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Found 14 papers, 1 papers with code
Language Technologies for Low Resource Languages: Sociolinguistic and Multilingual Insights
There is a growing interest in building language technologies (LTs) for low resource languages (LRLs).
Open Machine Translation for Low Resource South American Languages (AmericasNLP 2021 Shared Task Contribution)
This paper describes the team (“Tamalli”)’s submission to AmericasNLP2021 shared task on Open Machine Translation for low resource South American languages.
How “open” are the conversations with open-domain chatbots? A proposal for Speech Event based evaluation
To clarify the boundaries of “openness”, we conduct two studies: First, we classify the types of “speech events” encountered in a chatbot evaluation data set (i. e., Meena by Google) and find that these conversations mainly cover the “small talk” category and exclude the other speech event categories encountered in real life human-human communication.
Who is bragging more online? A large scale analysis of bragging in social media
Bragging is the act of uttering statements that are likely to be positively viewed by others and it is extensively employed in human communication with the aim to build a positive self-image of oneself.
Predicting Machine Translation Performance on Low-Resource Languages: The Role of Domain Similarity
Fine-tuning and testing a multilingual large language model is expensive and challenging for low-resource languages (LRLs).
Representativeness as a Forgotten Lesson for Multilingual and Code-switched Data Collection and Preparation
Multilingualism is widespread around the world and code-switching (CSW) is a common practice among different language pairs/tuples across locations and regions.
Investigating Reproducibility at Interspeech Conferences: A Longitudinal and Comparative Perspective
We find that despite having a close number of accepted papers to the other conferences, Interspeech has up to 40% less source code availability.
Learning from Partially Annotated Data: Example-aware Creation of Gap-filling Exercises for Language Learning
Since performing exercises (including, e. g., practice tests) forms a crucial component of learning, and creating such exercises requires non-trivial effort from the teacher, there is a great value in automatic exercise generation in digital tools in education.
The Open-domain Paradox for Chatbots: Common Ground as the Basis for Human-like Dialogue
There is a surge in interest in the development of open-domain chatbots, driven by the recent advancements of large language models.
A Survey of Code-switching: Linguistic and Social Perspectives for Language Technologies
To fill this gap, we offer a survey of code-switching (C-S) covering the literature in linguistics with a reflection on the key issues in language technologies.
How "open" are the conversations with open-domain chatbots? A proposal for Speech Event based evaluation
To clarify the boundaries of "openness", we conduct two studies: First, we classify the types of "speech events" encountered in a chatbot evaluation data set (i. e., Meena by Google) and find that these conversations mainly cover the "small talk" category and exclude the other speech event categories encountered in real life human-human communication.
Resources for Turkish Natural Language Processing: A critical survey
This paper presents a comprehensive survey of corpora and lexical resources available for Turkish.
Automatic Identification and Classification of Bragging in Social Media
Bragging is a speech act employed with the goal of constructing a favorable self-image through positive statements about oneself.
Computational Sociolinguistics: A Survey
Language is a social phenomenon and variation is inherent to its social nature.
