Questions tagged [machine-translation]
Machine translation in a data science context refers to the process of using machine learning techniques to translate input provided in one language into output in another. It includes topics referring to using text/corpus data, neural machine translation (NMT), deep learning, and speech recognition.
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Machine Learning for analyzing and generating sentences from given text inputs
I'm trying to create a program that will translate Sign Language to Text and apply NLP so that the text is understandable to human. I've used CNN for recognizing sign language but I don't know how to ...
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1answer
35 views
Reason for adding 1 to word index for sequence modeling
I notice in many of the tutorials 1 is added to the word_index. For example considering a sample code snippet inspired from <...
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1answer
62 views
Why are mBART50 language codes in an unusual format?
I am trying to use mBART for multilingual translation(about 30 languages) but I am facing an issue with using it as I am currently using langid to identify the languages then load mBART and translate ...
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1answer
32 views
Issue translating large amounts of tweets using Google Translate
I am working on translating large amounts of tweets using this deep-translator which uses the Google Translate API.
Initially everything was fine and tweets were translated with no problems whatsoever ...
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31 views
Custom Machine translation not giving correct output even when using the training data for prediction
Python : 3.7
Tensorflow : 2.3
model :
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1answer
28 views
I want to start studying the field of machine translation [closed]
I've studied Japanese language and literature and passed some linguistic courses and now as for my masters, I want to study natural language processing and especially machine translation. so I tried ...
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1answer
27 views
How to create a Document Categorization Classifier for different contexts of Documents
I have a doubt solving a test. The idea here is to demonstrate the NLP and Machine Translation abilities.
The Dataset is a multilingual, multi-context set of documents. The dataset is divided on ...
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1answer
17 views
Question of pretraining text-generation task, it seems that pretraining is not work for a small model?
My task is to generate keywords from sentences.
I pretrain a text-generation model. I mask the sentences' tokens and predict the whole sentences' tokens.
Pretraining batch_size = 8 and step = 1000000
...
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1answer
29 views
Passing Dependency/Constituency trees to a Neural Machine Translator
I am working on a project on Neural Machine Translation in the English-Irish domain. I am not an expert and have researched entirely on my own for a technology exhibition so apologies if my question ...
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263 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 ...
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1answer
134 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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1answer
1k 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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1answer
31 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
46 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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0answers
13 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
267 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 (...
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1answer
437 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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27 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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2answers
288 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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148 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:
...
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1answer
1k 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 ...
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2answers
4k 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
1k 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 ...
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2answers
125 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
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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
51 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
3k 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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171 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 ...
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2answers
89 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
373 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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0answers
71 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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0answers
17 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
1k 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
190 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 ...
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1answer
211 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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1answer
117 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
37 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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1answer
1k 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 ...
3
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0answers
25 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
245 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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2answers
83 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
670 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 ...
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1answer
340 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 ...
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1answer
787 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 ...
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0answers
700 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)...
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1answer
35 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 ...
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1answer
304 views
word/sentence alignment for English document
I have an English document, which is preprocessed into two versions. I want to align words or sentences from these two versions of the document. A simple example is as below:
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1answer
1k 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?
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113 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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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 ...
