Papers with Dictionaries
Collocations in Russian Lexicography and Russian Collocations Database (2020.lrec-1)
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| Challenge: | Existing methods for collocation extraction cannot be considered perfect, argues a new study. |
| Approach: | They propose to build a database that will include dictionary and statistical collocations in Russian . the database will be based on dictionaries and online systems that describe collocation . |
| Outcome: | The proposed database will include dictionary and statistical collocations in Russian . the results can be useful for machine learning and for other NLP tasks . |
DictDis: Dictionary Constrained Disambiguation for Improved NMT (2024.findings-emnlp)
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| Challenge: | Existing approaches to domain-specific neural machine translation (NMT) are lexically constrained and draw from domain- specific dictionaries. |
| Approach: | They propose a lexically constrained neural machine translation system that disambiguates between multiple dictionary candidates. |
| Outcome: | The proposed system disambiguates between multiple candidate translations derived from dictionaries on English-Hindi, English-German, and English-French datasets. |
Developing Resources for Automated Speech Processing of Quebec French (2020.lrec-1)
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| Challenge: | acoustic models for automatic segmentation of Quebec French are not available for all languages . linguistic resources are developed to perform phonetic annotations in Quebec French . physical characteristics of speech can be observed in the production of sounds . |
| Approach: | They propose to use a French lexicon to train automatic QF segmentation models . they adapt existing pronunciation dictionary and acoustic model from existing ones . |
| Outcome: | The proposed tools perform the full process of speech segmentation in Quebec French. |