[pt] Improved even more the verbs/nouns rule in disambiguation.xml, rule ID:RARE_POS

[marcoagpinto]

In the previous commit I tried to restrict the rule, but I was wrong, ChatGPT said that the results were all valid, so there is no reason to restrict it.

_1_the_full_one.txt

Summary by CodeRabbit

• New Features

  • Enhanced disambiguation rules for Portuguese grammar, improving accuracy in handling parts of speech.
  • Added rules for common laughter onomatopoeia and their classifications.
  • Introduced new rules for better processing of numerical expressions, percentages, and time formats.

• Bug Fixes

  • Removed outdated rules that conflicted with common language usage.

[coderabbitai]

Walkthrough

The pull request introduces extensive modifications to the disambiguation.xml file for Portuguese language rules in LanguageTool. Key updates include the addition, removal, and modification of rules and patterns aimed at improving the disambiguation of parts of speech, particularly for conjunctions, adverbs, and verbs. New rules have been implemented for handling laughter onomatopoeia and numerical expressions, while outdated rules have been removed. The overall changes enhance the accuracy of language processing capabilities for Portuguese.

Changes

File Path	Change Summary
languagetool-language-modules/pt/src/main/resources/org/languagetool/resource/pt/disambiguation.xml	Extensive modifications including the addition of new rules for laughter onomatopoeia, updates to numerical expression handling, and removal of outdated rules.

Possibly related issues

• [pt] Disambiguator verbs/nouns issues — 2024-10-19 #10954: This issue discusses disambiguator problems with verbs and nouns, which aligns with the changes made to improve disambiguation rules in this PR.

Possibly related PRs

• [pt] disambiguation.xml, improved rule ID:RARE_POS #10901: Improves the RARE_POS rule in disambiguation.xml, related to the main PR's focus on enhancing disambiguation rules.
• [pt] Fixed tons of FPs "nouns -> verbs" in disambiguation.xml #10926: Addresses false positives in disambiguation.xml concerning verb and noun classifications, aligning with the main PR's objectives.
• [pt] Improved disambiguator to deal with RARE_POS (verified with ChatGPT 4o) #10957: Enhances the RARE_POS rule group, relevant to the main PR's updates aimed at improving disambiguation accuracy.
• [pt] Fix to disambiguation.xml rule ID:RARE_POS #10977: Modifies the RARE_POS rule, adding exceptions and refining patterns, closely related to the main PR's changes.
• [pt] Major fix in verbs/nouns detection in disambiguation.xml #10991: Adds a new rule in the RARE_POS group, enhancing disambiguation logic, which is a key aspect of the main PR's modifications.
• [pt] Fix for "ela o ama" in disambiguation.xml rule ID:RARE_POS #10993: Focuses on fixing specific issues in the RARE_POS rule, directly relevant to the main PR's goal of improving disambiguation.
• [pt] Major improvement in disambiguation.xml, rule ID:rare_pos + header text #11000: Includes significant improvements to disambiguation.xml, particularly in the RARE_POS rule, aligning with the main PR's objectives.
• [pt] Verb/noun improvements (pela/como) in disambiguation.xml #11003: Introduces a new rule in the RARE_POS group to handle specific patterns, relevant to the main PR's focus on enhancing disambiguation rules.

Suggested reviewers

• jaumeortola
• p-goulart
• susanaboatto

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[coderabbitai]

Actionable comments posted: 0

🧹 Outside diff range and nitpick comments (1)

languagetool-language-modules/pt/src/main/resources/org/languagetool/resource/pt/disambiguation.xml (1)

Line range hint 233-238: LGTM! Consider adding more documentation about the pattern.

The disambiguation rule correctly identifies and handles verb/noun ambiguity by looking at surrounding context. The pattern effectively matches sequences where a word could be either a verb or noun and uses the context to disambiguate.

While the code works well, it would be helpful to add more detailed documentation about:

• What specific cases this pattern catches
• Examples of the ambiguities it resolves
• Why removing the verb reading is the correct action in these cases

  <rule> <!-- Used ChatGPT 4o to verify the results -->
+  <!-- This rule disambiguates words that could be either verbs or nouns by looking at surrounding context.
+       Example: In "o carpinteiro serra madeira", "carpinteiro" is disambiguated as a noun because:
+       - It follows an article
+       - It's followed by another noun
+       The verb reading is removed in such cases as the context clearly indicates nominal usage.
+  -->
    <pattern>
      <token postag='VMP00.+' postag_regexp="yes"/>
      <token min='0' max='1' postag='RM' postag_regexp="no"/>
      <marker>

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📥 Commits

Reviewing files that changed from the base of the PR and between f3bcbbd and 36f9e83.

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• languagetool-language-modules/pt/src/main/resources/org/languagetool/resource/pt/disambiguation.xml (1 hunks)