A Corpus Processor

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Import text files in any format

Construct your own corpus by importing text files in 150+ file formats. Texts can be structured (e.g. XML).

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Apply a query

Enter a regular expression to produce the corresponding concordance. The regular expression here:
    (will | shall) <ADV>* <V+INF>
recognizes sentences that contain a verb in the Future tense. 

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Various Statistical Analyses

NooJ offers half a dozen statistical tools to measure the corpus vocabulary and concordances' results (interesting spike in future tense frequency in part #6 of the corpus).

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A simple grammar

It takes a few minutes to draw a NooJ graph and apply it to a corpus.

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A lexical field

Define and accumulate lexical fields via NooJ grammars (here: "death" theme) and apply them automatically to index and color texts, construct concordances, perform statistical analyses, etc.

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Text Annotation Structure

All linguistic analyses' results are stored in the TAS. Linguistic resources are used to add and/or remove annotations to the TAS. TAS can be imported from or exported to XML files.

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Automatic Disambiguation

Local grammars can be used to remove ambiguities. The Spanish word "la" is disambiguated as a pronoun or a determiner, depending on its right context.

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Linguistic Engineering

NooJ contains a dozen tools to help develop and edit, test, debug, check consistency of all linguistic resources. Here: the grammar's contract garantees the grammar's consistency.

Develop Linguistic Resources

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Dictionaries

NooJ's dictionaries manage any type of Atomic Linguistic Units (ALUs): simple words, multiword units, intra-word units as well as discontiguous expressions.

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Inflection and Derivation

Inflectional and Derivational paradigms can be formalized with enhanced regular or Context-Free rules.

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Term Derivation

Morphological grammars can be used to describe agglutinations, neologisms as well as sets of morphological variants (here: France).

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Context-Free Grammars

Users can construct CFGs, either as sets of recursive rules or as recursive graphs.

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Syntactic Trees

NooJ can display Derivation, Constituent and Dependency Trees, taking into account all types of ALUs. The text here contains two discontiguous ALUs: "ne ... pas" (French negation) and "baisser ... le ton" (French idiomatic expression).

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Context-Sensitive Grammars

NooJ grammars can include various types of linguistic constraints existence, distributional restrictions, agreements, etc. The grammar here verifies agreement in Gender and in Number among all components of a French Noun Phrase.

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Unrestricted Grammars

Unrestricted grammars allow NooJ to link syntactic and semantic variants, such as a noun and its pronoun, a verb and its nominalized form, etc. The grammar here represents all variants of a simple transitive sentence such as "Joe loves Lea', including aspects, modality, nominalizations, focus, pronouns, tense, etc.

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Automatic Transformation Recognition & Generation

Transformational grammars can be used either to recognize or to generate texts automatically. Here, NooJ generates over one million transformed sentences.

Over a dozen Natural Language Processing Software Applications

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Named Entity Recognition

NooJ has been used to develop NERs in over 20 languages. The graph here is part of a 20-graph grammar used to recognize and annotate English dates automatically.

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Grammatical Checker

Local grammars can be developed to recognize and annotate specific grammatical mistakes.

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Discourse Analysis

NooJ is being used for sentiment and opinion analysis. Here: a debate during the French 2017 Presidential Campaign shows the degree of assertiveness of the two participants: red participant clearly lost the debate.

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Automatic Annotations

NooJ is being used in various Business Intelligence software. Here, NooJ automatically annotates calls for tenders and links all legal references to the French database "Legifrance".

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Semantic Disambiguation

NooJ manages lexicon-grammars as well as semantic dictionaries. Here, the LVF dictionary (Dubois & Dubois-Charlier 1997) contains 25,000 different verb meaning, associated with their characteristic syntactic and semantic contexts.

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Intelligent Search Engine

By applying the LVF dictionary to one's corpus of texts, it becomes possible to pinpoint  a specific meaning of a verb. Here NooJ has found in the newspaper Le Monde Diplomatique, 2002, all occurrences of the verb abriter, sense #4: to hide oneself behind a pretext in order not to act.

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Semantic Analysis: Text to RDF to Text

NooJ grammars can be used to parse texts in Natural Languages and produce a semantic representation (e.g. in RDF), and reciprocally: produce all the sentences that can express a predicate represented by an RDF statement. 

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Machine Translation

NooJ is being used to develop automatic translation systems: Arabic to French, Arabic to English, Portuguese to English, Greek to Spanish, etc. Here, a simple grammar recognizes some French NPs and translate them in English, reordering the adjectives and taking Number agreement into account.