Multilingual Dependency Parsing for Low-Resource Languages: Case Studies on North Saami and Komi-Zyrian

We have only used this approach based on multilingual word embed- dings for two different language groups in this experiment: (i) for resource-poor languages for which less than

2.3 Cross-lingual Dependency Parsing Cross-lingual dependency parsing encompasses several problems ranging from learning a parser for a target language relying solely on annotated

The mean average precision determined by the 11 search models is shown in Table III for the English and Korean collections, with the best performance under a given condition shown

Adaptor Grammars for the Linguist: Word Segmentation Experiments for Very Low-Resource Languages.. Workshop on Computational Research in Phonetics, Phonology, and Morphology, Oct

However, if the assignment is sent along with the TeSLA ID of the learner, it becomes technically possible for the instru- ments to keep track of a learner’s data over time, as well

In addition, we present a repeatable use case for low-resource languages: using neural machine translation with humans- in-the-loop to improve global access to health care

Because the Situation Frame annotation task was designed to support annotation of non-operational data of the type that is actually available for LORELEI languages,

Existing corpora of minority languages of Russia can be split into two groups: relatively small (almost always under 100,000 tokens) manually annotated collections,