WordNet-Shp: Towards the Building of a Lexical Database for a Peruvian Minority Language (L18-1)
Copied to clipboard
| Challenge: | WordNet-like resources are lexical databases with highly relevance information and data that could be exploited in more complex computational linguistics research and applications. |
| Approach: | They propose to build a WordNet database for a low-resourced and indigenous language in Peru . they propose to use word2vec similarity to compare definition glosses in a dictionary with the content of a Spanish WordNet . |
| Outcome: | The proposed database is based on a bilingual dictionary written in Spanish and an automatic evaluation process using a manually annotated Gold Standard in Shipibo-Koniba. |
Similar Papers
WordNet-QU: Development of a Lexical Database for Quechua Varieties (2022.coling-1)
Copied to clipboard
| Challenge: | Quechua is a low-resource language from south America but lacks resources to build high-performance computational systems. |
| Approach: | They propose to include Quechua in a lexical database called wordnet . they propose a synset alignment algorithm to compare Quechuan to its nearest high-resource language . |
| Outcome: | The proposed system compares Quechua to its nearest high-resource language, Spanish . it uses a synset alignment algorithm to find Quechuan resources in a lexical database . |
No Data to Crawl? Monolingual Corpus Creation from PDF Files of Truly low-Resource Languages in Peru (2020.lrec-1)
Copied to clipboard
| Challenge: | Existing methods for extracting text from PDF files are expensive and limited by the absence of web content of endangered languages. |
| Approach: | They propose a method for creating monolingual corpora for four endangered languages . they use a PDF file format with multilingual sentences and noisy pages . |
| Outcome: | The proposed method allows the creation of clean corpora for the four languages, a key resource for natural language processing tasks nowadays. |
A Survey on Automatically-Constructed WordNets and their Evaluation: Lexical and Word Embedding-based Approaches (L18-1)
Copied to clipboard
| Challenge: | WordNets are lexical databases in which groups of synonyms are stored according to the semantic relationships between them. |
| Approach: | This paper describes various approaches to constructing WordNets automatically by leveraging traditional lexical resources and newer trends such as word embeddings. |
| Outcome: | The proposed methods leverage traditional lexical resources and newer trends such as word embeddings to build and evaluate WordNets. |
A Dataset of Translational Equivalents Built on the Basis of plWordNet-Princeton WordNet Synset Mapping (2020.lrec-1)
Copied to clipboard
| Challenge: | a dataset of 11,000 Polish-English translational equivalents is presented . the dataset is a novum in the wordnet domain and can facilitate the precision of bilingual NLP tasks. |
| Approach: | They present a dataset of Polish-English translational equivalents linked by three types of equivalence links. |
| Outcome: | The proposed dataset contains 11,000 Polish-English translational equivalents . the resulting subsets are based on a manual annotation process and a set of formal features . |
ChAnot: An Intelligent Annotation Tool for Indigenous and Highly Agglutinative Languages in Peru (L18-1)
Copied to clipboard
| Challenge: | Linguistic corpus annotation is one of the most important phases for addressing natural language processing (NLP) tasks. |
| Approach: | They propose a web-based annotation tool for Peruvian indigenous and highly agglutinative languages that supports a variety of linguistic annotation tasks. |
| Outcome: | The proposed tool supports a diverse set of linguistic annotation tasks, such as morphological segmentation markup, POS-tag markup and other. |
Using Wiktionary to Create Specialized Lexical Resources and Datasets (2022.lrec-1)
Copied to clipboard
| Challenge: | Using Wiktionary data to build specialized lexical datasets can be used for evaluating or improving NLP tasks, like Word Sense Disambiguation (WSD), Word-in-Context challenges (WiC), or Machine Translation (MT). |
| Approach: | They propose to use Wiktionary data to create specialized lexical datasets that can be used for evaluating or improving NLP tasks. |
| Outcome: | The proposed datasets can be used to improve and/or evaluate NLP tasks, like Word Sense Disambiguation (WSD), Word-in-Context challenges (WiC), or Sense Linking (SL), or machine translation (MT). |
Evaluating Word Embeddings in Extremely Under-Resourced Languages: A Case Study in Bribri (2022.coling-1)
Copied to clipboard
| Challenge: | a case study of word embeddings in an under-resourced context is presented . Embeddings are critical for many NLP tasks, but their evaluation in actual under-sourced settings needs further investigation. |
| Approach: | They adapt word embeddings to an under-resourced indigenous language in Bribri . they find that the best models find the appropriate semantic target 60% of the time . |
| Outcome: | The proposed models were adapted to an under-resourced English language . the best models found the appropriate semantic target 60% of the time . |
Aligning Wikipedia with WordNet:a Review and Evaluation of Different Techniques (2020.lrec-1)
Copied to clipboard
| Challenge: | a reliable alignment between WordNet and Wikipedia is a valuable resource for the creation of new wordnets in other languages and for the development of existing wordnet. |
| Approach: | They evaluate methods for aligning Wikipedia articles with WordNet synsets . they use a new gold and silver standard and a method that creates wordnets in other languages . |
| Outcome: | The proposed methods can be used to evaluate the quality of alignments between Wikipedia and WordNet synsets. |
Empowering Low-Resource Regional Languages with Lexicons : A Comparative Study of NLP Tools for Morphosyntactic Analysis (2024.lrec-main)
Copied to clipboard
| Challenge: | a lack of human and financial resources makes integrating lexicon information to low-resource languages challenging. |
| Approach: | They propose to use a bilingual lexicon to integrate lexical information to low-resource language . they compare a lexiconal approach to a neural approach that uses a larger lexicone . |
| Outcome: | The proposed approach improves POS tagging while using different lexicon sizes. |
Methodological Aspects of Developing and Managing an Etymological Lexical Resource: Introducing EtymDB-2.0 (2020.lrec-1)
Copied to clipboard
| Challenge: | Diachronic lexical information is increasingly used in historical linguistics and in NLP . etymological resources need to be fine-grained, large-coverage and accurate . |
| Approach: | They propose guidelines to generate etymological lexical resources for each step of the life-cycle of an ethymology . they introduce EtymDB 2.0, an 'etiological database' generated from the Wiktionary . |
| Outcome: | The proposed resources are generated for each step of the life-cycle of an etymological lexicon: creation, update, evaluation, dissemination, and exploitation. |