraising and extremist missions. In such a situation, the Internet poses a threat to national security. In this paper, we investigate the issue of creating semantic analysis models to identify extremist messages in the Kazakh language. For the study, a proprietary text corpus was assembled and models based on bigrams and word input methods were proposed. According to the results of experiments, the proposed model shows the highest indicators for evaluating machine learning methods.
{"title":"Detection of extremist messages in web resources in the Kazakh language","authors":"M. Bolatbek, Shynar Mussiraliyeva","doi":"10.1515/lpp-2023-0020","DOIUrl":"https://doi.org/10.1515/lpp-2023-0020","url":null,"abstract":"Abstract Currently, the Internet information and communication network has become an integral part of human life. People use social networks such as Twitter, VKontakte, Facebook, etc., to establish global contacts, exchange opinions, gain knowledge, etc. The active participation of not only individual users, but also information organizations in the entire world space makes it necessary to develop measures that correspond to modern trends in the development of information and communication technologies to ensure national security, in particular, the organization of events related to countering the strengthening of ideas of extremism and terrorism. Countering the spread of aggressive information on the global network is an urgent problem of society and government agencies, this task is solved by filtering unwanted Internet resources. However, terrorist and extremist groups rationally use web technologies to perform various functions, including information dissemination, propaganda, fundraising and extremist missions. In such a situation, the Internet poses a threat to national security. In this paper, we investigate the issue of creating semantic analysis models to identify extremist messages in the Kazakh language. For the study, a proprietary text corpus was assembled and models based on bigrams and word input methods were proposed. According to the results of experiments, the proposed model shows the highest indicators for evaluating machine learning methods.","PeriodicalId":39423,"journal":{"name":"Lodz Papers in Pragmatics","volume":" 1","pages":"415 - 425"},"PeriodicalIF":0.0,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138616977","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Various dimensions of expressivity","authors":"M. Deckert, K. Kosecki","doi":"10.1515/lpp-2023-0001","DOIUrl":"https://doi.org/10.1515/lpp-2023-0001","url":null,"abstract":"","PeriodicalId":39423,"journal":{"name":"Lodz Papers in Pragmatics","volume":"19 1","pages":"1 - 6"},"PeriodicalIF":0.0,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49443705","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract In Poland, as in most countries, interpreting (similarly to translation) is a free profession (apart from sworn translation and interpreting rendered by certified translators and interpreters) which does not adhere to any particular prescriptive code or officially accepted regulations. Efforts have been made both internationally and domestically to introduce a set of universal principles or a professional working framework on commercial and scholar grounds (various codes of conduct drafted by organisations worldwide) to standardise techniques and approaches to interpreting with the aim of establishing a set of practices to ensure high quality interpreting. Regardless of the prescriptive nature of such codes or guidelines and the work of scholars, one of the matters that is of essence and still seems open for discussion is the choice of the grammatical person in which interpreters render and relay interpreted messages to their clients. This article presents a short description of what community interpreting is, its place within the interpreting domain, and it focuses on the aspect of direct/indirect address (using first or third grammatical person, respectively, while interpreting), its emotional and cognitive strain which the interpreters experience, and related lexical and grammatical choices they consequently make. The purpose of the article is the identification of possible reasons of such choices on the basis of feedback received from professionally active interpreters (both as full-time and part-time interpreters) in diverse settings: business, community, remote interpreting. The study reveals that the choice of grammatical person depends on many factors, such as cognitive and emotional strain, personal preference, context, client, and, in most cases, it is not dictated by any code of conduct.
{"title":"The emotional strain in community interpreting: Cognitive aspects of direct versus indirect address as observed by interpreters","authors":"Przemysław Boczarski","doi":"10.1515/lpp-2023-0010","DOIUrl":"https://doi.org/10.1515/lpp-2023-0010","url":null,"abstract":"Abstract In Poland, as in most countries, interpreting (similarly to translation) is a free profession (apart from sworn translation and interpreting rendered by certified translators and interpreters) which does not adhere to any particular prescriptive code or officially accepted regulations. Efforts have been made both internationally and domestically to introduce a set of universal principles or a professional working framework on commercial and scholar grounds (various codes of conduct drafted by organisations worldwide) to standardise techniques and approaches to interpreting with the aim of establishing a set of practices to ensure high quality interpreting. Regardless of the prescriptive nature of such codes or guidelines and the work of scholars, one of the matters that is of essence and still seems open for discussion is the choice of the grammatical person in which interpreters render and relay interpreted messages to their clients. This article presents a short description of what community interpreting is, its place within the interpreting domain, and it focuses on the aspect of direct/indirect address (using first or third grammatical person, respectively, while interpreting), its emotional and cognitive strain which the interpreters experience, and related lexical and grammatical choices they consequently make. The purpose of the article is the identification of possible reasons of such choices on the basis of feedback received from professionally active interpreters (both as full-time and part-time interpreters) in diverse settings: business, community, remote interpreting. The study reveals that the choice of grammatical person depends on many factors, such as cognitive and emotional strain, personal preference, context, client, and, in most cases, it is not dictated by any code of conduct.","PeriodicalId":39423,"journal":{"name":"Lodz Papers in Pragmatics","volume":"19 1","pages":"199 - 218"},"PeriodicalIF":0.0,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48273988","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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