1 |
How Well Do LSTM Language Models Learn Filler-gap Dependencies?
|
|
|
|
In: Proceedings of the Society for Computation in Linguistics (2022)
|
|
BASE
|
|
Show details
|
|
2 |
Using Interlinear Glosses as Pivot in Low-Resource Multilingual Machine Translation ...
|
|
|
|
BASE
|
|
Show details
|
|
5 |
Language Technologies for Humanitarian Aid ...
|
|
|
|
Abstract:
Humanitarian aid missions, whether emergency famine relief, establishment of medical clinics, or missions in conjunction with peace-keeping operations, require on-demand communication with the indigenous population. If such operations take place in countries with a commonly-spoken major language, such as English or Spanish, it proves relatively easy to find participating personnel with the appropriate linguistic fluency. However, such is not the case when the operations take place in regions where less common languages are spoken, such as Bosnia (language: Serbo-Croatian), Haiti (language: Haitian Creole), Somalia (language: Somali, a.k.a. “Soomaaliga”), or Afghanistan (language: Pashto, with subpopulations of Urdu and Tadjik speakers). Even in Latin America, where Spanish and Portuguese dominate, there are over 100 indigenous languages, including Quechua in Peru, Aymara in Bolivia, Mapudungun in Southern Chile, and the Tucan languages in the Southern Colombian Putumayo region. Many native speakers of these ...
|
|
Keyword:
80399 Computer Software not elsewhere classified; FOS Computer and information sciences
|
|
URL: https://dx.doi.org/10.1184/r1/6622793.v1 https://figshare.com/articles/Language_Technologies_for_Humanitarian_Aid/6622793/1
|
|
BASE
|
|
Hide details
|
|
6 |
Adapting Word Embeddings to New Languages with Morphological and Phonological Subword Representations ...
|
|
|
|
BASE
|
|
Show details
|
|
8 |
ParaMor: Minimally-Supervised Induction of Paradigm Structure and Morphological Analysis ...
|
|
|
|
BASE
|
|
Show details
|
|
11 |
Polyglot Neural Language Models: A Case Study in Cross-Lingual Phonetic Representation Learning ...
|
|
|
|
BASE
|
|
Show details
|
|
12 |
Proceedings of the Grammar Engineering Across Frameworks (GEAF) 2015 Workshop
|
|
|
|
In: The 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing ; https://hal.archives-ouvertes.fr/hal-01181344 ; The 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing, Jul 2015, Beijing, China. Association for Computational Linguistics, 2015 (2015)
|
|
BASE
|
|
Show details
|
|
13 |
Statistical modality tagging from rule-based annotations and crowdsourcing ...
|
|
|
|
BASE
|
|
Show details
|
|
14 |
Use of Modality and Negation in Semantically-Informed Syntactic MT ...
|
|
|
|
BASE
|
|
Show details
|
|
17 |
Semantically-Informed Syntactic Machine Translation: A Tree-Grafting Approach ...
|
|
|
|
BASE
|
|
Show details
|
|
18 |
Use of Modality and Negation in Semantically-Informed Syntactic MT
|
|
|
|
In: DTIC (2012)
|
|
BASE
|
|
Show details
|
|
19 |
Statistical Modality Tagging from Rule-based Annotations and Crowdsourcing
|
|
|
|
BASE
|
|
Show details
|
|
20 |
Use of Modality and Negation in Semantically-Informed Syntactic MT
|
|
|
|
BASE
|
|
Show details
|
|
|
|