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French verbs have a large number of simple (one-word) forms. These are composed of two distinct parts: the stem (or root, or radix), which indicates which verb it is, and the ending (inflection), which indicates the verb's tense (imperfect, present, future etc.) and mood and its subject's person (I, you, he/she etc.) and number, though many endings can correspond to multiple tense-mood-subject ...
The concept of the Ultralingua dictionary software began in 1996, when a small group of professors from Carleton College had the idea of creating a French dictionary that allowed the user to look up words on the fly with drag-and-drop technology, to and from a work in progress. The dictionary program was first developed for the Apple Macintosh ...
Reverso is a French company specialized in AI-based language tools, translation aids, and language services. [2] These include online translation based on neural machine translation (NMT), contextual dictionaries, online bilingual concordances , grammar and spell checking and conjugation tools.
Aside from être and avoir (considered categories unto themselves), French verbs are traditionally [1] grouped into three conjugation classes (groupes): . The first conjugation class consists of all verbs with infinitives ending in -er, except for the irregular verb aller and (by some accounts) the irregular verbs envoyer and renvoyer; [2] the verbs in this conjugation, which together ...
In French, les objets trouvés, short for le bureau des objets trouvés, means the lost-and-found, the lost property. outré out of the ordinary, unusual. In French, it means outraged (for a person) or exaggerated, extravagant, overdone (for a thing, esp. a praise, an actor's style of acting, etc.); in that second meaning, belongs to "literary ...
French grammar is the set of rules by which the French language creates statements, questions and commands. In many respects, it is quite similar to that of the other Romance languages. French is a moderately inflected language.
The following table compares the number of languages which the following machine translation programs can translate between. (Moses and Moses for Mere Mortals allow you to train translation models for any language pair, though collections of translated texts (parallel corpus) need to be provided by the user.
A non-aligned morphological dictionary would represent the previous example as: (houses, house n pl ) It is possible to convert a non-aligned dictionary into an aligned dictionary. Besides trivial alignments to the left or to the right, linguistically motivated alignments which align characters to their corresponding morphemes are possible.