Lingua Custodia’s Solution for Translation Spanish French and English

Specialised Machine Translation Engines for Financial Industry: Lingua Custodia’s Solution for Translation Spanish French and English

 

Lingua Custodia, a leading provider of translation services, has recently announced the availability of two specialised machine translation engines, LC Finance and LC Fund Factsheet, in French <> Spanish. These engines are designed to cater to the financial industry’s specific translation needs, including financial news, market reviews, and investment comments.

With the help of their machine-language technologies and NLP, these engines bring together some of the most cutting-edge technologies, such as artificial intelligence, to perform higher quality translations with precision on financial terms. These tools are capable of translating any document from any language to Spanish, making them a versatile solution for any financial institution with a multilingual client base.

Whenever you type a word, sentence, or phrase in Spanish or provide a document, Lingua Custodia sends requests to its engines for a translation. The engines then respond with a translated text in either English or Spanish, as per your selection. This process ensures that the translations are accurate, reliable, and of the highest quality.

Lingua Custodia’s commitment to expanding its range of ultra-specialised machine translation engines highlights its dedication to satisfying its clients’ needs. With the increasing demand for accurate and reliable translations in the financial industry, the availability of these engines is a welcome addition to Lingua Custodia’s already impressive suite of translation services.

Lingua Custodia’s specialised machine translation engines have several advantages over traditional translation methods. Firstly, machine translation engines are faster and more efficient than human translators, enabling them to translate large volumes of content in a shorter time frame.

Moreover, machine translation engines can be trained to meet the specific needs of different industries. This means that Lingua Custodia’s specialised machine translation engines are crafted to meet the financial industry’s unique language requirements, ensuring that translations are efficient and reliable.

In addition, machine translation engines are more cost-effective than human translators, making them a better choice for financial institutions looking to reduce their translation costs.

Furthermore, Lingua Custodia’s machine translation engines utilises artificial intelligence (AI) and natural language processing (NLP) technologies to ensure the accuracy and quality of translations. These technologies enable the engines to learn from huge data models and translations to improve their accuracy over time, making them more reliable and accurate.

Another advantage of Lingua Custodia’s NLP powered financial translation engines is that they can translate content in real-time, allowing financial institutions to quickly respond to market changes and provide up-to-date information to their clients.

Finally, Lingua Custodia’s machine translation engines can translate content in multiple languages, making them a versatile solution for financial institutions operating in multilingual environments.

In conclusion, Lingua Custodia’s specialised machine translation engines offer several advantages over traditional translation methods. These engines are faster, more efficient, cost-effective, and tailored to meet the unique language requirements of the financial industry. By using cutting-edge technologies like AI and NLP, Lingua Custodia’s machine translation engines provide accurate, reliable, and high-quality translations, making them a popular choice for financial institutions looking to improve their translation processes.

 

A propos de Lingua Custodia

Lingua Custodia – the guardian of the language in Latin – is a Fintech Company expert in “Machine Learning” applied to financial linguistics. With offices in France and Luxembourg, it offers over a hundred specialised translation engines available in nine languages (German, English, Chinese, Spanish, French, Italian, Japanese, Dutch, and Portuguese). Its clients include the largest international institutions. The company is labeled by Finance Innovation since 2014 and is a founding member of France Fintech since 2015. In 2018, it joined the LHoFT (Luxembourg House of Financial Technology) and the Village by CA. In 2019, it became a member of Techquartier (Frankfurt). Since 2020, it is part of the Réseau des Entreprises de Défense (RED) of the French Ministry of Defence.

 

The Impact of AI on the Fintech Industry

AI in the Fintech Industry

The fintech industry has seen tremendous growth in recent years, largely due to technological advancements. Artificial intelligence (AI), in particular, has played a key role in shaping the future of fintech. AI will change the way financial transactions are conducted, enabling businesses to serve their customers faster, more accurately, and more personalized. In this article, we examine the impact of AI on the fintech industry and how AI is changing the financial landscape.

Improve and strengthen security

One of the biggest concerns in the fintech industry is security. Cybercriminals and hackers are becoming increasingly sophisticated, making it difficult for traditional security techniques to keep up. Fortunately, AI offers a solution. AI-backed security solutions can make passwords and usernames obsolete. Instead, financial institutions can use biometrics such as facial recognition and fingerprint recognition to provide an extra layer of protection. AI can analyze user behavior patterns to detect fraud and suspicious activity in real time, making it easier to detect and prevent security breaches. Enhanced customer service

Another important impact of AI on fintech is its ability to improve customer service. Machine learning (ML) models enable computers to better understand human behavior and financial transactions. This allows us to automate processes, provide faster service and reduce errors.

Additionally, AI can provide more personalized recommendations and tailored offers based on each customer’s behavior and purchases. This machine-enabled revolution will change the way fintech companies interact with their customers, making it easier to build trust and loyalty. An intelligently tuned financial app

AI is also transforming financial apps, giving customers customized recommendations to better manage their money and reach their financial goals. A self-improving AI system improves analysis of user input and adjusts offers accordingly. For example, an AI-powered budgeting app can analyze spending patterns and make recommendations to reduce spending or increase savings. Investment apps can analyze user behavior and provide personalized investment recommendations based on risk appetite and financial goals. 

Improved algorithmic trading and decision making

AI is revolutionizing traditional trading desks by rapidly processing millions of data points and generating insights that are unidentifiable by statistical methods. AI-powered decision-making enables fintech clients to trade stocks and equities via an intuitive smartphone app. Modern AI tools can quickly and accurately analyze petabytes of data across dozens of dimensions. Thanks to its transformative ability to provide accurate real-time insights, AI is now an integral part of the decision-making process in the financial industry.

Increase productivity with less money and resources

Another important impact of AI on fintech is increased productivity. Manual processes tend to be more time consuming and costly than automated processes. By taking over routine tasks, AI automation can help save time and resources. Customer support teams can save staff money and get more done when AI handles routine questions. In addition, AI-based software can streamline administrative processes and improve data processing to further increase productivity.

Improved fraud detection

Fraudulent financial activity has increased over the past decade, making it more difficult for financial institutions to detect and prevent fraudulent transactions. But AI and ML technologies are changing that. These technologies can identify outliers, anomalies, and specific patterns typical of uninvited cyber behavior without the need for human intervention. Robust AI systems can monitor personal financial activity in real time, and AI algorithms can detect anomalous spending patterns that indicate fraud.

Automated loan approval, credit and risk assessment

AI-powered tools are also transforming the loan approval process. Rather than relying solely on factors such as income and repayment history, AI considers a wider range of data to accurately assess a customer’s financial status. Computer Algorithms Can Now Check Achieving Minimum Income and Assets and Assess a Person’s Creditworthiness

Additionally, AI can be used to analyze customer behavior patterns and preferences. It helps fintech companies offer their customers personalized and targeted credit and lending products. This can lead to increased customer satisfaction and loyalty.

Overall, the impact of AI on the fintech industry is large and far-reaching. As fintech companies increasingly adopt AI and ML technologies, they are poised to improve operations, enhance customer experience, and increase profitability.

However, with great power comes great responsibility. Fintech companies also need to be aware of potential risks and challenges associated with AI, including privacy and security concerns, bias in decision-making algorithms, and the need for human oversight and regulation. To thrive in the ever-evolving fintech landscape, it is critical that companies stay on top of the latest AI trends and innovations. Investing in AI talent and resources, partnering with AI startups and technology companies, and working with regulators to ensure ethical and responsible AI practices will help fintech companies stay competitive in the years to come. and help you stay relevant.

In summary, the impact of AI on the fintech industry is undeniable and the growth and innovation potential of AI is immense. From improving security and fraud detection, to improving customer service, to streamlining credit and credit checks, AI is changing the way fintech companies do business. By using AI and ML technologies, fintech companies can stay ahead of the curve and offer cutting-edge financial solutions to their customers. However, it is also important for companies to manage potential risks and challenges related to AI and ensure that ethical and responsible AI practices are at the forefront of their operations. 

Communiquer chaque mois avec les investisseurs dans leurs langues respectives

Communiquer chaque mois avec les investisseurs dans leurs langues respectives

Solution

Lingua Custodia connecte ses moteurs spécialisés dans la traduction des rapports de fonds au système de production de la société de gestion via API. Les rapports sont traduits automatiquement et immédiatement par le biais d’appels API puis formatés et distribués dès que les traductions sont reçues par le système. Le niveau de qualité atteint par les moteurs de traduction spécialisés de Lingua Custodia permet un processus entièrement automatisé pour cet usage. La société de gestion peut alors bénéficier d'importants gains de productivité ainsi que d'un meilleur délai de mise à disposition de ses rapports à ses clients.

Le défi

Une société internationale de gestion d’actifs produit des rapports mensuels sur les fonds pour ses clients. Ces rapports sont initialement produits en anglais mais doivent être traduits en 10 langues dans les plus brefs délais pour être diffusés très rapidement avec un budget maîtrisé.

Client

Compagnie A

Services offerts

Accès API

Lingua Custodia Lab publishes their latest research on NLP

Lingua Custodia Lab publishes their latest research on NLP

Today, Lingua Custodia Lab team present their NLP research article “Approach to integrating terminology constraints into neural translation models” which has been selected for publication at the TALN-RECITAL conference 2022 in Avignon, France.

From 27 June to 1 July 2022, the French Computer Science and Systems Laboratory (“LIS”) and the Computer Laboratory from Avignon University (“LIA”), alongside the Association for Natural Language Processing (ATALA) jointly organise the 29th conference about NLP (TALN in French) and the 24th meeting of Students Researchers in Computer Science for NLP (RECITAL in French).

TALN RECITAL conference program 2022

Preparing Machine Translation Conference WMT 2022

For the third year in a row, the Lingua Custodia Lab will be participating to a shared task at the seventh conference on Machine Translation – WMT 2022 – which will be held in Abu Dhabi in December.

https://statmt.org/wmt22/word-autocompletion.html

For the fourth year in a row, they also helped prepare the General Machine Translation shared task by providing test sets, alongside Microsoft, Facebook, NTT, the University of Tokyo, and Webinterpret this year.

https://statmt.org/wmt22/translation-task.html

Past contribution and publication

January 2022 / Covid-19 MLIA Challenge

The Lingua Custodia Lab made it 1st in 4 out of 7 languages pairs in the 2nd round of Covid-19 MLIA Challenge – a European collaboration project supported by the European Commission, the European Language Resources Coordination (ELRC), and several other entities and universities.

The objective is to organise a community evaluation effort in order to accelerate the creation of resources and tools for improved Multilingual Information Access using Machine Learning technology.

http://eval.covid19-mlia.eu/

November 2021 / Machine Translation Conference WMT

Lingua Custodia’s participation at WMT 2021 shared task on machine translation using terminologies.

https://arxiv.org/abs/2111.02120

July 2021 / ACL-IJCNLP Conference

Research paper “Encouraging Neural Machine Translation to Satisfy Terminology Constraints” has been accepted for publication at the 59th Annual Meeting of the Association for Computational Linguistics (ACL) and the 11th International Joint Conference in Natural Language Processing.

This recognition confirms the Lab’s position as a leader in the NLP field, alongside most prestigious companies: Google Research, Facebook AI or Amazon Sciences.

https://2021.aclweb.org/

A propos de Lingua Custodia

Lingua Custodia is a Fintech company leader in Natural Language Processing (NLP) for Finance. It was created in 2011 by finance professionals to initially offer specialised machine translation.

Leveraging its state-of-the-art NLP expertise, the company now offers a growing range of applications: Speech-to-Text automation, Document classification, Linguistic data extraction from unstructured documents, Mass web crawling and data collection, … and achieves superior quality thanks to highly domain-focused machine learning algorithms.

Its cutting-edge technology has been regularly rewarded and recognised by both the industry and clients: Investment houses, custody or investment banks, private banks, financial divisions within major corporations and service providers for financial institutions.

Lingua Custodia launches the first platform of Natural Language Processing (NLP) 100% Finance

The Fintech company Lingua Custodia, a specialist in NLP applied to Finance since 2011, is expanding its range of solutions for financial institutions.

For more than 10 years, Lingua Custodia has been offering specialised machine translation services to financial industry institutions and providers.

Relationships with multiple teams across all players (Investment houses, custody or investment banks, private banks, financial divisions within major corporations and service providers for financial institutions) have provided Lingua Custodia with a leading observatory to understand the evolution of their current and future needs for specialised technological solutions.

Lingua Custodia has defined a development plan of solutions on its new NLP platform, to which all employees of a client company can connect by SSO (Single Sign On) identification.

Those services are also available through API (Application Programming Interface) connection for automatic integration to its clients’ or their providers’ systems for industrial volume management.

NLP solutions now available on the platform:

  • Speech to Text: Automatic transcription of audio and video content
  • Specialised machine translation is enhanced with a module for managing terminology constraints.

Integrate Terminology Constraints into neural translation models is a topic of research conducted by Lingua Custodia Lab that has been the subject of numerous scientific publications (TALN + RECITAL in June 2022, WMT in November 2021, ACL in August 2021) which is now in production.

The following NLP solutions will be deployed on the platform in the coming months:

  • Sort access to a multilingual financial contextual dictionary
  • Extraction of information related to a targeted concept from large amount of linguistic data (e.g. ESG information)
  • Extraction of financial tables from PDF file to convert them into excel and ease their operation

Other applications currently in co-development phase with its clients will follow.

A propos de Lingua Custodia

Lingua Custodia is a Fintech company leader in Natural Language Processing (NLP) for Finance. It was created in 2011 by finance professionals to initially offer specialised machine translation.

Leveraging its state-of-the-art NLP expertise, the company now offers a growing range of applications: Speech-to-Text automation, Document classification, Linguistic data extraction from unstructured documents, Mass web crawling and data collection, … and achieves superior quality thanks to highly domain-focused machine learning algorithms.

Its cutting-edge technology has been regularly rewarded and recognised by both the industry and clients: Investment houses, custody or investment banks, private banks, financial divisions within major corporations and service providers for financial institutions.

Tirer parti des nouvelles technologies linguistiques pour l'extraction d'informations

Tirer parti des nouvelles technologies linguistiques pour l'extraction d'informations

Notre Solution

Lingua Custodia est experte en technologie linguistique et peut étudier en détail le cas d'utilisation de la banque privée pour déterminer si une approche d'IA générative est pertinente. Notre approche de conseil en intelligence artificielle permet au client de développer rapidement un prototype pour valider l'approche technique et préparer la mise en production sur la plateforme de Lingua Custodia ou au sein de l'architecture informatique du client.

Le défi

En tant que Chief Digital Officer dans une Banque Privée, je souhaite fournir à mes clients un outil de recherche efficace capable d'extraire les informations pertinentes provenant de plus de 100 000 documents disponibles dans notre base de données. Je souhaite tirer parti des nouvelles technologies linguistiques pour construire une solution efficace qui peut s'appuyer sur un grand modèle de langage (Large Language Model - LLM) sécurisé et privé.

Client

Institutions financières

Services offerts

Conseil en IA et réalisation

La veille de marché et la traduction

La veille de marché et la traduction

Notre solution

Les moteurs de traduction automatique de Lingua Custodia peuvent être utilisés pour traduire rapidement d’importants volumes de prospectus de fonds, de DIC et de fiches d'information sur les fonds. De plus, notre extracteur de tableaux PDF peut ensuite être utilisé pour extraire et vérifier les données numériques contenues dans les documents PDF, permettant d'introduire différentes variables dans les chiffres contenus dans les tableaux, de sorte que différents scénarios tels que des variations de taux d'intérêt ou toute autre condition de marché puissent être explorées.

Lingua custodia, use case

Le défi

Une société d'investissement britannique souhaite développer son portefeuille d'affaires en Europe et a lancé un projet de veille sur les marchés français, italien et allemand : concurrents locaux, fonds nationaux existants, etc. Elle a rassemblé de nombreux documents en langue étrangère et a besoin d'un puissant outil de traduction pour comprendre les marchés locaux, tout en extrayant et analysant les données chiffrées des documents PDF.

Client

Société d'investissement britannique

Services offerts

Traduction financière I.A, Extracteur de tableaux PDF

Le problème de la traduction interne standard affectant les équipes de vente internationales

Le problème de la traduction interne standard affectant les équipes de vente internationales

Notre solution

Lingua Custodia constitue une base de données linguistiques sur mesure pour l'entreprise à partir de documents déjà traduits. Un moteur de traduction automatique personnalisé est ensuite développé spécifiquement pour traduire les réponses aux appels d'offres du client. L'entreprise intègre ce moteur de traduction dans ses processus existants, ce qui permet à l'équipe RFP de réduire considérablement ses efforts de traduction tout en améliorant la cohérence linguistique de ses documents. Lingua Custodia met régulièrement à jour le moteur de traduction afin d'intégrer tout nouveau contenu traduit et d'assurer une amélioration constante de la qualité.

Le défi

Une institution financière britannique dispose d'une équipe internationale chargée des appels d'offres institutionnels. Cette équipe multilingue passe beaucoup de temps à traduire des documents de l'anglais vers les principales langues européennes et inversement afin de répondre aux demandes. La société préfère traduire en interne pour garantir la rapidité et la confidentialité de ses réponses.

Client

Institutions financières Britanniques

Services offerts

Le traitement et la traduction des documents financiers

La transcription de réunions financière

La transcription de réunions financière

Notre solution

Le service de transcription de Lingua Custodia convertit efficacement l'audio de l'événement en texte écrit. Il peut également identifier différents intervenants, vous permettant ainsi de produire des articles qui attribuent correctement les citations et les points de discussion.

Le défi

Lors de l'organisation d'une grande table ronde, vous avez besoin de récupérer le contenu de l'événement dans un format écrit pour produire des articles marketing dans lesquels sont cités ou mis en avant des points précis des échanges.

Client

Compagnie X lors d'une réunion

Services offerts

Lingua Custodia Transcription service

Réduire le risque de fuite de données pour une institution financière mondiale.

Réduire le risque de fuite de données pour une institution financière mondiale.

Notre solution

Lingua Custodia propose une offre d’accès à l'échelle de l'entreprise à sa plate-forme technologique linguistique VERTO NLP par système d’authentification unique (Single Sign On - SSO). Les technologies linguistiques Lingua Custodia fonctionnent sur une infrastructure matérielle dédiée, intégralement basée en France . Lorsqu'une institution financière souscrit à une solution entreprise en SSO de Lingua Custodia, chaque collaborateur peut accéder à une plateforme sécurisée de traitement de documents et aux technologies Lingua Custodia en se connectant via son ordinateur de travail. Le flux suivi par toutes les informations traitées est donc parfaitement maîtrisé et surveillé par le client et le risque de fuite de données est évité.

Le défi

Un risque majeur pour les institutions financières est l'utilisation incontrôlée d'outils technologiques linguistiques externes. Il existe en effet un risque important de fuite d'informations confidentielles à l'extérieur de l'organisation lorsqu'un employé essaie simplement de traduire un document ou d'en convertir le format. En plus de représenter un risque réglementaire, cela représente un fort risque commercial et réputationnel. En tant que responsable de la conformité d'une grande institution financière, je souhaite réduire ce risque.

Client

Compagnie A

Services offerts

Plateforme VERTO NLP