WordReference has two of its own dictionaries plus those of Collins. The French dictionary has over 250,000 translations and the Italian dictionary has nearly 200,000. These dictionaries continue to grow and improve as well. If you don't find what you are looking for in any of the dictionaries, search or ask in the forums.

Operationally, for each event, the value from the source setting is testedagainst the dictionary and if it matches exactly (or matches a regex whenregex configuration item has been enabled), the matched value is put in thetarget field, but on no match the fallback setting string is used instead.


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It is possible to provide multi-valued dictionary values. When using a YAML orJSON dictionary, you can have the value as a hash (map) or an array datatype.When using a CSV dictionary, multiple values in the translation must beextracted with another filter e.g. Dissect or KV.

Note that the fallback is a string so on no match the fallback setting needsto formatted so that a filter can extract the multiple values to the correct fields.

File based dictionaries are loaded in a separate thread using a scheduler.If you set a refresh_interval of 300 seconds (5 minutes) or less then themodified time of the file is checked before reloading. Very large dictionariesare supported, internally tested at 100 000 key/values, and we minimisethe impact on throughput by having the refresh in the scheduler thread.Any ongoing modification of the dictionary file should be done using acopy/edit/rename or create/rename mechanism to avoid the refresh code fromprocessing half-baked dictionary content.

When using a dictionary file, this setting indicates how the update will be executed.Setting this to merge causes the new dictionary to be merged into the old one. This meanssame entry will be updated but entries that existed before but not in the new dictionarywill remain after the merge; replace causes the whole dictionary to be replacedwith a new one (deleting all entries of the old one on update).

The target field you wish to populate with the translated code.If you set this value to the same value as source field, the plugin does a substitution, andthe filter will succeed. This will clobber the old value of the source field!

The max amount of code points in the YAML file in dictionary_path. Please be aware that byte limit depends on the encoding.This setting is effective for YAML file only. YAML over the limit throws exception.

Add a unique ID to the plugin configuration. If no ID is specified, Logstash will generate one.It is strongly recommended to set this ID in your configuration. This is particularly usefulwhen you have two or more plugins of the same type, for example, if you have 2 translate filters.Adding a named ID in this case will help in monitoring Logstash when using the monitoring APIs.

A dictionary is an aligned pair of documents that specifies a list of phrases or sentences and their corresponding translations. Use a dictionary in your training, when you want Translator to translate any instances of the source phrase or sentence, using the translation you provide in the dictionary. Dictionaries are sometimes called glossaries or term bases. You can think of the dictionary as a brute force "copy and replace" for all the terms you list. Furthermore, Microsoft Custom Translator service builds and makes use of its own general purpose dictionaries to improve the quality of its translation. However, a customer provided dictionary takes precedent and is searched first to look up words or sentences.

A phrase dictionary is case-sensitive. It's an exact find-and-replace operation. When you include a phrase dictionary in training your model, any word or phrase listed is translated in the way specified. The rest of the sentence is translated as usual. You can use a phrase dictionary to specify phrases that shouldn't be translated by providing the same untranslated phrase in the source and target files.

The neural phrase dictionary extends our dynamic dictionary and standard phrase dictionary features. Dynamic and phrase dictionaries allow you to customize the translation output by providing your own translations for specific terms or phrases. The dynamic dictionary feature is used with the Translator API while the neural phrase dictionary is enabled using Custom Translator. The neural phrase dictionary improves translation quality for sentences that include one or more term translations by letting the machine translation model adjust both the term and the context. This adjustment produces more fluent translations. At the same time, it preserves high-term translation accuracy.

A sentence dictionary is case-insensitive. The sentence dictionary allows you to specify an exact target translation for a source sentence. For a sentence dictionary match to occur, the entire submitted sentence must match the source dictionary entry. A source dictionary entry that ends with punctuation is ignored during the match. If only a portion of the sentence matches, the entry isn't matched. When a match is detected, the target entry of the sentence dictionary is returned.

You can train a model using only dictionary data. To do so, select only the dictionary document (or multiple dictionary documents) that you wish to include and select Create model. Since this training is dictionary-only, there's no minimum number of training sentences required. Your model typically completes training faster than a standard training. The resulting models use the Microsoft baseline models for translation with the addition of the dictionaries you add. You don't get a test report.

Custom Translator doesn't sentence align dictionary files, so it is important that there are an equal number of source and target phrases/sentences in your dictionary documents and that they are precisely aligned.

Dictionaries aren't a substitute for training a model using training data. For better results, we recommended letting the system learn from your training data. However, when sentences or compound nouns must be translated verbatim, use a phrase dictionary.

The phrase dictionary should be used sparingly. When a phrase within a sentence is replaced, the context of that sentence is lost or limited for translating the rest of the sentence. The result is that, while the phrase or word within the sentence is translated according to the provided dictionary, the overall translation quality of the sentence often suffers.

The phrase dictionary works well for compound nouns like product names ("Microsoft SQL Server"), proper names ("City of Hamburg"), or product features ("pivot table"). It doesn't work as well for verbs or adjectives because those words are typically highly contextual within the source or target language. The best practice is to avoid phrase dictionary entries for anything but compound nouns.

If you're using a phrase dictionary, capitalization and punctuation are important. Dictionary entries are case- and punctuation-sensitive. Custom Translator only matches words and phrases in the input sentence that use exactly the same capitalization and punctuation marks as specified in the source dictionary file. Also, translations reflect the capitalization and punctuation provided in the target dictionary file.

Your dictionary should contain unique source lines. If a source line (a word, phrase, or sentence) appears more than once in a dictionary file, the system always uses the last entry provided and return the target when a match is found.

The look up & data detectors helps me a lot for translating some words during reading. But there is no translate to my native language (Malay) in apple dictionary list. Can I use different apps other that apple dictionary? How can I do to setting that.

From the code snippet you posted it appears unlikely that it is minimal (there seem to be a lot of rows unrelated to dictionary operations), and it also seems unlikely that it is working (given that it accesses a local file on your computer to construct the case variable).

The comprehensive online dictionary from Langenscheidt is available immediately and for free to all users and visitors of this website. To translate a German word into English, just type it into the search box to generate a list of possible English translations. Alternatively, you can enter English words to find the correct German translation. Use the drop-down menu to search not only the German-English dictionary, but all online dictionaries.

In a globalised world, comprehensive language skills are gaining in importance. The online dictionary from Langenscheidt is an excellent choice for anyone wishing to learn a new language. It can help learners to expand their vocabulary and find the right German or English translation. Our dictionary also offers additional important features to support the language learning process.

The English language belongs to the West Germanic branch of languages, and it continues to be the most widely used language in the world. Today, English is spoken by approximately 330 million native speakers. When people that have English as their second language are added, the total soars to some 500 million speakers. In many countries, English language skills remain a prerequisite for social advancement and English is taught as the first foreign language in schools. English is also the official language of the majority of international organisations. English-language songs frequently appear in pop charts in Argentina, Poland, South Africa and Thailand. The German-English dictionary from Langenscheidt is available immediately to support users in learning a new language - be it after language class or when self-studying languages at home. As a result, users can learn new words and phrases easily and effectively and continuously improve their knowledge of English.

Look up any German to English translation directly in the German online dictionary. Select the appropriate letter below to see a list of German words beginning with that letter. When you have found the word you were looking for click on it to get to the German-English dictionary. ff782bc1db

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