under-resourced languages
Word-length algorithm for language identification of under-resourced languages
... for under-resourced ...on under-resourced languages, especially languages that have not been investigated in the past (Botha and Barnard, ...
13
Using Resource Rich Languages to Improve Morphological Analysis of Under Resourced Languages
... of languages for which such systems are available is small compared to the nearly 7000 lan- guages (Maxwell and Hughes, 2006) spoken on the ...Most languages are under-resourced, lacking not ...
5
An Unsupervised Word Sense Disambiguation System for Under Resourced Languages
... Slavic languages in gen- eral – and technical challenges like the lack of software and language resources required for addressing the ...for under-resourced ...
5
WordNet Gloss Translation for Under resourced Languages using Multilingual Neural Machine Translation
... target languages are trained simultaneously without changes to the network ...the under-resourced languages use different scripts which limits the application of these multilingual ...the ...
7
Context Dependent Multilingual Lexical Lookup for Under Resourced Languages
... Current approaches for word sense dis- ambiguation and translation selection typ- ically require lexical resources or large bilingual corpora with rich information fields and annotations, which are often infeasible for ...
6
Fast Bootstrapping of Grapheme to Phoneme System for Under resourced Languages Application to the Iban Language
... regional languages and dialects which now coexist with the national ...spoken languages in the world, many are those for which the tech- nologies for written and spoken natural language processing are ...
8
RBMT as an alternative to SMT for under resourced languages
... for under-resourced ...several languages, reusing software and linguistic resources, relying on a pivot architecture, opening our linguistic sources and letting any group of users the possibility to ...
5
CUNI x ling: Parsing Under Resourced Languages in CoNLL 2018 UD Shared Task
... This is a system description paper for the CUNI x-ling submission to the CoNLL 2018 UD Shared Task. We focused on parsing under-resourced languages, with no or little training data available. We em- ...
10
Lemmatisation for under-resourced languages with sequence-to-sequence learning: A case of Early Irish
... agglutinative languages, simultaneously learns lemmas and PoS-tags using maximum entropy ...15 languages, including Basque, Hebrew, Korean, Estonian, French and Arabic ...
12
Unsupervised Word Class Induction for Under resourced Languages: A Case Study on Indonesian
... The morpho-syntactic study presented in this paper is specific to Indonesian, but these lexical changes initiated by morphological processes can be a source of investigation into syntactico- semantic properties of ...
7
Exploiting and Evaluating a Supervised, Multilanguage Keyphrase Extraction pipeline for under-resourced languages
... After the identification of the candidate keyphrases we assign to each of them seven features. Most of the features assigned to can- didate keyphrases rely simply on statistical and structural information (like the ...
8
Character Based Pivot Translation for Under Resourced Languages and Domains
... BLEU, NIST, METEOR etc. The same simple post-processing as mentioned in the previous sec- tion can be applied to turn the character transla- tions into “normal” text. However, it can be use- ful to look at some other ...
11
Political News Sentiment Analysis for Under resourced Languages
... for languages suffering from a lack of such resources, such as Norwegian, this strategy would be too ...Norwegian languages, in the present paper we present a very simple method where only the presence of ...
8
Automated Text Simplification as a Preprocessing Step for Machine Translation into an Under-resourced Language
... into under-resourced languages is still facing a number of ...those languages (including Serbian) have a very rich morphology and suffer from data spar- sity when it comes to less frequently ...
10
Adapting Term Recognition to an Under Resourced Language: the Case of Irish
... In order to evaluate this approach we manually annotated a small section of the Wikipedia corpus. In total we annotated 11 documents consisting of 5,178 words and found among those 846 terms. This annotation was carried ...
10
Using out-of-language data to improve an under-resourced speech recognizer
... in languages other than the target lan- ...for under-resourced languages: using only six minutes of Afrikaans data (in combination with out-of-language data), KL-HMM yields about 30% relative ...
15
Researching Less Resourced Languages – the DigiSami Corpus
... for under-resourced languages during the past ...minority languages, while the Flare- net network and the LRE Map (Calzolari et ...endangered languages as those for majority ...
5
Exploring Confidence based Self training for Multilingual Dependency Parsing in an Under Resourced Language Scenario
... This paper presents a novel self-training approach that we use to explore a sce- nario which is typical for under-resourced languages. We apply self-training on small multilingual dependency corpora ...
9
ASR for Documenting Acutely Under Resourced Indigenous Languages
... for under-served languages, is geared toward languages with numerous speakers and large amounts of digitally available text ...low-resource languages is the BULB project (Adda et ...
6
Clinical vignettes and global health considerations of infertility care in under-resourced patients
... coverage under the Boston Medical Center Health- Net ...However, under the HealthNet plan, only those customers who have a Massachusetts Health Connector qualified health plan, ConnectorCare, a commercial ...
7