Business French contract translation optimization assistant

Abstract

The application discloses a business French contract translation optimization method and system, and belongs to the technical field of natural language processing and machine translation. The application aims to solve the problems of high term translation error rate, sentence logic confusion, format dislocation and insufficient law domain adaptation when a general translation tool processes a business French contract. The technical scheme is to construct a four-dimensional optimization system pipeline, connect four function modules in the order of "term, sentence, logic, format" according to the priority, call a multi-law domain professional term library to calibrate the term, detect logic defects through a clause directed dependence graph, complete sentence polishing and format adaptation, and output a standard bilingual contract text. The application can standardize and optimize the business French contract translation, reduce the legal translation risk, and is suitable for the post-translation proofreading scene of French professional students and junior translation practitioners.

Description

Technical Field

[0001] This invention relates to the fields of natural language processing and machine translation technology, specifically to a translation optimization method and system for business French contracts, and particularly to terminology calibration, sentence polishing, logic checking and format adaptation technologies based on a four-dimensional optimization system. Background Technology

[0002] In cross-border trade and foreign-related legal practice, business contracts are core legal documents that clarify the rights and obligations of all parties involved in a transaction. The translation quality of Chinese-French bilingual contracts directly affects their legal validity and enforcement security. Currently, mainstream general-purpose machine translation tools exhibit the following prominent problems when processing business French contracts: First, a high rate of terminology mistranslation. General translation models lack the ability to accurately map commercial legal terminology, and some specialized legal terms are prone to literal translation errors. Such mistranslations can directly alter the legal nature of the clauses, leading to legal risks. Second, fragmented sentence structure. Legal contracts commonly employ multi-layered nested long sentences and conditional clauses. General-purpose models easily lose the unique logical hierarchy of the contract text during translation, resulting in confusion regarding cause-and-effect and transitional relationships in the translated text, failing to conform to the expression norms of legal documents. Third, a lack of logical consistency. There are strict referencing and conditional triggering relationships between the various clauses of a contract. General-purpose translation tools translate sentence by sentence independently, failing to perceive the directed dependencies between clauses, easily leading to deviations in the expression of rights and responsibilities or problems such as detached references. Fourth, insufficient format standardization. The formatting elements of contract texts, such as clause numbering, table structure, and definition blocks, often become misaligned after translation, affecting the formality and readability of the contract and increasing subsequent manual typesetting costs. Fifth, there is a lack of jurisdictional adaptation. French covers multiple legal environments, and the commercial law systems of France, Belgium, Quebec, and the French-speaking regions of OHADA differ significantly in terminology and norms. General-purpose tools cannot distinguish and adapt to the target jurisdiction, making it difficult to meet the needs of commercial legal practice in different regions. While existing translation quality assessment schemes provide multi-dimensional assessment frameworks for terminology, accuracy, and language standardization, they are positioned as auxiliary tools for manual proofreading and lack end-to-end automated optimization capabilities for the specific vertical scenario of business French contracts. Therefore, there is an urgent need for a technical solution that can systematically check and optimize translated business French contracts according to a standardized process. Summary of the Invention

[0003] This invention addresses the shortcomings of existing technologies by resolving issues such as mistranslation of terminology, inconsistent sentence structure, logical inconsistencies, format misalignment, and lack of jurisdictional compatibility in business French contract scenarios using general translation tools. It provides a method and system for optimizing the translation of business French contracts, which automatically and systematically optimizes the translation of business French contracts layer by layer in a priority order of "terminology → sentence structure → logic → format," outputting translations that meet professional legal translation standards and supporting multi-jurisdictional terminology adaptation.

[0004] To achieve the above objectives, the present invention adopts the following technical solutions: On one hand, it provides a method for optimizing the translation of business French contracts, including: acquiring and preprocessing the business French contract text to be optimized; constructing a four-dimensional optimization system pipeline, connecting four functional modules—terminology calibration, sentence polishing, logical verification, and format adaptation—in order of priority; calling a core terminology database covering multiple legal domains for business French contracts to perform terminology calibration; reconstructing and polishing sentences based on the terminology calibration results; constructing a directed dependency graph of clauses to perform logical verification; and finally performing format standardization processing and bilingual comparative typesetting output. On the other hand, it provides a system for optimizing the translation of business French contracts, including a text acquisition and preprocessing module, a four-dimensional optimization system pipeline, a core terminology database for business French contracts, and an output module; wherein the text acquisition and preprocessing module is used to complete text input and structured processing, the four-dimensional optimization system pipeline is arranged and executed according to a preset priority for each optimization step, the core terminology database for business French contracts is used to store multi-legal domain terminology mapping data, and the output module is used to generate the final optimization results and verification report. Furthermore, it provides a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the above-mentioned method for optimizing the translation of business French contracts. On another front, a computer program product is provided, comprising instructions that, when executed by a computer, cause the computer to perform the aforementioned business French contract translation optimization method.

[0005] Compared with existing technologies, this invention has the following advantages: By constructing a four-dimensional optimization system of "terminology → sentence structure → logic → format" and clarifying the priority execution order, the translation optimization process is standardized and streamlined, avoiding the problem of mixed and difficult-to-locate quality defects in various dimensions of general translation tools, thus improving optimization efficiency and result controllability. By introducing a multi-jurisdictional terminology database covering the French-speaking regions of France, Belgium, Quebec, and OHADA, the problem of terminology misuse caused by the inability of general translation tools to distinguish target jurisdictions is solved, making it adaptable to the commercial law norms of different French-speaking regions and reducing the legal risks of cross-border contracts. By modeling the reference and conditional triggering relationships between clauses through directed dependency graphs, logical defects such as circular references and dangling references can be automatically detected and graded with warnings, overcoming the limitation of sentence-by-sentence translation schemes that cannot perceive cross-clause logical connections. By maintaining the contract number, table, and bilingual layout structure through the format adaptation module, the output can be directly used in formal business scenarios, reducing the workload of manual typesetting and the probability of errors. By using a pipeline orchestrator to uniformly manage the serial and feedback execution of the four-dimensional modules, users only need to provide the text to be optimized to obtain standardized output, which greatly reduces the professional threshold for business French contract translation and is suitable for French majors and junior translators. Attached Figure Description

[0006] Figure 1 is a schematic diagram of the pipeline orchestrator execution flow according to an embodiment of the present invention; the arrow direction represents the data flow and execution order. The pipeline orchestrator connects each module in sequence according to the priority of "terminology → sentence structure → logic → format". When the logic check module (S5) detects a fatal defect, it backtracks to the sentence structure polishing (S4) or terminology calibration (S3) along the feedback loop to carry out iterative correction. The maximum number of iterations is 3.

[0007] Figure 2 is a schematic diagram of module scheduling execution in another embodiment of the present invention; the four modules are uniformly scheduled by the pipeline orchestrator, and the standard path is executed serially from left to right. When the logic check module (M30) detects a fatal defect, it sends the feedback loop back to the upstream module (M20 / M10) for iterative correction. The maximum number of iterations is set to 3. For details of the sub-steps of each module, please refer to the embodiment in the specification.

[0008] Figure 3 is a schematic diagram of the terminology database storage mapping relationship of the present invention; the terminology database uses a relational table to store the mapping relationship of "source term - target term - applicable jurisdiction - level of validity"; the same source term corresponds to different target terms in different jurisdictions and different contract contexts. The system automatically completes the mapping selection based on the target jurisdiction parameters and contract type, and the fuzzy matching threshold is set to 0.85.

[0009] Figure 4 is a schematic diagram of an example of marking defects in the logical verification of the present invention; in the example, V3 (delivery obligation) and V1 (definition clause) constitute a circular reference and are marked as severe; V5 (dispute resolution) references the non-existent Annex B and is marked as fatal; the defect is written into the logical verification report and a revision suggestion is attached; the risk level is divided into three levels: normal (green), severe (orange, such as circular reference), and fatal (red, such as dangling reference).

Claims

1. A method for optimizing the translation of business French contracts. Its characteristics are: Includes the following steps: S1 Text Acquisition and Preprocessing: Acquire the user-uploaded French business contract text or corresponding Chinese contract text to be optimized. The text involves at least one core category of business contracts, including legal rights and responsibilities, trade processes, cooperation terms, and breach of contract remedies. The text undergoes language identification, encoding standardization, and paragraph segmentation to generate structured input data. S2 Four-Dimensional Optimization System Construction: Construct a four-dimensional optimization system including a terminology calibration module, a sentence structure polishing module, a logic verification module, and a format adaptation module. Each module is executed sequentially through a unified pipeline orchestrator in the priority order of "terminology → sentence structure → logic → format". S3 Terminology Calibration: Call the core terminology library for French business contracts to identify and match legal terms in the structured input data, outputting terminology calibration results. The terminology library covers differentiated terminology mappings from the French-speaking commercial law systems of France, Belgium, Quebec, and OHADA. S4 Sentence Structure Polishing: Based on the terminology calibration results, reconstruct and standardize the sentence structure of nested long sentences in the contract text to generate polished text that conforms to French contract stylistic norms. S5 Logical Verification: Perform logical consistency checks on the revised text between clauses, identify at least one logical defect among deviations in the expression of rights and responsibilities, missing condition triggers, and misaligned proviso structures, and generate a logical verification report. S6 Format Adaptation: Based on the logical verification report, standardize the text's format, including restoring clause numbers, maintaining table structure, adapting headers and footers, and providing bilingual (Chinese and French) typesetting, outputting a professionally optimized translation.

2. The method according to claim 1. Characterized by, The terminology calibration step further includes: S3a Extracting candidate terms from the structured input data, the candidate terms including modal verbs, archaic words, terminological noun phrases, and statements of responsibility attribution. S3b Performing fuzzy and exact matching on the candidate terms in the terminology database, the terminology database storing the mapping relationship of "source term - target term - applicable jurisdiction - level of validity" in key-value pairs. S3c When the matching result has jurisdictional ambiguity, automatically selecting the corresponding term mapping according to the target jurisdiction parameter input by the user, and labeling the term confidence score. S3d Outputting the terminology calibration results, including replacement suggestions, a list of unmatched terms, and terminology consistency warnings.

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