The problem was however that the tokenization for Arabic was tricky and therefore even the understanding algorithms needed to be manually configured along with the tokenization.Īnd the end result was not good. This step of understanding the language could be automated if the tokenization was reliable. building a map of meaning for how words in the language relate to each other. Once the language was tokenized, the AI algorithms could be applied to understanding the language, i.e. This job of tokenizing the language was particularly difficult for Arabic bots as you can imagine. Every language had to be tokenized independently and essentially manually. The job of tokenizing the language required a great deal of manual intervention on the part of the NLP researcher. The same challenges that make Arabic hard to learn for humans mean that Arabic is hard to tokenize compared to most other common languages.īefore we can understand the significance of the latest breakthroughs, we need to first understand how a language model for NLP was previously created. The more systematic and orderly the language the easier it is to tokenize the language. This task is officially called the tokenizing of the language as each discrete unit of meaning is called a token. parsing up the sentences into discrete units of meaning. The first step for any natural language processing algorithm is making sense of the language i.e. Arabic Chatbot: Natural Language Processing ChallengesĪll the above creates challenges for Arabic natural language processing (NLP). In fact, one dialect may not be understandable to the speaker of another dialect, for all intents and purposes they are different languages.Īll these factors mean that Arabic is more difficult to learn for humans.ĭoes that mean however that it is also more difficult to learn for machines? Unsurprisingly the answer is yes. These forms and dialects are related to each other but do not overlap. In addition to the above, there are many forms and dialects of Arabic. All of this makes it harder to learn and leads to a larger risk of ambiguity than would exist in most other common languages.It is much more fluid than most other languages as sentences don’t conform to the subject-verb order that is typical of English.It has a complex and rich grammatical structure, for example, pronouns are embedded in the words themselves in many cases. It uses its own set of characters that are unrecognizable to speakers of other languages.This is because it is different from most languages in a few ways. The new Arabic AI chatbot technology uses machine learning to understand the structure of the language as well as to understand the “meaning” of the words.Īrabic is the fourth most spoken language on the internet but it is one of the hardest languages for non-native speakers to learn. Recent breakthroughs in natural language processing technology (NPL) make it straightforward to create Arabic chatbots. Today we can simulates and processes human conversation in Arabic between a computer an a human. An Arabic Chatbot is a program that can understand and analyse Arabic content.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |