diff --git a/common/common.h b/common/common.h
index 65c0ef81a..cc97ec9c2 100644
--- a/common/common.h
+++ b/common/common.h
@@ -90,7 +90,8 @@ struct gpt_params {
     float   yarn_beta_slow        =  1.0f; // YaRN high correction dim
     int32_t yarn_orig_ctx         =     0; // YaRN original context length
     float   defrag_thold          = -1.0f; // KV cache defragmentation threshold
-
+    bool ignore_english_tokens = false; // Experimental: Attempt to not sample tokens containing English characters
+    
     ggml_backend_sched_eval_callback cb_eval = nullptr;
     void * cb_eval_user_data                 = nullptr;
 
diff --git a/common/sampling.cpp b/common/sampling.cpp
index 9f332fe57..e04f5254a 100644
--- a/common/sampling.cpp
+++ b/common/sampling.cpp
@@ -121,10 +121,12 @@ std::string llama_sampling_print(const llama_sampling_params & params) {
     snprintf(result, sizeof(result),
             "\trepeat_last_n = %d, repeat_penalty = %.3f, frequency_penalty = %.3f, presence_penalty = %.3f\n"
             "\ttop_k = %d, tfs_z = %.3f, top_p = %.3f, min_p = %.3f, typical_p = %.3f, temp = %.3f\n"
-            "\tmirostat = %d, mirostat_lr = %.3f, mirostat_ent = %.3f",
+            "\tmirostat = %d, mirostat_lr = %.3f, mirostat_ent = %.3f\n"
+            "\tignore_english_tokens = %s",
             params.penalty_last_n, params.penalty_repeat, params.penalty_freq, params.penalty_present,
             params.top_k, params.tfs_z, params.top_p, params.min_p, params.typical_p, params.temp,
-            params.mirostat, params.mirostat_eta, params.mirostat_tau);
+            params.mirostat, params.mirostat_eta, params.mirostat_tau,
+            params.ignore_english_tokens ? "true" : "false");
 
     return std::string(result);
 }
@@ -423,6 +425,13 @@ static llama_token_data_array llama_sampling_prepare_impl(
         llama_sample_grammar(ctx_main, &cur_p, ctx_sampling->grammar);
     }
 
+    if (params.ignore_english_tokens) {
+    for (size_t i = 0; i < cur_p.size; ++i) {
+        if (is_english_token(ctx_main, cur_p.data[i].id)) {
+            cur_p.data[i].logit = -INFINITY;
+        }
+    }
+
     return cur_p;
 }
 
@@ -457,3 +466,20 @@ void llama_sampling_accept(
         llama_grammar_accept_token(ctx_main, ctx_sampling->grammar, id);
     }
 }
+
+bool is_english_token(const llama_context * ctx, llama_token token) {
+    const std::string token_str = llama_token_to_piece(ctx, token);
+    int english_char_count = 0;
+    bool has_angle_bracket = false;
+
+    for (char c : token_str) {
+        if (c >= 'a' && c <= 'z') {
+            english_char_count++;
+        }
+        if (c == '<' || c == '>') {
+            has_angle_bracket = true;
+        }
+    }
+
+    return english_char_count >= 2 && !has_angle_bracket;
+}
\ No newline at end of file
diff --git a/common/sampling.h b/common/sampling.h
index eeaa53b8b..e2462ea9a 100644
--- a/common/sampling.h
+++ b/common/sampling.h
@@ -41,6 +41,7 @@ typedef struct llama_sampling_params {
     float       mirostat_eta          = 0.10f;              // learning rate
     bool        penalize_nl           = false;              // consider newlines as a repeatable token
     uint32_t    seed                  = LLAMA_DEFAULT_SEED; // the seed used to initialize llama_sampling_context
+    bool        ignore_english_tokens = false;              // Ignore tokens with 3+ English characters (except those with angle brackets)
 
     std::vector<llama_sampler_type> samplers_sequence = {
         llama_sampler_type::TOP_K,