Table of Contents
How do you evaluate machine translation quality?
This is usually done on a scale of 1-10 (or a percentage), ranging from “very bad quality” to ‘flawless quality. ‘ Another way to evaluate machine translation is by its adequacy, i.e. how much of the source text meaning has been retained in the target text.
Which evaluation is used in machine translation?
The Word error rate (WER) is a metric based on the Levenshtein distance, where the Levenshtein distance works at the character level, WER works at the word level. It was originally used for measuring the performance of speech recognition systems but is also used in the evaluation of machine translation.
Which machine translation is the best?
5 best machine translation software options in the market
- Google Translate. Google Translate needs no introduction, being probably the most well-known machine translation software out there.
- DeepL Translator.
- Bing Microsoft Translator.
- SYSTRAN Translate.
- Amazon Translate.
What is translation evaluation?
1. A method of examining translations that focuses on marking or scores. This term is often confused or conflated with translation assessment. Learn more in: The ATA Flowchart and Framework as a Differentiated Error-Marking Scale in Translation Teaching.
How does bleu score work?
BLEU (BiLingual Evaluation Understudy) is a metric for automatically evaluating machine-translated text. The BLEU score is a number between zero and one that measures the similarity of the machine-translated text to a set of high quality reference translations.
How is Bleu calculated?
Finally, to calculate the Bleu Score, we multiply the Brevity Penalty with the Geometric Average of the Precision Scores. Bleu Score can be computed for different values of N. Typically, we use N = 4.
How accurate is machine translation?
There is no hard and fast way of assessing how good MT is as a translator, but depending on the pair of languages subject to a translation there is an accuracy rate of between 60 and 80%.
How do you test the quality of translation?
The 5-point approach to assessing translation quality (without a translation test sample)
- Ask for samples of work from similar clients.
- Go in-depth on process and project management.
- Be clear about your perceived success criteria.
- Conduct a small, paid pilot project.
How do you judge the quality of translation?
The following factors can determine translation quality:
- Translated content rightly conveys the meaning of the original text.
- Words and expressions used are in-line with the target audience.
- No room for spelling mistakes and grammatical errors.
- Follow guidelines for dates, addresses, and measurements.
What is a good BLEU score?
Interpretation
| BLEU Score | Interpretation |
|---|---|
| 30 – 40 | Understandable to good translations |
| 40 – 50 | High quality translations |
| 50 – 60 | Very high quality, adequate, and fluent translations |
| > 60 | Quality often better than human |
How do you evaluate the NLP?
Some common intrinsic metrics to evaluate NLP systems are as follows:
- Accuracy.
- Precision.
- Recall.
- F1 Score.
- Area Under the Curve (AUC)
- Mean Reciprocal Rank (MRR)
- Mean Average Precision (MAP)
- Root Mean Squared Error (RMSE)
What is a reasonable BLEU score?
Bleu Scores are between 0 and 1. A score of 0.6 or 0.7 is considered the best you can achieve. Even two humans would likely come up with different sentence variants for a problem, and would rarely achieve a perfect match.
What are the problems of machine translation?
Many factors contribute to the difficulty of machine translation, including words with multiple meanings, sentences with multiple grammatical structures, uncertainty about what a pronoun refers to, and other problems of grammar. But two common misunderstandings make translation seem altogether simpler than it is.
Do professional translators use machine translation?
Large projects: Translators often use machine translation on larger projects to quickly work through the content, in full, so they can move straight on to the editing process. Subtitles: Machine translation can drastically speed up the subtitling process by offering a quick draft for review.
How do you judge a translation?
Ultimately, a translation should read as though it was written in the target language. A good translation should NOT add information to the source content or modify the style, tone, or meaning of the original in any way. An exception applies when dealing with marketing and advertising content.
‘ Another way to evaluate machine translation is by its adequacy, i.e. how much of the source text meaning has been retained in the target text. This is normally rated on a scale from ‘no meaning retained’ all the way through to ‘all meaning retained’.
How do you measure translation quality?
Here are a few ways to ensure you are doing your due diligence to verify translation quality.
- In-House Checks.
- Back Translation.
- Send the Translation to Another Linguist or Company.
- Do Spot Checks Yourself with a Machine Translator.
- Pre-Vet Your Translation Provider.
Which metrics are used in machine translation?
The use of automatic metrics for system optimization of MT systems represents a significant breakthrough in the field of machine translation that has been used heavily in the GALE program. Eight automatic metrics are discussed in this part: BLEU, NIST, METEOR, and WER, PER, GTM, TER, and CDER.
How do you calculate bleu score in Python?
We first compute the n-gram matches sentence by sentence. Next, we add the clipped n-gram counts for all the candidate sentences and divide by the number of candidate n-grams in the test corpus to compute a modified precision score, pn, for the entire test corpus.
What is QA in translation?
Translation Quality Assurance is a comprehensive tool that checks for machine-detectable errors while you translate in a translation management software.
What are the qualities of a good translation?
In general, a good translation service should be fast and reliable and done by certified translators to ensure high-quality output in various languages….Top Qualities of a Good Translation
- Accuracy.
- Clarity.
- Authenticity.
- Appropriate tone and style.
- Cultural appropriateness.
- Consistency.
- Contemporary language.
What is translation quality?
Translation quality is the degree to which a translation meets specific predefined standards or requirements. It can be determined according to established industry standards or in relation to specific context-related attributes.
What is evaluation in translation studies?
By ‘evaluation’ the author refers to how a translator’s subjective stance manifests itself linguistically in a text.
between 0 and 1
Bleu Scores are between 0 and 1. A score of 0.6 or 0.7 is considered the best you can achieve. Even two humans would likely come up with different sentence variants for a problem, and would rarely achieve a perfect match.
Why is machine translation so hard?
Why Machine Translation Is Hard. Many factors contribute to the difficulty of machine translation, including words with multiple meanings, sentences with multiple grammatical structures, uncertainty about what a pronoun refers to, and other problems of grammar.
What is blue score in NLP?
BLEU, or the Bilingual Evaluation Understudy, is a score for comparing a candidate translation of text to one or more reference translations. Although developed for translation, it can be used to evaluate text generated for a suite of natural language processing tasks.
What is Meteor score?
A Meteor (Metric for Evaluation of Translation with Explicit ORdering) Score is a MT metric that is based on the harmonic mean of unigrams’ precision and recall.
What is language quality assessment?
Linguistic Quality Assessment (LQA) is the process of evaluating the linguistic quality of a translated document according to a set of pre-standardized criteria.
What is the most important quality of a good translator?
The Most Important Qualities of a Good Translator? A good translator should have good research skills, and the ability to write creatively in their target language. They should also have a good attention to detail. Without a good attention to detail, there’s more room for mistakes in their translations.
What is very important in evaluation of translation?
First and foremost, a translation should be accurate. It should convey all of the ideas expressed in the original text (the source text) and present these ideas as closely as possible in the target text.
What is the purpose of the evaluation in translation?
Translation evaluation is the placing of value on a translation i.e. awarding a mark, even if only a binary pass/fail one. In the present study, different features of the texts chosen for evaluation were firstly considered and then scoring the text based on their difficulty was discussed.
What is machine translation evaluation?
Machine translation evaluation more and more important. Judging translation quality is called machine translation evaluation. It is defined commonly by technical terms. It means, with the exception which tells the user how good a translation is. Translation evaluation methods count general text-level aspects are not taken into account.
Does translation quality depend on the evaluation data?
The same translation quality can then be expected on the other data that is of the same type as the evaluation set; if not, translations of quite different quality could be obtained. The reason is in the fact that MT systems are trained on translation examples.
Is MT quality improving in translation?
MT quality is continually improving. Despite that, there are still a number of flaws in machine translation output. To make the translation correct, post-editing machine translation output is proposed to be integrated into the translation processes. It is discussed at the end of the chapter.
What is machine translation at Google?
Machine Translation is an excellent example of how cutting-edge research and world-class infrastructure come together at Google. We focus our research efforts on developing statistical translation techniques that improve with more data and generalize well to new languages.