Questions tagged [machine-translation]
The machine-translation tag has no usage guidance.
64
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17 views
What is the difference between register_buffer() and parameter.detach() in PyTorch?
I am writing a PositionalEmbedding() module which is an implementation based on "Attention Is All You Need" using PyTorch. According to the paper, there ...
1
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1answer
29 views
Unusually High BLEU score on a NMT model
This is the project on Neural Machine Translation on the English/Irish language pair. I have been spending the past month or so trying to train a good baseline to do 'experimentation' on. I have a ...
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0answers
50 views
BPE vs WordPiece Tokenization - when to use / which?
What's the general tradeoff between choosing BPE vs WordPiece Tokenization? When is one preferable to the other? Are there any differences in model performance between the two? I'm looking for a ...
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0answers
15 views
Attention network without hidden state?
I was wondering how useful the encoder's hidden state is for an attention network. When I looked into the structure of an attention model, this is what I found a model generally looks like:
...
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1answer
43 views
Predicting correct match of French to English food descriptions
I have a training and test set of food descriptions pairs (please, see example below)
First name in a pair is a name of food in French
and second word is this food description in English.
Traing set ...
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8 views
Which is the best way to install Moses for SMT?
I have tried many ways but it always ended up in error. My Configuration: Ubuntu 16.04, Python 3.6.10 The error that I am unable to solve is: undefined reference to
...
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1answer
104 views
Feeding XLM-R embeddings to neural machine translation?
I’m very new to the field of deep learning. My aim is to make a translation between Catalan to Catalan Sign Language. The grammar of the two languages is different
Input: He sells food.
Output (...
0
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1answer
99 views
Transformer seq2seq model and loading embeddings from XLM-RoBERTa
Is it possible to feed embeddings from XLM- RoBERTa to transformer seq2seq model? I'm working on NMT that translates verbal language sentences to sign language sentences (e.g Input: He sells food. ...
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11 views
Statistical Machine Translation Resource
I am looking to develop a machine translation tool for a constructed language from and into English.
In particular, I'm interested in statistical tools that take as input:
a parallel corpus,
a ...
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0answers
19 views
Seq2Seq for sentence correction
I have a task in hand where I get a dirty formed sentence and need to correct it. Examples are, "StackOverflow best question answering platform" to be converted to "StackOverflow is best question ...
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0answers
36 views
Seeking your advice on XLM-R for NMT
I want to use XLM-R for neural machine translation b/n the same low resource language?
For example: Input-> He sells food(in Catalan) Output-> Food he sells(in Catalan)
Anyone having code example/...
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2answers
81 views
Language translation with convolutional neural network
Many examples of language translation neural networks:
"the cat sat on the mat" -> [model] -> "le chat etait assis sur le tapis"
use RNN, and in particular LSTM. See for example Sentences language ...
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81 views
How can I finetune XLM-R for neural machine translation between the same language(Catalan to Catalan-with different grammar structure))?
Can I fine-tune XLM-R to do something similar to https://www.guru99.com/seq2seq-model.html
(encoder-decoder architecture or any other way that perform good in small dataset - around 1000)
For example:
...
1
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1answer
406 views
Can I fine-tune BERT, ELMO or XLnet for Seq2Seq neural machine translation?
I'm working on neural machine translator that translates English sentences to American sign language sentences(e.g below). I've a quite small dataset - around 1000 sentence pairs. I'm wondering if it ...
19
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2answers
3k views
What is the bleu score of professional human translators?
Machine translation models are usually evaluated using bleu score. I want to get some intuition for this score. What is the bleu score of professional human translator?
I know it depends on the ...
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1answer
402 views
Is it possible feed BERT to seq2seq encoder/decoder NMT (for low resource language)?
I'm working on NMT model which the input and the target sentences are from the same language (but the grammar differs). I'm planning to pre-train and use BERT since I'm working on small dataset and ...
3
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2answers
80 views
Sentences language translation with neural network, with a simple layer structure (if possible sequential)
Context: Many language sentences translation systems (e.g. French to English) with neural networks use a seq2seq structure:
"the cat sat on the mat" -> [Seq2Seq ...
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2answers
1k views
Why is the decoder not a part of BERT architecture?
I can't see how BERT makes predictions without using a decoder unit, which was a part of all models before it including transformers and standard RNNs. How are output predictions made in the BERT ...
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1answer
27 views
Should the data be shuffled on a translation dataset
As reference to Why should the data be shuffled for machine learning tasks I was curious if this is the case for neural-machine-translation.
I would like to analyze why I think this is the case for ...
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1answer
1k views
How can I feed BERT to neural machine translation?
I am trying to feed the input and target sentences to an NMT model, I am trying to use BERT here, But I don't have any idea how ...
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0answers
72 views
Weight matrices in transformers
I am trying to understand the transformer architecture.
I am aware that the encoder/decoder contains multiple stacked self attention layers. Further each layer contains multiple heads. For example ...
1
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2answers
55 views
where to start in natural language processing for a language
My native language is a regional language and few people speak it. I have some assignements in a machine learning course and i was thinking about doing some natural languge processing on my native ...
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1answer
227 views
Help making a custom categorical loss function in Keras
I am a bit new to machine learning, and I'm trying to get the basics working towards a bigger project using a very simple encoder-decoder model. It looks like this:
...
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8 views
How to generate alignments for word-based translation models if number of words are different in both sentences
I am working on implementing IBM Model 1. I have a parallel corpus of some 20,00,000 sentences (English to Dutch). Also, the sentences of the two docs are already aligned. Aim is to translate a Dutch ...
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0answers
16 views
Can BERT embeddings be used to reproduce the original content of the text?
From what I understand, BERT provides contextualized embeddings that are not deterministic the way Word2Vec embeddings (i.e. the word "Queen" doesn't always produce the same vector, it'll be different ...
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96 views
nlp: Translation System: Transformer/GPT2 model: Why do we need to mask future tokens?
I am trying to understand the whole concept of masking the tokens in the transformer/gpt2 model. In this blog post, http://jalammar.github.io/illustrated-gpt2/ the author takes an example where " the ...
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0answers
16 views
searching for vocabulary for machine translation
Searching for DE-EN vocabulary, that I can use in my machine translation.
It should consist of DE-EN phrases, words, sentences etc.
Got one from here http://www.manythings.org/anki/ , but searching ...
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3answers
688 views
Using Google Translate API to create a Translation Dataset
Is it a good idea? ;-)
Is it legal to do so? Is it legal to release such a dataset to public?
Say I have a language X for which I want to create a dataset for translation to/from English, for which I ...
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1answer
121 views
NMT, What if we do not pass input for decoder?
For transformer-based neural machine translation (NMT), take English-Chinese for example, we pass English for encoder and use decoder input(Chinese) attend to encoder output, then final output.
What ...
2
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0answers
79 views
What is Bit Per Character?
What is Bits per Character (bpc) metric which has been used to measure the model accuracy with reference to text8 and ...
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0answers
36 views
What is the impact of <unk> token to quality of machine translation (BLEU)
i've read some papers about machine translation. Authors usually define a threshold to limit vocabulary to minimum rare words and replace rare words into token. So the question is if we increase the ...
1
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1answer
66 views
Why is hard for neural machine translation model to learn rare words?
i'm kinda new with neural machine translation. I've read some papers, authors usually limit the size of vocabulary by replace rare words by unk token. In this paper, they said that "...NMT model ...
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1answer
30 views
Is it normal when BLEU score on filtered data by length is greater than BLEU score on whole data
I am creating 2 neural machine translation model (model A and B with different improvements each model) with fairseq-py. When I evaluate model with bleu score, model A BLEU score is 25.9 and model C ...
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51 views
How does embedding layer works in pytorch with neural machine translation?
as i mentioned on title, How does pytorch embedding layer works in machine translation task ? As i know that we can use CBOW or Skip-gram to create pretrained embedding vectors for our translation ...
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1answer
589 views
Multi-Head attention mechanism in transformer and need of feed forward neural network
After reading the paper, Attention is all you need, I have two questions:
1. What is the need of a multi-head attention mechanism?
The paper says that:
"Multi-head attention allows the model to ...
2
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0answers
23 views
Back-Translation model for German and English
Do you know of any pre-trained models for back translation between German and English? I am aware that there are ways to include a monolingual corpus into the training of a machine translation model (...
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2answers
118 views
Embedding Values in word2vec
Are the embedding values for a particular word using word2vec Skipgram model the weights of the first layer or the softmax output of the function?
Does the embedding value change according to the ...
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1answer
40 views
What is used for Machine Translation besides RNN
I am doing a university report and it seems that encode-decode RNN are optimal for Machine Translation. I need something else to compare it to but I can't seem to make a proper google search for it.
...
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1answer
453 views
How to build a machine translation system for a new language
I am trying to figure out what are the options for building a natural language translation model for a language that is not yet supported by existing machine translations.
The project is to build a ...
2
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1answer
268 views
Implementing back translation as a data augmentation for text classification
Since back translation English->other language -> English seems like quite a useful data augmentation technique , I wanted to experiment with it. E.g. it occurred to me that languages from very ...
2
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1answer
305 views
How to create a language translator from scratch?
I want to create a translator which can translate English, Korean and Tamil sentences into English sentence, I tried googletrans but is there any way to create something better than that using DL and ...
2
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0answers
680 views
How to train tensorflow's transformer model on my own data?
https://github.com/tensorflow/models/blob/master/official/transformer has an implementation of transformer model.
I want to train the model on my own data(consisting of two files, src.txt, and tgt.txt)...
2
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1answer
32 views
Statistical machine translation word alignment for FR-ENG and ENG-FR: what is p(e) and p(f)?
I'm currently trying to implement this paper, but am struggling to understand some of the math here. I'm pretty sure I understand how to implement the E-step, but for the M-step, I'm confused on how ...
2
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1answer
217 views
word/sentence alignment for English document
I have a English document, which is preprocessed into two versions. I want to align words or sentences from these two versions of document. A simple example is as below:
...
2
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1answer
943 views
Is there a dataset with news articles and their headlines? [closed]
I need a set of news headlines and articles to help me in a project on automatic summarization. Is there such a dataset or something similar?
2
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0answers
105 views
Encoder-Decoder Sequence-to-Sequence Model for Translations in Both Directions
Is it possible to use a pre-trained sequence to sequence encoder-decoder model which translates an input text in source language to an output in target language to do an inverse translation? That is, ...
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0answers
17 views
How can we predict Geo Tagged Pollution Parameters using a Machine Learning Model with an Android Device?
Newly installed Pollution Control Sensory Platforms are dumping Continous/Discrete Environment Pollution Parametric Data from various locations.
Whats the best format structured or Unstructured of ...
0
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1answer
821 views
Do we really need `<unk>` tokens?
I am wondering, do we really need <unk> tokens?
Why do we limit our vocabulary?
Is it for speed? Accuracy?
If we disable all limitations, what do you ...
5
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2answers
6k views
Is there “Attention Is All You Need” implementation in Keras?
Has anyone seen this model's implementation using Keras?
inb4: tensorflow, pytorch
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1answer
5k views
Problem with keras model loading
I want to use this keras seq2seq example to train my model. But i dont undestand role of encoder and decoder model and why we dont use model which we trained here.
model.fit([encoder_input_data, ...
