Difficulties in establishing common ground in multiparty groups using machine translation

Yamashita, Naomi; Inaba, Rieko; Kuzuoka, Hideaki; Ishida, Toru

doi:10.1145/1518701.1518807

Cited by 62 publications

(35 citation statements)

References 15 publications

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“…Displaying a collage of pictures and text relevant to ongoing conversation might contextualize cultural referents and provide information to help resolve ambiguity, translation errors, and other fluency issues. Another way to address fluency issues would be to exploit real-time machine translation tools that allow people to converse in their native languages [54,55]. And, though we have focused on CMC, physical spaces might also be augmented with a combination of speech recognition and ambient displays to present icebreakers and conversational referents.…”

Section: Interactions: Enhancing Grounding and Empathymentioning

confidence: 99%

Understanding informal communication in multilingual contexts

Yuan

Setlock

Cosley

et al. 2013

Proceedings of the 2013 Conference on Computer Supported Cooperative Work

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Informal communication in organizations has many benefits, but people who are not native speakers of the organization's common language may find it hard to interact informally. In an interview study of nine native English-speaking and 33 non-native English-speaking students at a large U.S. university, we explore how native language shapes patterns of informal interaction. We found that non-native speakers generally preferred interacting informally with fellow speakers of their own native language as opposed to native English speakers, which hinders communication and collaboration between groups. Three factors led to this "clustering" effect: issues of common ground, feelings of social obligation to other speakers of one's native language, and desires to build social networks within a language group. Four factors led to greater motivation for cross-language interaction: a desire to build bridging capital, physical proximity, oneon-one or small-group interaction, and an established work relationship.The findings suggest ways that communication tools might reduce barriers to informal interaction between speakers of different native languages.

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Section: Interactions: Enhancing Grounding and Empathymentioning

confidence: 99%

Understanding informal communication in multilingual contexts

Yuan

Setlock

Cosley

et al. 2013

Proceedings of the 2013 Conference on Computer Supported Cooperative Work

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“…Yamashita and colleagues [28,29,30], for example, have shown how the use of MT, as opposed to a shared second language, created confusion about the meaning of referring expressions between multilingual speakers. Wang et al [27] examined multilingual brainstorming conversations and found that both native and non-native English speakers viewed MTmediated messages as less comprehensible than English messages.…”

Section: Machine Translation As a Communication Toolmentioning

confidence: 99%

How beliefs about the presence of machine translation impact multilingual collaborations

Gao

Cosley

et al. 2014

Proceedings of the 17th ACM Conference on Computer Supported Cooperative Work &Amp; Social Computing

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Traditional communication tools tend to make their presence known, e.g., "when my collaborators and I are using IM to discuss our work, how could we not realize the actual presence of IM?" In the case of machine translation (MT) mediated collaborations, however, the absence or presence of MT is not obvious. English sentences with poor grammar can result from both a partner's lack of fluency and errors in the MT process. We hypothesize that partners' attributions about the source of the errors affects their collaboration experience. To test this hypothesis, we conducted a laboratory experiment in which monolingual native English speaking participants collaborated with bilingual native-Mandarin speakers on a map navigation task. Participants were randomly assigned into a 2 (beliefs about MT: absence vs. presence) by 2 (actual mediation of MT: absence vs. presence) experiment design. Beliefs about presence of MT significantly impacted the collaboration experience, opening new opportunities for both research and design around MT-mediated collaborations.

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“…One way to overcome this limitation is studying how machine translation affect the establishment of common ground, that is the mutual knowledge that people involved in a discussion share and the awareness of it. In fact, mutual knowledge and its awareness are both affected by the asymmetry of machine translation, which prevents the sender of a message to know whether it has been translated well and, consequently, accepted by the receiver [25].…”

Section: Svn Revision 19832mentioning

confidence: 99%

Can Real-Time Machine Translation Overcome Language Barriers in Distributed Requirements Engineering?

Calefato

Lanubile

Minervini

2010

2010 5th IEEE International Conference on Global Software Engineering

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In global software projects work takes place over long distances, meaning that communication will often involve distant cultures with different languages and communication styles that, in turn, exacerbate communication problems. However, being aware of cultural distance is not sufficient to overcome many of the barriers that language differences bring in the way of global project success. In this paper, we investigate the adoption of machine translation (MT) services in synchronous text-based chat in order to overcome any language barrier existing among groups of stakeholders who are remotely negotiating software requirements. We report our findings from a simulated study that compares the efficiency and the effectiveness of two MT services, Google Translate and apertium-service, in translating the messages exchanged during four distributed requirements engineering workshops. The results show that (a) Google Translate produces significantly more adequate translations than Apertium from English to Italian; (b) both services can be used in text-based chat without disrupting real-time interaction

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Difficulties in establishing common ground in multiparty groups using machine translation

Cited by 62 publications

References 15 publications

Understanding informal communication in multilingual contexts

Understanding informal communication in multilingual contexts

How beliefs about the presence of machine translation impact multilingual collaborations

Can Real-Time Machine Translation Overcome Language Barriers in Distributed Requirements Engineering?

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