megahr-crossling

KO | EN

gitlite — search

#javascript #python #hacktoberfest #react #ai #typescript #llm #go #golang #android #machine-learning #rust #deep-learning #linux

megahr-crossling

(★ 11)

Predictions on concreteness and imageability of words in 77 languages

megahr-crossling 최신버젼 다운로드

최종 버전 다운로드 (.zip)

// repository documentation

Was this content helpful?

★ 0 (0 ratings)

# megahr-crossling

This repository contains predictions on concreteness and imageability of words in 77 languages.

The predictions are based on supervised learning on the [MEGAHR repository](http://megahr.ffzg.hr/) for response variables and [the Facebook cross-lingual word embeddings](https://github.com/Babylonpartners/fastText_multilingual) for explanatory variables.

The experiments identifying the optimal transfer method are described in the paper cited below. Please cite this paper if you use any part of this repository.

```
@inproceedings{ljubesic18-predicting,
  author    = {Nikola Ljube\v{s}i\'{c} and Darja Fi\v{s}er and Anita Peti-Stanti\'{c}},
  title     = {Predicting Concreteness and Imageability of Words Within and Across Languages via Word Embeddings},
  booktitle = {Proceedings of the 3nd Workshop on Representation Learning for NLP, RepL4NLP@ACL 2018, Melbourne, Australia, July 20, 2018},
  year      = {2018}
}
```

Each of the files contains (word, concreteness prediction, imageability prediction) triples, one per line, with tab-separated values. Both variables were defined in the initial MEGAHR resource on a Likert scale from 1 to 5. The predictions, however, can surpass the limits of this scale.

For each language there are three files generated, ```megahr.[lang_code]```, a file sorted by decreasing word frequency, ```megahr.[lang_code].sort.c```, a file sorted by concretenss predictions, and ```megahr.[lang_code].sort.i```, a file sorted by imageability predictions.

megahr-crossling

megahr-crossling 최신버젼 다운로드

오늘의 추천 프로젝트

Was this content helpful?

Recent Feedback

megahr-crossling

megahr-crossling 최신버젼 다운로드

오늘의 추천 프로젝트

Was this content helpful?

Recent Feedback

Download README