• Corpus ID: 3624744

Revita: a system for language learning and supporting endangered languages

@inproceedings{Katinskaia2017RevitaAS,
  title={Revita: a system for language learning and supporting endangered languages},
  author={Anisia Katinskaia and Javad Nouri and Roman Yangarber},
  year={2017}
}
We describe a computational system for language learning and supporting endangered languages. The platform provides the user an opportunity to improve her competency through active language use. The platform currently works with several endangered Finno-Ugric languages, as well as with Yakut, and Finnish, Swedish, and Russian. This paper describes the current stage of ongoing development. 

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References

SHOWING 1-10 OF 21 REFERENCES

FAST – An Automatic Generation System for Grammar Tests

TLDR
This paper introduces a method for the semi-automatic generation of grammar test items by applying Natural Language Processing (NLP) techniques, and describes a prototype system FAST (Free Assessment of Structural Tests).

BANZAI: An Application of Natural Language Processing to Web-based Language Learning

TLDR
BANZAI is a new intelligent language tutor program developed by the author over the past two years that employs artificial intelligence (AI) and natural language processing (NLP) technology, which enables the program to read, parse, and correct sentences typed by learners.

FollowYou!: An Automatic Language Lesson Generation System

TLDR
The idea is to transform any text theLearner would like to read into a format as the learner would have seen in a textbook, with similar supporting materials to help the learners digest the text.

Second Language Vocabulary Learning: The Role of Context versus Translations as a Function of Proficiency

A widespread view of vocabulary learning is that it is advisable to make the shift away from learning words with their translations and to rely on second language (L2) context as soon as possible.

Computer Assisted Second Language Vocabulary Acquisition

TLDR
A computer assisted word acquisition programme (CAVOCA) is described which operationalises current theoretical thinking about word acquisition, and its contents are based on a systematic inventory of the vocabulary relevant for the target group.

Automatic Question Generation for Vocabulary Assessment

TLDR
Experimental results suggest that these automatically-generated questions give a measure of vocabulary skill that correlates well with subject performance on independently developed human-written questions and strong correlations with standardized vocabulary tests point to the validity of this approach to automatic assessment of word knowledge.

Automatic generation of cloze items for prepositions

TLDR
This paper proposes two methods, based on collocations and on non-native English corpora, to generate distractors for prepositions, found to be more successful in attracting users than a baseline that relies only on word frequency, a common criterion in past research.

A Selection Strategy to Improve Cloze Question Quality

We present a strategy to improve the quality of automatically generated cloze and open cloze questions which are used by the REAP tutoring system for assessment in the ill-defined domain of English

Knowledge Machines: Language and Information in a Technological Society

TLDR
Using real-life experiences and examples, the book provides a practical understanding of the social practices surrounding information technology and suggests possible solutions to the problems and dilemmas it generates.