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.

 

About 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. 

Communicating every month with investors in their respective language

Communicating every month with investors in their respective language

Solution

Lingua Custodia connects its translation engines specialised for fund reports to the investment house reporting production system through API. The reports are translated automatically and immediately through API calls and formatted and distributed as soon as the translations are received back into the system. The level of quality reached by Lingua Custodia specialised translation engines allows a full automated process for this use case.The investment house can benefit from important productivity gains as well as an improved time to market for the delivery of its reports to its clients.

Challenge

A global investment house is producing on a monthly basis fund reports for its clients. Those reports are initially produced in English but need to be translated in 10 languages as soon as possible to be distributed very promptly with a controlled budget.

Customer

Company A

Services Provided

API Access

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/

About 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.

About 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.

Leveraging new Language technologies for information extraction

Leveraging new Language technologies for information extraction

Our Approach

Lingua Custodia is an expert in Language Technology and can analyse the detailed use case of the Private bank to determine if a generative AI approach is relevant. Lingua Custodia AI advisory approach allows its client to quickly develop a prototype to validate the technical approach and prepare the move into production on Lingua Custodia platform or within the client IT architecture.

Challenge

As Chief Digital officer in a Private Bank, I want to provide my clients with an efficient search tool that can extract some relevant information from more than 100 000 documents available in our database. I would like to leverage the new language technologies to build an efficient solution that can rely on a secure and Private Large Language Model.

Customer

Financial Institution

Services Provided

AI Advisory and implementation.

Market intelligence and translation challenge

Market intelligence and translation challenge

Our Solution

Lingua Custodia’s AI translation engines can be used to rapidly translate the high volume of fund prospectuses, KIIDs and Fund factsheets. Additionally, our pdf table extractor can then be used to extract and verify the data contained in the pdf documents, allowing for different variables to be introduced to the numbers contained in the tables, so different scenarios in terms of interest rates and other market conditions can be explored.

Lingua custodia, use case

Challenge

A UK investment house wants to develop its book of business on the continent and has launched a project to gather intelligence about the French, Italian and German markets: local competitors, existing domestic funds, etc. They have accumulated numerous foreign language documents and need a powerful translation tool to understand the local markets, while also extracting and analysing data from PDF documents.

Customer

UK Investment House

Services Provided

AI Financial Translation, PDF table Extractor.

Standard in-house translation issue

Standard in-house translation issue affecting the Global Sales teams

Our Solution

Lingua Custodia builds a tailor-made language database for the company using previously translated documents. A customised machine translation engine is then developed specifically to translate the client’s RFP. The company incorporates this translation engine into its existing processes allowing the RFP team to significantly reduce its translation effort while at the same time improving language consistency across its documents. Lingua Custodia regularly upgrades the translation engine in order to integrate any newly translated content and continuously improve quality.

Challenge

A British financial institution has a global team responsible for institutional requests for proposals. This multilingual team spends a lot of time translating documents from English to the main European languages and vice versa in order to meet demands. The company prefers to translate in-house to ensure the timeliness and confidentiality of their answers.

Customer

British financial institution

Services Provided

Financial document processing & translation

Financial Meeting Transcription

Financial Meeting Transcription

Our Solution

Lingua Custodia’s transcription services efficiently convert audio from the event into written text. Our service identifies different speakers, enabling you to produce articles that attribute quotes and discussion points correctly.

Challenge

Organising a large round table event, you need the written text of the event to produce marketing articles that accurately quote or highlight discussion points.

Customer

Company X in a meeting

Services Provided

Lingua Custodia Transcription service

Reducing the data leakage risk for a global financial institution.

Reducing the data leakage risk for a global financial institution.

Our Solution

Lingua Custodia offers Enterprise wide access to its language technology platform VERTO NLP through Single Sign On (SSO). Lingua Custodia language technologies run on a fully dedicated hardware infrastructure physically based in France. When a financial institution submits to an SSO Enterprise solution by Lingua Custodia, each employee can access a secure document processing platform and Lingua Custodia technologies while connecting to their  work computer. The flow followed by all processed information is therefore fully controlled and monitored by the client and the risk of data leakage is avoided.

Challenge

A major risk for Financial institutions is the uncontrolled usage of external language technology tools. There is indeed an important risk to leak confidential information outside of the organisation when an employee is just trying to translate a document or convert its format. On top of a regulatory risk, this represents a strong commercial and reputational risk. As a head of compliance of a major financial institution, I want to reduce this risk.

Customer

Company A

Services Provided

VERTO NLP Platform