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There are several fringe that still bugs the MT evaluation metrics in `nltk.translate`.
The BLEU related issues are mostly resolved in #1330. But similar issues happens in RIBES and CHRF too:
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Things to consider and improve:
1. Headings
- [x] (center-justify the headings)
- [x] left-justify the linguistic word-content, i.e. the Cree words in the non-row/column-header cells
- [ …
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By default, the subsumer matrix contains _all_ subsumers, and thus the semantic similarity metrics computed with it uses the entire superclass hierarchy.
For phenotype dependency and mutual exclusi…
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Hi all, I am trying to process T2 relaxation data in a naive rat brain with a mask covering just to corpus callosum as that is what we are mainly interested in. The data was collected at 21T, so it is…
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At present, we are maintaining three representations of the available trained models on inphodata.
- https://github.com/inpho/inphosemantics-frontend/blob/master/data/inphosemantics-directory.json
- a…
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Hi Kumar
I'm learning about speech recognition and I want to know if there is any pretrained model that I can download to test it?
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Python version 2.7.12
gensim version 0.13.2
I'm serializing my corpus into Blei LDA-C format using `corpora.BleiCorpus.serialize(filename, corpus)` which is then later used in a dynamic topic mode…
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Hi,
Thanks so much for the great project - SBERT! I am fine-tuning a classification task using the pre-trained `bert-base-uncased` in SBERT. I am trying to understand how the accuracy of binary class…
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**Context**
Tatoeba has a tool for editing the term indices associated with about 140,000 Japanese sentences (see https://tatoeba.org/en/sentence_annotations/show/210739). These indices are used by m…